Machine Learning, incl. Deep Learning, with R

Machine Learning, incl. Deep Learning, with R

Did you ever wonder how machines "learn" - in this course you will find out.

We will cover all fields of Machine Learning: Regression and Classification techniques, Clustering, Association Rules, Reinforcement Learning, and, possibly most importantly, Deep Learning for Regression, Classification, Convolutional Neural Networks, Autoencoders, Recurrent Neural Networks, ...

For each field, different algorithms are shown in detail: their core concepts are presented in 101 sessions. Here, you will understand how the algorithm works. Then we implement it together in lab sessions. We develop code, before I encourage you to work on exercise on your own, before you watch my solution examples. With this knowledge you can clearly identify a problem at hand and develop a plan of attack to solve it.

You will understand the advantages and disadvantages of different models and when to use which one. Furthermore, you will know how to take your knowledge into the real world.

You will get access to an interactive learning platform that will help you to understand the concepts much better.

In this course code will never come out of thin air via copy/paste. We will develop every important line of code together and I will tell you why and how we implement it.

Take a look at some sample lectures. Or visit some of my interactive learning boards. Furthermore, there is a 30 day money back warranty, so there is no risk for you taking the course right now. Don’t wait. See you in the course.

Statistical Machine Learning Techniques, and Deep Learning with Keras, and much more. (All R code included)

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What you will learn

• You will learn to build state-of-the-art Machine Learning models with R.
• Deep Learning models with Keras for Regression and Classification tasks
• Convolutional Neural Networks with Keras for image classification

Rating: 4.35

Level: All Levels

Duration: 15.5 hours

Instructor: Bert Gollnick