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Quality Score

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Overall Score : 90 / 100

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Course Description

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. Who this course is for:
  • R beginners and professionals with interest in Machine Learning and/or Deep Learning

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Instructor Details

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I am a hands-on Data Scientist with a lot of domain knowledge on Renewable Energies, especially Wind Energy.Currently I work for a leading manufacturer of wind turbines. I provide trainings on Data Science and Machine Learning with R since many years.I studied Aeronautics, and Economics. My main interests are Machine Learning, Data Science, and Blockchain.

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Reviews

4.5

14 total reviews

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By Paul Bockelmann

The lessons that I've taken with Bert on ML with R were really interesting and brought me up to speed in a very quick time. If you are looking to simply get started with the implementation side of things and begin using it in your daily work, studies are simply out of interest, the course is ideal. You need some R basics but once you have them, most of this course will be more or less fluent.

By EDGAR IVAN HERRERA LOPEZ

Good, course!! :)

By ILYA F.

Good explanations, solid content.

By Shiv Kadavath

It is a good match and I like it

By Wai Un Chan

Bert Gollnick's R course is most of the best R course in Udemy!

Do not miss out on this awesome course...

By José Antonio Hernández-Gutiérrez

It is a great course. I am enjoying it. Thanks!

By Tudor Stoica

This is the course I was looking for. Easy language to understand the main concepts with nice and clean presentations.

By Nikhil Rai

I think I chose one of the best course.

By Richard Ngamita

Good stuff, so far so good. Learning the basics that i always hear about.

By Balaji

simple explanation and good overview

By Alex Deck

I am through 25% of the modules, and having a great time. The explanations are clear and effective. I will have to do my own practice on the topics (ideally in a professional setting where I have access to many different sets of data), but just viewing the lectures is a great start.

Also, I have very little experience in R. This course alone is a good resource to strengthen my knowledge in R within a useful context.

By Kidus Tesera

Tanxs mate, it's been nice so far!