you will learn from this course

1-everything about machine learning 

2-Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks)

3-Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning)

4-Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI)

5-studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control)

-and other areas

link this course : >HERE<

watching this course : 4,825,900+

Time : 27:12:00

language : english