Machine Learning vs Deep Learning

Machine Learning vs Deep Learning

Machine Learning vs Deep Learning

Machine learning and deep learning are increasingly popular these days and both of these skills are under a broader term called Artificial Intelligence (AI).

Machine and deep learning skills are highly sought after in the tech industry. Based on the World Economic Forum’s Future of Jobs 2020 Report, 93% of companies believe AI will be a pivotal technology to drive growth and innovation. Due to its high demand, it is also evident that machine learning engineer jobs are often open for hire.

On the other hand, not many may know about deep learning or how it differs from machine learning. Hence, we will be breaking down what machine and deep learning are about and introducing some machine learning examples!

What is Machine Learning

Source: Unsplash

As its name suggests, machine learning is described as teaching a machine to learn so that it can take actions and make decisions without the need for human intervention. This is extremely useful as it helps to automate tasks faster than humans can.

For example, businesses make use of machine learning applications to recognise certain patterns and trends to make predictions. These predictions may include finding out what appeals to their customers or how a product can be improved.

Types of Machine Learning

However, machine learning is also a very broad term and there are in fact, many types of machine learning.

You may ask ‘what are the types of machine learning?’

Listed below are the main types of machine learning:

1.) Supervised learning

Supervised learning can be described as a task-driven learning process, where the machine is trained to learn by labelled data to predict outcomes accurately.

One supervised machine learning example is where your inbox is smart enough to classify spam emails and would move them directly into the spam folder, separating them from your primary inbox.

2.) Unsupervised learning

Unsupervised learning is described to be a data-driven learning process. It analyses and clusters unlabelled datasets through an algorithm that discovers hidden patterns or data groupings.

This also means that this method of machine learning is incredibly helpful for things like exploratory data analysis, cross-selling strategies and even image recognition.

In short, the goal of unsupervised learning is to find differences and similarities between the data.

3.) Reinforcement learning

Reinforcement learning is a process where the machine learns in an interactive environment via trial and error.

Unlike supervised and unsupervised learning, reinforcement learning works like a reward and punishment system. Upon acquiring a negative result, the algorithm will be forced to reiterate until it finds a better result.

One application of reinforcement machine learning is Youtube recommendations. For instance, after watching a video, Youtube will recommend other videos that may similarly interest you. In turn, if you start watching a video and end up not finishing it, Youtube will learn what you dislike and would not recommend such videos in future.

What is Deep Learning?

Source: Unsplash

Now that we’ve covered some machine learning examples and the types of machine learning, let’s talk about deep learning.

Deep learning is actually a subset of machine learning. It is a process that attempts to mimic the human brain via the use of machine learning neural networks. It is also capable of learning from a large amount of data.

Additionally, you may or may not have heard of what a ‘deep learning model’ is. A deep learning model is a file that is saved after you run a machine learning algorithm on training data.

Based on that data, the model is able to make certain predictions. This means that you no longer have to painstakingly code everything!

Building a deep learning model can help us achieve things more efficiently and most of the time, more accurately than humans! Coding everything will take us a long time, especially to run it!

Types of Deep Learning

So, what are the types of deep learning?

Deep learning uses artificial neural networks to run algorithms, they can be classified into 3 main types:

1.) Convolutional neural network (CNN)

CNN is the most common technique used in deep learning and is known for image processing applications or analysing visual imagery.

Personally, I worked on a deep learning image recognition group project using CNN, during the final year of my polytechnic studies.

My groupmates and I developed a model using CNN to create a computer-aided diagnosis system for an eye condition – Diabetic Retinopathy. The purpose of this was to provide a second opinion to eye specialists in their diagnosis.

This is one such example of the CNN technique in deep learning, where the model is trained with a large amount of image datasets to learn and predict the different severity stages of the condition.

2.) Recurrent neural network (RNN)

RNN is a technique that works with time series or sequential data. Unlike CNN where the input and output are independent of each other, the output of this technique is dependent on its previous inputs.

One notable use of RNN is Google Translate! It uses the RNN technique and acts as an enabler for the translation process to occur!

In short, RNN is used for time-related and sequential problems!

Differences between machine learning and deep learning

So, what are the differences between machine learning and deep learning?

Machine learning focuses on enabling computers to perform certain tasks without explicit programming, whereas deep learning is simply algorithms that are structured in layers to create an artificial neural network to make intelligent decisions.

To know more about how they differ, we have broken down and summarised more factors below!


Machine learning

Deep learning

Subset of artificial intelligence

Subset of Machine learning

Can train on a small dataset

(Typically seconds to hours)

Requires a large dataset to train

(Can take up to weeks)

Trains on CPU

Requires GPU to train

Takes less time to train from data

Takes a long time to train from data

Limited tuning capabilities

Can be tuned in many different ways


Machine learning programming languages & applications

Source: Unsplash

In this section, we will be listing down the top programming languages that are most used in machine and deep learning.

However, do note that there isn’t a ‘best’ programming language in this case since different programming languages have different purposes in machine learning.

1.) Python

Python is no doubt the most common programming language out there. It is also very popular due to the fact that it’s easier to learn compared to the other programming languages.

Python also has useful libraries such as Numpy, pandas, matplotlib, TensorFlow and sklearn, which come in handy for machine learning.

Some examples of Python machine learning applications include:

  • Web mining
  • Sentiment analysis
  • Chatbots/Natural language processing

If you have no knowledge in machine learning or programming, learning Python should be the first step for you!

2.) C and C++

C is one of the oldest programming languages in history and C++ only came out a couple of years after C was invented. Both languages carry more syntax rules and are more commonly known to be used for game developments and large systems. However, they are also known to be used for some applications in machine learning.

Here are a few examples of C and C++ machine learning applications:

  • Robot locomotion
  • AI in games
  • Network security and cyber-attack detection



3.) Java

Java is also another popular programming language that is used for machine learning and data science. It has useful libraries for machine learning, which include weka, mallet, apache mahout, deeplearning4j and many more!

Here’s a few examples of Java machine learning applications:

  • Customer support management
  • Network security and cyber-attack detection
  • Bioengineering/Bioinformatics

4.) R

R programming language is a great programming language in the machine learning community and it is commonly used for statistical computing, analysis and visualisation purposes.

The following are some examples of R machine learning applications:

  • Sentiment analysis
  • Fraud detection
  • Bioengineering/Bioinformatics


5.) JavaScript

With JavaScript, developers can bring AI into the web and create more intelligent web applications. JavaScript machine learning is also guaranteed to run on most electronic devices, granting access to most users! An important use of JavaScript machine learning is also model customisation.

And here are more examples of JavaScript machine learning applications:

  • Customer support management
  • Search Engine
  • Industrial maintenance diagnostics


Machine and deep learning courses

Source: Unsplash

Are you keen to pursue a career in tech that involves machine and deep learning? Doing courses online is great as they give you a better sense of what they are really about. Ultimately, it’ll help you to make an informed decision.

Since deep learning is a subset of machine learning, we strongly advise taking a course on machine learning first, before diving into its subset.

Here are some of the best machine and deep learning courses by far (2022)!

1.) Coursera

Course Title: Machine Learning

Offered by: Stanford

Cost: S$108 (Free to audit)

Ratings: 4.9/5.0

Estimated duration to complete: 61 hours

Prerequisites: None, Beginner level

Currently, approximately 4.5 million people have enrolled into the course. One notable fact is that 11% of them have started a new career upon completing the course, while 15% them have received tangible career benefit from this course.

Course Title: Deep Learning Specialization

Offered by: Deeplearning.AI

Cost: S$67 per month (Free to audit)

Ratings: 4.9/5.0

Estimated duration to complete: 5 months (8h per week)

Prerequisites: None, Beginner level

For this deep learning specialisation course, approximately 650,000+ people have enrolled and 6% of them have started a new career upon completion!

2.) Google AI

Course Title: Machine Learning Crash Course

Offered by: Google

Cost: Free

Estimated duration to complete: 15 hours

Prerequisites: A decent level of programming

There will be 25 lessons, 30+ exercises and real-world case studies for you to try out! If you aren’t particularly interested in getting a certificate, then this will be the best course for you.


Course Title: Introduction to Machine Learning for Coders!

Offered by: University of San Francisco

Cost: Free

Ratings: 4.9/5.0

Estimated duration to complete: 24 hours in 12 Weeks (8h per week)

Prerequisites: 1 year of coding experience and high school level Mathematics

This machine learning course will be great for students who already have prior experience in coding. This free course will assume that learners are familiar with mathematical topics, which include linear algebra, probability and calculus.


4.) Udemy

Course Title: Deep Learning A-Z™: Hands-On Artificial Neural Networks

Offered by: Udemy

Cost: S$108.98 (You are eligible to use your Skillsfuture credits)

Estimated duration to complete:

Prerequisites: basic Python and machine learning knowledge, and high school level Mathematics.

Similar to the previous course, this deep learning course will be great for those who have basic Python knowledge, a good understanding of high school level Mathematics and basic machine learning knowledge.

5.) Edx

Course Title: Deep Learning Professional Certificate

Offered by: IBM

Cost: USD 525.60 for full program experience (Free to audit)

Estimated duration to complete: 8 months (2 to 4 hours per week)

Suitable for: Advanced level programmers who are serious about a career in deep learning

This course is extremely costly and is definitely for those who are passionate about a career in tech. You could always attempt the full course and consider paying for the certification later.


It’s a good idea to learn machine and deep learning skills if you’re keen to pursue a career in tech. Technology is constantly evolving, you will need to constantly stay up to date with new tools, software and skills in order to remain relevant in the field.

Although a career in tech is likely to guarantee a fat paycheck, it is not a career for everyone. Always do your research or invest some time into relevant courses to decide if a career in tech is truly for you.

And if you are a Polytechnic or JC graduate, you might want to check out: Which local university to apply for? NUS, NTU, SMU, SIT, SUTD or SUSS?

Lastly, we hope that this article has helped you to understand machine and deep learning better or clear some misconceptions that you may have had.

Check out our Instagram @studyramensg and join our Telegram Channel for more student-oriented content! To find out more about Studyramen, visit our Linkedin Page at Studyramen.


15 local studygram accounts to follow for motivation

15 local studygram accounts to follow for motivation

15 Local Studygrams to follow for motivation!

local studygrams for motivation

Have you been lacking the motivation to study lately?

Apart from methods to get you motivated or motivational quotes, if you’re looking for another place of inspiration and productivity then the #sgstudygram community might help you!

In this article, we feature local studygrammers as they share more about their study accounts on Instagram!

What is a Studygram?

Photo by Nick Morrison on Unsplash

Studygram combines the words “study” and “Instagram”.

With social media applications having a bad reputation for distracting students from their studies, studygrams use social media for lofty purposes like increasing study motivation.

Studygram users document their study journey through posts of notes, planners and study tips or progress on their Instagram accounts.

A positive and supportive community, studygrams bring you motivation and is also a place to look for support, advice and to share your struggles when you study.

Want to learn more about Singaporean studygrams?

We interviewed 15 studygram account owners to learn more about their accounts and why they’ve started them.


@studyiora on Instagram

“I started @studyiora in July last year, and have been in the studygram community for almost 3 years.

I created this studygram to not only motivate myself to study but others too. I would consider my content aesthetics to be of a neutral aesthetic.

Apart from studying, I also occasionally post lifestyle and journaling related content!”

You can check out her other socials here!


@studyrui on Instagram

“I started my studygram in October 2020! I had actually shifted from a journaling account and I decided to do so so that I could focus on O Levels.

However, I didn’t really post much until May 2021. I don’t really have a theme, I just post pictures of my desk that I like whenever I feel like it!

My favourite types of pictures to post are ones that capture the early morning sunlight :)”

You can check out her other socials here!


@yueminie on Instagram

“I started my studygram around early 2020 as my friends said I had nice handwriting.

After which, I decided to open my Youtube channel in late October 2020 as I had filmed too many study time-lapses and wanted to compile them together.

My studygram is based on study tips and tricks to help students improve their grades.”

You can also check out her study youtube channel!


@evenstill_ on Instagram

“I’m Kerris, 16 this year and I own @evenstill__ on Instagram, and “study w Kerris” on telegram!

I started a studygram early this year as I wanted to motivate others to study, as well as keep myself on track.

And true to that, I was able to engage an audience, and we helped each other with our studies.

Content-wise I post a lot of study Timelapses, as it helps motivate others! I also post quotes and content that would encourage my followers to pick up their pens and get productive.”

Check out her other socials here!


@spudstudy on Instagram

“I started in June 2018 but only posed regularly in December that year.

I decided to start a study channel because I wanted to give Singaporean students a relatable experience, seeing that there were not many Singaporean study content creators.

My content centres around my school struggles and generally a very messy concept (basically me showing the reality of school).”

You can also check out her study youtube channel!


@bingsouffle on Instagram

“Hi, guys! I started my studygram during 2021, my A-level year because I’d seen other such accounts and thought that maybe if I romanticised the act of studying, I’d grow to find it more bearable (it kind of worked).

And so my studygram is an archive; a small, public diary of my journey through A-levels:”)”


@mlkboba on Instagram

“I first started this account during the circuit breaker period in 2020, around March/April. I was first introduced to the studygram community by my sister, and I was really inspired by her.

I started this studygram as I hope that it would make me more motivated and disciplined in my academics.

On my study account, I post content like handwritten notes and journal spreads along with some random pictures of my desk.”

You can also check out her other socials here!


@huihuistudies on Instagram

“I started this account when preparing for uni and my content aesthetic is just a romanticised version of my study life.

I took a gap year after JC so I didn’t know anyone who would be entering my course and since classes were all online it was harder to make friends and have people around to motivate you!

Starting a studygram was a way to motivate myself and find support from others!”


@ipromiseillstudy on Instagram

“I started my studygram on 27 March 2020, right before prelims in Secondary 4. I was really struggling to discipline myself to study.

So, I decided to create a study account to encourage myself, hence my username “I promise I’ll study!”

On my account, I post photos of my notes, stationery, and study area, sticking to a neat, pastel aesthetic.”


@darsbyhan on Instagram

“I started my studygram in mid-2018, because I saw studytubers/studygrammers back then posting about studying-related things such as productivity and stationeries. That enticed me to start a studygram.

My aesthetic is very versatile, even after four years, as I am constantly experimenting with new photo and video editing styles, that range from bright and colourful to plain and minimalistic.”

You can also check out his study youtube channel here!


@mikie.motivation on Instagram

“Hello! I go by many names, but on this platform I’m Mikie. I started my account on 1 Jan 2021.

I started my account to give myself something to invest my energy in, and take my mind off all the stress and hopefully make someone’s day a little better along the way too.

My content ranges from lettering to desk setup to lifestyle content, and even food pictures.”


@hamsterinnotes on Instagram

“Hi I’m hamsterinotes~ I’m not a hamster page but a studygram!

I started my account back in late 2018-early 2019 and back then, the pretty and inspiring posts in the studygram community caught my eye.

My go to aesthetic would be golden hour and earthy tones. I enjoy a mix of minimalism and maximalism, be it in terms of how I photograph or how I edit my photos.”


@yeoldaeng on Instagram

“I started my account in mid-2020! It was my A level year so I wanted to feel motivated by others to study and record my progress to share.

It feels less lonely studying so long when you have a place to tell about what you worked on and improve!

I guess I would describe my account as just chaotic. I try not to fuss too much about how my feed looks because the main point of this account is just to be raw anyway.”

You can also check out her youtube channel here!


@daintaey on Instagram

“Daintaey was started in around May 2021. I initially started a studygram as HBL was just announced, and my Chinese O Levels were looming around the corner.

Hence, to try to keep myself motivated, and to motivate others, I started a studygram!

I mainly post minimalistic pictures of my desk, what I’m studying and study time lapses.”

You can find her other socials here!


@studryl on Instagram

“Hello! I’m @studryl, a studygram account that started on 20th May 2019 with the support of my family and friends.

With the intention to provide aesthetic yet motivational content, I post study videos, techniques, notes and lifestyles that reflect my experiences as a student.

I hope @studryl can be a platform that continues to inspire, and also brings out the best in people during their studies.”

Final Notes

We hope this article has inspired you to start a studygram of your own!

Feel free to creatively express the way you study and don’t feel pressured to do what other accounts do if it does not suit you!

Aside from studygrams, you could also check out these self-care accounts.

For more study-related content, be sure to check out our Instagram, LinkedIn and join our Telegram Channel.

8 best tablets for students to use in 2022

8 best tablets for students to use in 2022

8 best tablets for students to use in 2022

Tablets are becoming an increasingly popular gadget among students for studying, and with good reason – a good tablet can be used for multiple purposes including reading, note-taking, attending online lessons, and doing assignments. Continue reading to find out the best tablets for students to purchase in 2022!

The best tablet for reading: The iPad Mini 6

As a tertiary student, you will have to complete multiple readings, and the iPad Mini 6 is the best tablet for you to do that! Its relatively light build makes it especially portable, and with its long battery life of up to 10 hours, the iPad Mini 6 is extremely suitable for students. Additionally, the iPad Mini 6 also contains the A15 Bionic Chip, making it a lot faster than the previous iPads!

However, the iPad Mini 6 is priced a little higher at $739, making it the ideal tablet for students looking at higher-end tablets. The tablet also does not come with any headphone jack, so students will either have to own or buy their own wireless earbuds.

Dimensions: 7.7 x 5.3 x 0.3 inches

Weight: 294 grams

Display: 8.3-inch (2266 x 1488 pixels) Liquid Retina

CPU: Hexa-core (2× 2.93 GHz Avalanche and 4× 1.82 GHz Blizzard)

Storage: 64GB, 256GB

Ports: USB-C

Battery: 5,124mAh (Supports fast charging)

Camera Resolution: 12MP (front and rear)

Get yours now!

The most portable tablet: The iPad Air

With Zoom classes becoming more and more frequent, a tablet that can support keyboards definitely serves as an advantage, making the iPad Air especially attractive for students. Containing the A14 Bionic chip, students can be assured of fast speed for all your Zoom classes! It’s support for the Magic Keyboard and Smart Keyboard Folio also makes it the most portable tablet for students to bring out with them to study.

The best tablet to bring out with you on a study date, the iPad Air can also last up to 10 hours, and is compatible with the 2nd Gen Apple Pencil, so students can take notes during their online lessons with ease. However, this tablet is priced on the pricier side at $879, making it ideal for students looking for higher-end tablets.

Dimensions: 9.7 x 7 x 0.24 inches

Weight: 455 grams

Display: 10.9-inch (2360 x 1640 pixels) Liquid Retina

CPU: 1.4 GHz dual-core 64-bit

Storage: 64GB, 256GB

Ports: USB-C

Battery: 8,827 mAh (Supports USB-PD fast charging)

Camera Resolution: 7MP (front), 12MP (rear)

Get yours now!

The best Android tablet: The Samsung Galaxy Tab S6 Lite

The best Android tablet around, the Samsung Galaxy Tab S6 Lite can last up to 13 hours, making it perfect for students who love to study outside of their homes.

The Android tablet, priced at an affordable $559, also comes with a S Pen, which makes it much easier for students to take notes and do their readings for classes. The S Pen is also attached to the tablet magnetically, which significantly reduces the chances of you losing it. Although this tablet may be slower compared to the rest, its affordable pricing as well as long-lasting battery life definitely makes up for it!

Dimensions: 9.6 x 6.1 x 0.3 inches

Weight: 455 grams

Display: 10.4-inch, 2000 x 1200 pixels

Storage: 64GB , 128GB

CPU: Octa-core (4×2.3 GHz Cortex-A73 & 4×1.7 GHz Cortex-A53)

Memory: 4GB Ram

Ports: USB-C, Headphone Jack

Battery: 7040mAh

Camera Resolution: 5MP (front), 8MP (rear)

Get yours now!

The most affordable tablet: The Samsung Galaxy Tab A7 Lite

The Samsung Galaxy Tab A7 Lite is the best tablet for any student on a budget. Priced at only $228, it is relatively cheaper than other tablets. It’s sleek and lightweight design makes it extremely portable and ideal for students who often study outside.

However, students will have to be a tad more patient with this tablet, which possesses a relatively slow speed compared to its competitors. Although the Samsung Galaxy Tab A7 Lite can also last up to 10 hours, it is not the best for online classes, as it has a relatively poor camera resolution of only 2MP for the front camera.

Photo credit: Samsung

Dimensions: 8.4 x 0.3 x 4.9 inches

Weight: 370 grams

Display: 8.7-inch, 1340 x 800 pixels

CPU: Octa-core (4×2.3 GHz Cortex-A73 & 4×1.7 GHz Cortex-A53)

Storage: 32GB, 64GB

Memory: 3GB, 4GB RAM

Ports: USB-C, Headphone Jack

Battery: 5100 mAh

Camera Resolution: 2MP (front), 8MP (rear)

Get yours now!

The best tablet for note-taking: The Samsung Galaxy Tab S7

Most students choose to purchase a tablet as an add on to their laptop – but what if you can combine both devices? The Samsung Galaxy Tab S7 is a tablet-computer, making it easier for students to condense their work on one device. This tablet can be transformed into either a laptop or tablet, at your choice!

Although this attractive tablet is a little on the pricier side at $848, the device can last up to an amazing 15 hours, and also includes an S Pen, so students do not need to make an extra purchase. The tablet is not only speedy, but also has fast charging, making it ideal for students constantly on the move while working and studying.

Photo credit: Tablet News

Dimensions: ‎0.3 x 6.3 x 9.8 inches

Weight: 500 grams

Display: 11-inch, 2560 x 1600 pixels

CPU: Octa-core (1×3.09 GHz Kryo 585 & 3×2.42 GHz Kryo 585 & 4×1.8 GHz Kryo 585)

Storage: 128GB

Memory: 6GB, 8GB

Ports: USB-C

Battery: 8,000 mAh

Camera Resolution: 5MP (front), 13MP (rear)

Get yours now!

The best value for money tablet: The Microsoft Surface Go2

Priced starting from $587, the Microsoft Surface Go2 is a mid-range tablet that can last up to 10 hours. Students will find the kickstand design of the Microsoft Surface Go2 useful, especially when browsing the Internet for their assignments or taking notes.

Although it is a little heavier compared to the rest of the tablets, the Microsoft Surface Go2 also comes with a keyboard cover, and with its speed, is suitable for students to attend online lectures and classes with it.

Dimensions: 7.98 x 10.82 x 1.89 inches

Weight: 550 grams

Display: 10.5-inch, 1920 x 1280 pixels

CPU: Intel® Pentium® Gold Processor 4425Y 8th Gen Intel® Core™ m3 Processor

Storage: 64GB eMMC, 128GB SSD

Memory: 4GB, 8GB RAM

Ports: USB-C

Battery: 8,000 mAh

Camera Resolution: 5MP (front), 8MP (rear)

Get yours now!

The best convertible tablet: The Microsoft Surface Pro 7

Another tablet-laptop, the uniqueness of the Microsoft Surface Pro 7 lies in its 3 ports, which includes a USB-C and USB-A to connect to display screens, and a Surface Connect to enable faster and more efficient transfer of data.

Although the price of the Microsoft Surface Pro 7, at $1,188, may not make it the most attractive tablet for students, its kickstand design and fast charging are functions that students on the move will appreciate. However, despite its price, it must be noted that the Microsoft Surface Pro 7 only has average speed, making it less captivating compared to its competitors.

Photo credit: Microsoft

Dimensions: ‎11.5 in x 7.9 in x 0.33 inches

Weight: 775 grams

Display: 12.3-inch, ‎2736 x 1824 pixels

CPU: Intel Core i3-1005G1, i5-1035G4, i7-1065G7

Storage: 128GB, 256GB, 512GB or 1TB SSD

Memory: 4GB, 8GB, 16GB RAM

Ports: USB-C, USB-A, Surface Connect

Battery: 5,702 mAh

Camera Resolution:5MP (front), 8MP (rear)

Get yours now!

The best tablet for design: The Wacom Cintiq 22

Design students (or aspiring ones!) will be no stranger to Wacom, the company well-known for making the best tablets for drawing and illustration. Although priced at $1,499, the Wacom Cintiq 22 grants you a clear display and HDMI cables to connect the tablet to your laptop to see your illustration in detail.

The Wacom Cintiq 22 also comes with the Wacom Pro Pen 2, a pen holder, and even an adjustable stand! The tablet also has an anti-glare surface, so students need not worry about reflections on the tablet surface when drawing.

Dimensions: ‎16.2 x 10.4 x 0.7 inches

Weight: 1,500 grams

Display: 5-inch, ‎‎1920 x 1080 pixels

Get yours now!


There are many different ways to use tablets for studying, and we hope you have a better understanding of which tablet is the best for you after reading this article.

Check out our Instagram @studyramensg and join our Telegram Channel for more student-oriented content! To find out more about Studyramen, visit our Linkedin Page at Studyramen.

10 Japanese language schools that offer cheap courses

10 Japanese language schools that offer cheap courses

10 Japanese language schools that offer cheap courses

According to this article, Japanese is ranked number one in terms of most difficult for native English speakers to learn. As someone who has tried to learn Japanese by themselves while having no background in Mandarin/Chinese (which makes Japanese easier to pick up), I can attest to this.

That’s why going to a Japanese language school and receiving some formal education can actually be helpful. It forces you to be exposed to the language on an almost constant basis and is great for those who lack the discipline to keep up with self-study.

Studyramen has compiled this list of 10 Japanese language schools you can consider attending for you to be one step closer to being a polyglot (sort of) or to finally be able to consume Japanese media in its rawest form.

Do note most of these classes are still online due to the ongoing Covid-19 situation. Check out each school’s website for updates on their physical class availability.

Tomo Japanese Language School

Address: 190 Clemenceau Ave, Singapore Shopping Centre, #03-24, Singapore 239924

Opening hours: Mon to Fri 3PM—10PM, Sat & Sun 10AM–8PM

SkillsFuture claimable: No

Tomo Japanese Language School website

Screencap from Tomo Japanese Language School website

Tomo Japanese Language School distinguishes itself from other Japanese language schools in Singapore with their very own Tomo teaching method.

One of the toughest parts about learning a new language is being able to speak it, and Tomo Japanese Language School emphasises this component greatly to ensure their students become proficient communicators.

With their rigorous curriculum, you’ll surely see rapid improvements when it comes to stringing together basic sentences!

Courses and pricing

Hougang Japanese Language School

Address: Blk 204 Hougang Street 21 #04-113/119, Singapore 530204

Opening hours: Mon to Fri 9AM–8PM, Sat 12:30PM–4:30PM, Sun 10:30AM–3:30PM

Tel: 6282 7590 | Email:

SkillsFuture claimable: Yes

Hougang Japanese Language School website

Screencap from Hougang Japanese Language School website

Hougang Japanese Language School is nestled in a HDB unit in Hougang that makes for a cosy and relaxed learning environment, perfect for those of you who want to learn at a slower pace. Started by Mr Kenji Kitahara in 1983, this Japanese language school is a homegrown business that is now succeeded by his Singaporean-Japanese son!

Courses and pricing


Address: Various community clubs in Singapore (check which CCs offer classes here)

Tel: 6225 5322

SkillsFuture claimable: Yes

While not exactly a Japanese language school, onePA offers basic conversational Japanese and elementary Japanese courses under SkillsFuture. They’re located at various community clubs (CCs) around Singapore, making it convenient for anyone to just pop in and hone their language skills with ease.

For the Basic Conversational Japanese courses, only spoken Japanese will be used and instruction is given in both English and Mandarin. Meanwhile for the Japanese for Beginners Adults courses, you’ll get to learn basic pronunciation, vocabulary, and grammar.

Courses and pricing

1 Percent Collective

Address: Online


SkillsFuture claimable: No

One Percent Collective website

1 Percent Collective’s philosophy is to set aside just 1 percent of your day to study Japanese (14.4 min) for it to become a habit. All of their Japanese classes are held online over Zoom where topics such as time, hobbies, shopping phrases, and many more are covered!

Courses and pricing

Bunka Language School

Address: 402 Orchard Road, #05-15/16 Delfi Orchard, Singapore 238876

Opening hours: Mon to Fri 10AM–7PM, Sat & Sun 10AM–5.30PM

Tel: 6737 3601, 6734 1603 | Email:

SkillsFuture claimable: Yes (only for in-person classes)

Bunka Language School website

Bunka Language School is one of the more established Japanese language schools in Singapore where all their teachers are registered with the Ministry of Education.

They also have their own range of textbooks that they’ve written for use in their classes, which is great as some more commonly used textbooks in other Japanese language schools use examples that are difficult for the average Singaporean to relate to.

The language used when teaching is what natives would use daily, and writing hiragana is taught at the outset.

Courses and pricing

Lingo School of Knowledge

Address: 87 Beach Road, #03-01 Chye Sing Building, Singapore 189695

Opening hours: Mon to Fri 9:30AM–9:30PM, Sat & Sun 9AM–5PM

Tel: 6772 1288 | Email:

SkillsFuture claimable: Yes

Lingo School of Knowledge website

Lingo School of Knowledge is a language school that specialises in teaching a variety of foreign languages in Singapore. Japanese classes are included as well, and all their teachers are MOE certified.

What’s good about this Japanese language school is that their private classes are incredibly flexible because you can set the time, location, and duration of the class as you please! This is a great option for those of you who have hectic weekdays or busy weekends.

Courses and pricing

PYAESS Japanese Language School

Address: 14 Robinson Road, #04-01, Far East Finance Building, Singapore 048545

Opening hours: Mon to Sun 10AM–10PM

Tel: 6327 1377 | Email:

SkillsFuture claimable: No

PYAESS Japanese Language School website

PYAESS Japanese Language School offers everything you could want in a Japanese language school: accessible location, approachable and bilingual teachers, and plenty of experience in teaching Japanese to the masses.

You’ll learn the 3 writing systems (hiragana/katakana/kanji) and how to write them, basic grammar and vocabulary, and some everyday conversation structures.

Courses and pricing

Inlingua School of Languages

Address: 51 Cuppage Road #10-12, Singapore 229469

Opening hours: Mon to Fri 8AM–9PM, Sat 8AM–3PM, closed on Sun and public holidays

Tel: 6737 6666 | Email:

SkillsFuture claimable: No

Inlingua School of Languages website

Inlingua School of Languages offers a variety of language courses, Japanese being one of them. Class sizes are small (around 4 to 15 students), which is good for those who need that extra attention yet want to learn in a group setting.

This is one of the rare language schools that offer lots of spaces for private study and relaxation; students can access their futsal court, barbecue area, and other facilities to chill!

Courses and pricing

Taiyo Japanese Language School

Address: 20 Kramat Lane #05-05, United House Singapore 228773

Opening hours: Mon to Fri 11AM–8PM, Sat 11AM–3PM, closed on Sun

Tel: 6589 8674

SkillsFuture claimable: Yes

Taiyo Japanese Language School website

Taiyo Japanese Language School is keen on the quality of teaching they’re putting out there, and this is evident from their no-obligation, free trial classes! In these free trials, you’ll get to learn how to write hiragana, katakana, and some kanji before you even progress to the basic courses.

If you’ve already got the writing aspect down, try out their group class or private classes—class sizes are small (6 to 8 people) for group classes so that each student gets ample focus from the teacher.

The private classes are a great alternative for those who want the quality, but want to commit at their own time and pace!

Courses and pricing

JCS Japanese Language School

Address: 112 Middle Rd, #05-00, Singapore 188970

Opening hours: Mon to Thu 10AM–8PM, Sat 10AM–2PM, closed on Fri and Sun

Tel: 6338 3428 | Email:

SkillsFuture claimable: No

JCS Japanese Language School website

Probably the most well-known Japanese language school in Singapore is this one by the JCSS (Japanese Cultural Society Singapore). Registration for their Japanese classes only opens twice per year (Nov and May), which means slots get taken up fast.

What makes this Japanese language school popular is that it doesn’t just teach you the language, but also gives you immersive cultural experiences (they’re not known as the JCSS for nothing!) such as learning how to wear a kimono and yukata, and partaking in a Japanese tea ceremony among other things.

Courses and pricing


Final notes

Ultimately, there are no terrible Japanese language schools in Singapore, and each one has their unique pedagogies, which leaves you spoiled for choice!

If you’re passionate enough about learning the language, picking up Japanese should be a relatively challenging but fun experience.

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Should I study Psychology in Singapore?

Should I study Psychology in Singapore?

Should I study Psychology in Singapore?

Do you have a strong desire to understand why your family and friends act a certain way, or why you think and feel differently from others? Are you someone who is inclined to reach out to people when they are in difficult situations or emotional distress?

Studying Psychology can provide the answers to your questions and equip you with the right skills to approach people in need!

What is Psychology

Psychology is the study of the mind and behaviour. It comprises several major disciplines such as social psychology, developmental psychology, and health psychology among others.

Social Psychology

Social Psychology is about learning how social influences affect the way we think and feel and how they can lead us to certain actions. This field of study answers many of our questions regarding relationships, including why Taylor Swift gets older… but Jake Gyllenhaal’s lovers stay her age!

Developmental Psychology

Developmental Psychology studies the lifespan of an individual, to understand how and why people change throughout life. This field of Psychology touches on areas like why children from broken families may struggle more in adulthood.

Health Psychology

Health Psychology uncovers how our biological, psychological, and social factors affect each other and influence our health – people know smoking is bad for their health, but why do they continue doing it, and how do we stop it?

These are just a few Psychology fields out of many others – do they pique your interest so far?

Psychology jobs

There are four common Psychologist jobs in Singapore, namely Counselling Psychologist, Clinical Psychologist, Educational Psychologist, and Researching Psychologist.

According to the National Council of Social Service, the starting salary of an Associate Psychologist is around $3,400 and can steadily rise to about $4,200 or in some cases, higher. As your career advances to a Chief or Director level, you can be earning around $8,100 to $10,200 and beyond.

Counselling Psychologists

Counselling Psychologists’ role is also to assess their patients and develop and recommend suitable therapy programmes like Clinical Psychologists, but they handle a slightly different group of individuals.

Counselling Psychologists are approached when one needs help with dealing with crises, alleviating distress, or improving mental wellbeing. Unlike Clinical Psychologists, their patients usually do not suffer from serious mental disorders.

The population counselling psychologists work with includes various clients, ranging from children, couples, and families to organisations.

Clinical Psychologist

Clinical Psychologists often engage individuals who struggle with psychopathologies like depression, anxiety, and eating disorders.

The job scope of clinical psychologists includes assessing their clients through various methods like psychometric tests or observations and recommending suitable interventions. They also develop and execute psychotherapy programmes.

Educational Psychologists

Photo by Jerry Wang on Unsplash

Educational Psychologists work with teachers, parents, and caregivers to deal with educational problems faced by students such as learning difficulties, special needs, and social or emotional problems that may affect their learning.

Their job responsibilities include conducting psychological assessments on students and providing interventions to support their learning and growth.

Research Psychologists

Just like the name suggests, Research Psychologists do research. They test hypotheses to discover causes of phenomena, what interventions to be implemented, how effective these interventions are, and more.

Misconceptions about studying Psychology

“I can become a Psychologist after graduating with a Bachelor’s Degree”

A Bachelor’s Degree in Psychology is not enough for one to become a Psychologist. Minimally, you will need a Master’s Degree, along with other requirements, like fulfilling 1,000 hours of supervised practice.

“I will be jobless if I don’t take a Master’s Degree after studying Psychology”

A Psychology degree is very versatile and opens many doors aside from jobs directly related to Psychology. Common career pathways of Psychology students after graduation are Human Resource and Marketing.

“I can become a Psychiatrist by studying Psychology”

Unfortunately, you cannot. As Psychiatrists are licensed doctors that can prescribe medicine, a medical degree is required.

“Studying Psychology is similar to studying Sociology”

While Psychology is focused on understanding the individual, Sociology studies the society and looks into macro-level issues like poverty and unemployment.

Why study Psychology

Due to recent events, the nation is starting to realise that psychological health is as important as physical health. The demand for counsellors and psychologists is increasing, with mental health-related organisations reporting a 20% increase in new cases compared to pre-pandemic years.

It may not be among the highest-paying jobs, but a career in Psychology can be rewarding when you find yourself able to help others get out of distressing situations and reach their potential.

Psychology degree requirements

If you are planning to take a degree in Psychology, it would be helpful to look into the different requirements and pre-requisites of each school.

Alternatively, if you are not ready to commit to a degree, there are also other Psychology diplomas and courses you can explore.

Personal experience: studying Psychology in SMU

Sourced from SMU


From what I know, National University of Singapore (NUS) and Singapore Management University (SMU) have a similar system where we are required to take modules from different Social Science disciplines in our first year before declaring our major. I find this helpful as it allows us to get a feel of the study and be clearer on the demands of each major before we fully commit.

Another good thing about SMU is that they offer all their students the option to take a double major. As someone who is always in two minds about a career in Psychology, taking a second major in Marketing provides me with a wider range of choices after I graduate.


It may be discouraging at times when doing well does not guarantee a good grade because the bell curve is extremely competitive. For example, I could score A+ in all my components and my final grade would still just be an A, and lacking in any component could cause my grade to easily drop to a B+.

Word of advice

Before studying Psychology, I think that it is important to know that being a Psychologist is not only about being well-versed in the subject. It is important to know that they are required to be mentally strong to be able to handle the cases at work and protect their own mental health.

Additionally, a highly competitive environment may not be unique to this major or school, and no matter what or where you end up studying, don’t beat yourself up over your grades when they do not turn out ideally. Think of the sacrifices and hard work you have put in and what you have learned to overcome along the way, and be proud of yourself.

Concluding thoughts

Psychology is an important field of study that contributes to our health and wellbeing. With trends pointing to an increase in demand for Psychology professionals, it is truly an opportunistic time for those interested in this field.

I hope this article helped to clear some doubts and aid you in your future decisions! For more content like this, subscribe to StudyRamen’s Telegram channel and follow us on Instagram and LinkedIn!

Is drinking coffee for studying bad for you?

Is drinking coffee for studying bad for you?

Is drinking coffee for studying bad for you?

Faced with long school hours, looming deadlines and other extracurricular commitments, more and more students are relying on caffeine to get them through the long days and late nights. As someone who drinks coffee on a daily basis during my internship and exams, I began to wonder: is drinking coffee to study bad for me?

There are numerous effects of drinking coffee while studying or working; while we regard it as the best drink for focus and concentration, it also makes us feel more jittery or results in a caffeine crash.

With caffeine slowly becoming a staple in the typical student diet (alongside tears, instant ramen, and existential dread), we have compiled some information on coffee to help understand how we should regulate our caffeine consumption.

How much coffee should I drink?

This is a rather controversial question to ask most students. Most people I ask usually drink a cup of coffee a day.

The US Food and Drug Association has stated that 400 milligrams of coffee is a rather safe amount for the average healthy adult to consume. This adds up to about 4-5 cups of coffee.

What is the best time to drink coffee?

Most experts agree that you should drink coffee for studying right after a cortisol peak. Cortisol is regarded as a “stress steroid” that your body produces that helps boost alertness and awareness.

Your body produces cortisol throughout the day, but its peaks usually occur in the morning and the afternoon. Hence, it is usually recommended to drink coffee around 9-11am and 1-5pm to maximise the cortisol peak.

Photo by Izzy Rivi on Unsplash

What are the benefits of drinking coffee for studying?

Caffeine is regarded as the best drink for boosting focus and concentration. This is because it affects adenosine receptors in our brains; this organic compound is regarded as the “sleep signaller” in our brain.

Caffeine works by affecting it such that it tricks the brain into thinking that we have just rested, giving us a sense of alertness upon consumption. This certainly helps students stay awake during long hours of studying.

Photo by Tim Gouw on Unsplash

Some studies even suggest that drinking coffee helps studying as it improves one’s mood, and in the long term, may even improve long-term memory. However, this is also largely dependent on the individual’s reception to caffeine and is subject to further research.

What are the negative effects of drinking coffee for studying?

Everything should be consumed in moderation, and caffeine is not an exception. Drinking too much coffee for studying results in various negative effects such as anxiety, nausea or even headaches.

Over-reliance on coffee can also reduce its effectiveness over time. The US Food and Drug Administration recommends that consumers stick to the recommended daily intake of caffeine, and not consume it too late in the evening as this would result in insomnia.

Is instant coffee bad for me?

You have probably met a self-proclaimed coffee connoisseur proclaim argue that “instant coffee isn’t real coffee”. Instant coffee has less caffeine in comparison to regular coffee, but do the differences stop there?

Some research shows that instant coffee has a higher acrylamide content than regular coffee. Acrylamide is a type of chemical compound that can be found in starchy foods that have undergone high-temperature cooking.

While there is no direct evidence that it causes cancer in humans, most regulatory bodies recommend reducing our exposure to it in food. This is due to evidence that acrylamide can cause cancer in laboratory animals.

While the acrylamide content in instant coffee is still at acceptable, healthy levels, one should still consume it within moderation.

Coffee, tea or energy drinks — what’s the difference?

All three drinks are perceived to boost focus and concentration. While they all provide caffeine, the main difference is that the flavour profile and sugar content usually differs.

For instance, energy drinks are sometimes regarded as the less healthy caffeine drink due to higher sugar content. On the other hand, tea is regarded as the healthier alternative to coffee, given that it has no sugar content (provided that you drink it without milk or sugar).

While energy drinks can match the caffeine levels of coffee, tea is considered to have lower caffeine levels than coffee. This is primarily because tea involves brewing leaves, while coffee involves brewing the entire coffee bean.

Hence, when deciding between coffee, tea or energy drinks, we would recommend basing your decision on how much caffeine and sugar you would want to ingest for that day.

What is it like to drink coffee every day?

So what’s the verdict on coffee for studying? I sat with E, a friend from university who has been drinking 2 to 3 cups of coffee on a daily basis, to find out more about his experience with caffeine.

E shares that coffee helps him study by keeping him awake, but is mindful of drinking it in sips throughout the day. Consuming large quantities sporadically usually results in a “caffeine crash”, “jitteriness” and would “affect sleep quality”.

Despite drinking coffee on a daily basis, since E has his intake under the recommended caffeine limit, he does not really feel any signs of withdrawal on days he chooses not to drink coffee.

E also states that drinking coffee serves more than the purpose of keeping him awake — he enjoys the experience of making coffee, its taste, and exploring different cafes and their beans.

So… is coffee for studying a yes or a no?

Overall, as long as we watch our caffeine intake and take note of the time we are consuming it, drinking coffee for studying should be rather beneficial for us.

Other than using coffee for studying, we can also pair caffeine with other positive experiences such as having meaningful conversations with friends over a cup of coffee. Alternatively, we can also find a cosy studying spot to drink while studying to improve our caffeinated study sessions.

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