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Robert Stahr

Robert Stahr
France
Computer Science
Doctor of Philosophy

Machine Learning Foundations: A Case Study Approach

Written 2 years ago
I had already completed Andrew Ng's Machine Learning course (Coursera/Stanford), and a couple of courses in the Data Science specialization (Coursera/Johns Hopkins). Although I loved Andrew Ng's course, I was looking for something more in-depth and a little more useful in my daily work than Octave or R, which are the languages used in these other Coursera courses. So when I saw this University of Washington specialization and read that they use Python, I was very excited.

I was a little less excited when I saw that the courses were not free like the other Coursera courses I had previously taken - but hey, it costs money to produce a course, so paying a little seems reasonable.

However, I soon realized that you don't actually program anything in python, you just slightly modify pre-chewed bits of code. And you don't really do much that is useful in a real job situation because everything is done via very high-level calls to a proprietary (and VERY expensive) python library called GraphLab. They "kindly" give you a one-year free license to the thing, but when you discover that one of the instructors is the co-founder of the company that produce and sell GraphLab, you realize that this is not really a course, it's an info-commercial that you had to pay for.

Don't waste your time or money on this course. Try Andrew Ng's course (on Coursera) or Sebastian Thrun's courses (on Udacity). They are much better and they are free.

My rating
Robert Stahr completed this course, spending 3 hours a week on it and found the course difficulty to be easy.

Machine Learning

Written 2 years ago
This is a great course. Andrew Ng really knows how to communicate his passion for the subject. Everything is clear and concise, well said and well written. I wish there were more courses like this one. The only thing I would have liked to be different is the programming language used. Andrew uses Octave, which is fine for a course, but much less useful than Python. Maybe a couple of videos on "Machine Learning in Python" could do the trick.

Anyway, I highly recommend this course for anybody wanting to know about Machine Learning!
My rating
Robert Stahr completed this course, spending 5 hours a week on it and found the course difficulty to be medium.

Model Thinking

Written 2 years ago
My rating
Robert Stahr completed this course.

Gamification

Written 2 years ago
My rating
Robert Stahr completed this course.

R Programming

Written 2 years ago
OK Course. What bothered me most was that you do not see the instructor for most of the course. You just see the slides and hear a voice.
My rating
Robert Stahr completed this course, spending 3 hours a week on it and found the course difficulty to be easy.

The Data Scientist’s Toolbox

Written 2 years ago
OK Course. What bothered me most was that you do not see the instructor for most of the course. You just see the slides and hear a voice. And one instructor hadn't prepared well so it was awful to listen to.
My rating
Robert Stahr completed this course, spending 2 hours a week on it and found the course difficulty to be easy.

Learning How to Learn: Powerful mental tools to help you master tough subjects

Written 2 years ago
Great course with lots of useful insights - no matter what your current education level! I highly recommend this course.
My rating
Robert Stahr completed this course, spending 3 hours a week on it and found the course difficulty to be easy.

Introduction to Game Development

Written 2 years ago
Fun and instructive course. You actually get your hands dirty creating a couple of simple games with the ultra-powerful Unity3D game engine (which is free!!)
My rating
Robert Stahr completed this course, spending 7 hours a week on it and found the course difficulty to be medium.

Core Concepts in Data Analysis

Written 2 years ago
The instructor - however knowledgeable he might be - is terrible. He often rambles - about unimportant anecdotes - and doesn't seem to have a clear plan about what to say. There are many other free online courses covering similar subjects, so check out some of them instead of wasting your time on this one.
My rating
Robert Stahr dropped this course, spending 4 hours a week on it and found the course difficulty to be medium.

Neural Networks for Machine Learning

Written 2 years ago
My rating
Robert Stahr partially completed this course.

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