Free Machine Learning Courses on the Internet.

If you want to learn how to build systems that learn from experience, then this article about free machine learning courses will shed some light on where you can learn the techniques to exploit data to create simple predictive models of the world.

The opportunities for people well versed with Machine Learning skills are exploding. According to Glassdoor, the average salary for a Machine Learning Engineer is $121,707.

First off, Mathematics is exceedingly critical in Machine Learning, so if you need to tighten your grips on the basics or advanced concepts, i’ve got your covered in this piece about the Maths for Data Science.

If you have some experience in programming, these courses will surely put you in a fast lane and help you fast-track your career in the field of machine learning.

So, without further ado, let’s get started.

Best Machine Learning Courses on the Internet

I have complied these free courses according to the student ratings, difficulty level and courses outline.

If you would like us to audit any free machine learning course that you feel should be listed in this piece, please let us know in the comments below!

CS229: Machine Learning – Spring 2019Stanford

This course is designed by Stanford university to provide a broad introduction to machine learning and statistical pattern recognition.

Stanford is one of the best places to learn Machine Learning on the Internet. One of their Machine Learning Course by Andrew Ng has over 2 million enrollments and is highly praised and recommend for every Data Scientist and Machine learning Engineer.

Free Machine Learning Course

Is it right for you?

This course assumes basic understanding of computer science and Python for Data Science (Numpy), and basic familiarity of topics related to Math for Machine Learning.

Upon the successful, you will be equipped with solid understanding Supervised learning, Unsupervised learning, Computational learning theory, reinforcement learning and adaptive control.


Data Science: Machine Learning Harvard

This introductory course on Machine Learning for Data Science is provided by Harvard University (HarvardX) and delivered via edX by Professor Rafael Irizarry.

This course will provide an introduction to machine learning and help learners to understand the important concepts behind performing cross-validation to avoid overtraining.

You will also learn about the popular machine learning algorithms, understand regularization and why it is useful in the field of machine learning.

Data Science - Machine Learning - HarvardX

Is it right for you?

This course is suitable for learners with some experience in Python and basic understanding of Data Science.

Upon the successful completion of this course, you will have a solid understanding of basic concepts required to build a recommendation system.


Intro to Machine Learning Udacity

This course on Machine learning is a part of Udacity’s Machine Learning Engineer NanoDegree. Created by Sebastian Thrun, Co-Founder of Udacity and Adjunct Professor at Stanford University, along with Katie Malone, Director of Data Science Research & Development at Civic Analytics.

In this course, you’ll start with Machine learning algorithms, analyzing and training data sets. And learn the end-to-end process of investigating data through machine learning lens.


Is it right for you?

Intro to Machine Learning is a Free Course and a recommenced  prerequisite course for Machine Learning Engineer Nano degree Program offered by Udacity.

If you’re a beginner in Machine Learning with some Programming experience and background in Statistics, this course will help you skill yourself in machine learning.

Hands-on exercises and projects are central to the syllabus, so if you prefer hands-on learning, you’ll definitely love this course.


Machine Learning Crash Course

Machine Learning crash course from Google will introduce you to Google’s best practices in machine learning to help you get ahead in the field of machine learning. Created by Peter Norvig, Computer Scientist and Director of Research at Google INC.

You will learn to  apply fundamental machine learning concepts, gain real-world experience with the companion Kaggle competition, and you can also Learn with Google AI to explore the full library of Machine Learning training resources to become a practitioner of the art.

Machine Learning Crash Course - Google

Is it right for you?

This course will help you recognize the practical benefits of mastering machine learning and understand the philosophy behind machine learning.

This course features a series of lessons with video lectures, real-world case studies, and hands-on practice exercises. You will Learn best practices from Google experts on key machine learning concepts.


Thanks for making it to the end 😉

If you liked this article, I’ve got a few practical reads for you. One about the Best TensorFlow Courses and one about Learning Machine Learning for Finance.

Also, please consider joining our mailing list. I usually send a tiny email once every fortnight with some useful and cool stuff we’ve found/made.

Don’t worry, I hate spam as much as you.

Banner Image Credits:

Course Images: Stanford, Google AI, Udacity, edX