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Back to Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls

Learner Reviews & Feedback for Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls by SAS

4.9
stars
64 ratings

About the Course

Machine learning. Your team needs it, your boss demands it, and your career loves it. After all, LinkedIn places it as one of the top few "Skills
Companies Need Most" and as the very top emerging job in the U.S. If you want to participate in the deployment of machine learning (aka
predictive analytics), you've got to learn how it works. Even if you work as a business leader rather than a hands-on practitioner – even if you
won't crunch the numbers yourself – you need to grasp the underlying mechanics in order to help navigate the overall project. Whether you're
an executive, decision maker, or operational manager overseeing how predictive models integrate to drive decisions, the mo...
...

Top reviews

DB

Aug 24, 2020

I'll be honest. This course made me feel more capable on the quantitive algorithms than I think any coding class ever could. When it's taught the right way, this stuff is actually intuitive.

AM

May 13, 2023

Taking the 'Machine Learning Rock Star' specialization not only made me understand and appreciate ML concepts a great deal but now my computer and I are planning to start a rock band!"

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26 - 27 of 27 Reviews for Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls

By Jorge T

•

Oct 3, 2020

It has been a great effort to democratize access to Machine Learning for everybody. And I think it was achieved. I expected some hands on exercises so as to test the knowledge adquired. Anyway I learnt many usefull concepts for ML Project Management, Pitfalls and Ethics. Recommended course to start.

By Somrita S

•

Sep 29, 2020

The maths must be explained a bit more. At times the information is redundant.Otherwise ,its a great experience to be earned.