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5 Best Machine Learning and Deep Learning Courses on Coursera in 2021

tut_ml
I write articles about Data Science & Machine Learning.
・4 min read

Hi,

There are huge demands and high salaries in the Machine Learning field. That is the reason a lot of people are shifting their careers into Machine Learning.

In order to learn machine learning, Coursera is one of the most popular platforms. That’s why I am gonna share some of my favorites Machine Learning Courses on Coursera.

I hope these courses will help you too. So, without further ado, let’s start finding Best Machine Learning Courses on Coursera-

1. Machine Learning (Coursera)

machine learning

Provider- Stanford University
Instructor- Andrew Ng
Rating- 4.9/5

This is no doubt one of the Best Online Course for Machine Learning. This course is created by Andrew Ng the Co-founder of Coursera, and an Adjunct Professor of Computer Science at Stanford University.

This Course provides you a broad introduction to machine learning, data-mining, and statistical pattern recognition.
All the math required for Machine Learning is well discussed in this course.

This course uses the open-source programming language Octave. Octave gives an easy way to understand the fundamentals of Machine Learning.

Who Should Enroll?

This Course is Most Suitable for Complete Beginners. But people with some basic understanding of ML can also enroll.

So, are you interested to start Learning ML from this Course? If yes, then You can Sign Up here.

2. Deep Learning Specialization (deeplearning.ai)

Provider- deeplearning.ai
Instructor- Andrew Ng, Younes Bensouda Mourri, Kian Katanforoosh
Rating- 4.8/5

This course is also taught by Andrew Ng. This is a Specialization Program that contains 5 courses.

This Deep Learning Specialization is an advanced course series for those who want to learn Deep Learning and Neural Network.

Python and TensorFlow are used in this specialization program for Neural Network. This is the best follow up to Andrew Ng’s Machine Learning Course.

More than 250,000 learners from all over the globe have already enrolled in this Specialization Program.

Who Should Enroll?

NOTE- This Specialization Program is not for Beginners. This program is suitable for those-

  1. Those who have some basic understanding of Python.
  2. And who has a basic knowledge of Linear Algebra and Machine Learning.

So, are you interested to start Learning ML from this Course? If yes, then You can Sign Up here.

3. Machine Learning with Python (Coursera)

Alt Text

Provider- IBM
Rating- 4.7/5

This is another Machine Learning course for Beginners. This course starts with the basics of Machine Learning. Python is used in this course to implement Machine Learning algorithms.

The best part of this course is the practical advice given after each machine learning algorithms.

Before starting a new algorithm, the trainer gives you the details of how the algorithm works, pros, cons, and which type of problem can be solved by this algorithm.

Who Should Enroll?

This course is good for beginners in Machine Learning, who wanna learn Machine Learning with Python.

So, are you interested to start Learning ML from this Course? If yes, then You can Sign Up here.

4. Advanced Machine Learning Specialization

Provider- National Research University Higher School of Economics
Rating- 4.5/5

This Specialization series is an advanced series of courses. If you want to learn more than the basics of Machine Learning, then this is the best choice for you.

This specialization program fills out all the gaps in your knowledge in Machine Learning. As this is an advanced series of courses, that’s why you need to have more math knowledge.

In short, this specialization program is for those who are already in the industry. This course will sharpen their skills.

Throughout this Specialization program, you will create several projects, that will help you to build a more powerful portfolio.

Who Should Enroll?

Those who have Intermediate level knowledge in Machine Learning.
Or the one who is already in the industry and wants to sharpen Machine Learning skills.

So, are you interested to start Learning ML from this Course? If yes, then You can Sign Up here.

5. Mathematics for Machine Learning Specialization (Coursera)

Provider- Imperial College London
Rating- 4.6/5

To learn Machine Learning, Mathematics knowledge is crucial. This specialization program will fill out the gap in Mathematics knowledge.

This Specialization program will help you to understand the concepts of Mathematics required in Machine Learning.

This program starts with the basics of Linear Algebra and Multivariate Calculus.

At the end of this specialization program, you will have a clear understanding of mathematical knowledge to continue your journey in Machine Learning.

Who Should Enroll?

Who is a beginner and wants to learn Mathematics for Machine Learning.

So, are you interested to start Learning ML from this Course? If yes, then You can Sign Up here.

And here we go, Congratulation! You successfully searched the Best Machine Learning Course on Coursera for you!

NOTE- Some of the links in the post are Affiliate Links. This means if you click on the link and purchase the course, I will receive an affiliate commission at no extra cost to you😊.

Happy Learning!

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