Top 10 Free Machine Learning Online Courses and Tutorials [ UPDATED ]

Top 10 Free Machine Learning Online Courses and Tutorials

Best Machine Learning FREE Courses Online

As we as a whole realize that machine learning or artificial intelligence has progressively increased greater fame in the recent years and still keeps on doing as such. As at the exact instant Big Data is the present trend in the tech business, machine learning ends up being amazingly effective with regards to making expectations or ascertained recommendations that depend on a lot of data.

The significance it conveys alongside the universe of surprise it conveys is outstanding and caught on. Be that as it may, where people for the most part need or stop at is one fundamental inquiry:

So if an individual needs to take in more about machine learning, how would you begin and from where?

So as to think about AI/Machine Learning, one needs unmistakable fascination as well as the correct assets that can give the same.

In a similar setting, Given underneath is a rundown of Top 10 Free Machine Learning Online Free Courses and Tutorials by leading researchers in the field to help you with starting from scratch or even improving if already familiar. Most of the courses mentioned below are not only free but also self-paced without the need of any registration.

The topics covered by these courses include decision trees, Naive Bayes, logistic regression, neural networks and deep learning, estimation, Bayesian learning, support vector machines and kernel methods, clustering, unsupervised learning, boosting, reinforcement learning, and learning theory. For advanced deep learning courses, see 15 deep learning open courses for both theoretical and applications of deep learning.

 

 

Below are the Top 10 Best machine learning courses for FREE

 

1.) Machine Learning

Ruslan Salakhutdinov. Carnegie Mellon University, Director of AI Research at Apple. This course was taught at University of Toronto. 2015

 

Course Link : Click Here

 

2.) Machine Learning and Pattern Recognition

Yann LeCun. New York University, Director of AI Research at Facebook 2010

Course Link : Click Here

 

3.) Machine Learning

Kilian Weinberger. Cornell. 2017

This course includes purely video lectures.

 

Course Link : Click Here

 

 

3.) Neural Networks for Machine Learning

Geoffrey Hinton. University of Toronto via Coursera. 2017

This course includes video lectures. This is the newer version of his 2014 course

Course Link : Click Here

 

 

4.) Machine Learning and Adaptive Intelligence

Neil Lawrence. University of Sheffield, Director of Machine Learning at Amazon. 2015

This course includes purely video lectures

 

Course Link : Click Here

 

4.) Intro to Neural Networks and Machine Learning

Roger Grosse. University of Toronto. 2017

 

Course Link : Click Here

 

 

5.) Information Theory, Pattern Recognition, and Neural Networks

David J. C. MacKay. University of Cambridge via Video lectures.

This course includes video lectures

 

Course Link : Click Here

 

 

6.) Machine Learning

Tom Mitchell and Maria-Florina Balcan. Carnegie Mellon University. 2015

This course includes video lectures

 

Course Link : Click Here

 

 

7.) Machine Learning

Michael Littman, Charles Isbell, and Pushkar Kolhe. Georgia Institute of Technology via Udacity. 2017

This course includes video lectures

 

Course Link : Click Here

 

 

9.) Introduction to Machine Learning

Sargur Srihari. University at Buffalo. 2017

Course Link : Click Here

 

 

10.) Tutorial: Machine Learning

Andrew Moore. Dean of School of Computer Science at Carnegie Mellon University.

 

Course Link : Click Here

 

 

Additionally see some free additional courses in Machine Learning and Artificial Intelligence which I have listed earlier in my post which are free.

 


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