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Back to Machine Learning Algorithms: Supervised Learning Tip to Tail

Learner Reviews & Feedback for Machine Learning Algorithms: Supervised Learning Tip to Tail by Alberta Machine Intelligence Institute

4.7
stars
410 ratings

About the Course

This course takes you from understanding the fundamentals of a machine learning project. Learners will understand and implement supervised learning techniques on real case studies to analyze business case scenarios where decision trees, k-nearest neighbours and support vector machines are optimally used. Learners will also gain skills to contrast the practical consequences of different data preparation steps and describe common production issues in applied ML. To be successful, you should have at least beginner-level background in Python programming (e.g., be able to read and code trace existing code, be comfortable with conditionals, loops, variables, lists, dictionaries and arrays). You should have a basic understanding of linear algebra (vector notation) and statistics (probability distributions and mean/median/mode). This is the second course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute....

Top reviews

TH

May 14, 2022

This is an excellent course which goes into some depth on the different ML models and underlying complexity but it avoids getting bogged down into the details too much.

SK

Apr 11, 2020

Excellent course. In which I had in-depth knowledge of all algorithms and the way she explained attracts to listen except for her spontaneity and speed in progressing.

Filter by:

26 - 50 of 65 Reviews for Machine Learning Algorithms: Supervised Learning Tip to Tail

By KANALA J

•

Dec 7, 2020

Excellent Teaching!:)

By RIMMON B

•

Oct 1, 2020

Really cool teaching!

By UPPUNURU K R

•

Dec 8, 2020

Great expilination

By KOTA V

•

Dec 6, 2020

good for learning

By Jorge M R V

•

Mar 14, 2021

excellent course

By AVASARALA S

•

Dec 7, 2020

Learnedly well

By D V R

•

Dec 23, 2020

Great Course

By Danilo C D C J

•

Sep 17, 2020

Nice course!

By RUCHITHA S K

•

Sep 6, 2021

It was good

By kaki m p

•

Dec 16, 2020

good course

By 221810304033 N V V

•

Aug 5, 2021

too good

By KONDAPALLI D

•

Nov 11, 2020

great!

By Enyang W

•

Feb 21, 2020

This course covers lots of important ideas and knowledges for Machine Learning practitioners. It is definitely nice to deal with topics such as grid search or scikit-learn, but I think the course only covers these topics in a nutshell, it is more superficially discussed. If you are interested in Machine Learning, you should definitely bring your own motivation to dive deeper into those topics.. Also, Dr. Koop speaks very very fast though.. I attended courses by Andrew Ng, his courses provide a way better comprehensibility for listeners. The notebooks are a bit weird, very easy to understand and are hence not challenging. If you really want to understand the algorithms deeply, I don't think this course is the right one. But all in all, I completed the course, but I don't think I was able to understand everything by taking the course only.

By Luiz C

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Sep 11, 2019

Had higher expectations. Concepts not well and clearly explained. Notebooks bugged (we are actually warned about it), but even so not so interesting. Plan of the Course not so rational: why include the one section about model parameters on its own, rather than for each model.

I give it a 3 as the Instructor is smily and engaging, but it's a 2.5 mark (I have done another ML MOOC on another concurrent platform about the same topic, and the quality was much higher)

By Varun M S

•

Jun 25, 2020

The content was good but the videos went too fast and too much theory was involved. For a beginner it was too much to take. I was expecting some Practical and programming aspects in Quizzes and tests but that is okay. Overall a good experience

By BINSHUANG L

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Dec 15, 2019

Good coverage of the topics in supervised learning. However, lacks depth in some of the concepts.

By Sara K

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Sep 30, 2021

The instructor is wonderful. She does not sound like a robot/reading off of cards like so many other instructors do. However, the practice assignments are still in draft form and missing files you need in order to complete them. That is why I gave this a one star.

By Alvaro V

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Jul 11, 2020

Very important concepts about supervised ML are presented. Really liked the course but a little stressed about the graded quices, even though I enjoyed very much.

By Brett S

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Oct 4, 2020

Excellent instruction. One of the best in ML. Could use a bit more python though.

By 121710317007 C J

•

Dec 12, 2020

good

By MATTHURTHI P V D R

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Dec 12, 2020

good

By Harika B L

•

Dec 9, 2020

good

By 121710308009 B G

•

Dec 9, 2020

good

By KANDULA J C

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Nov 21, 2020

good

By VUPPUTURI R K

•

Oct 28, 2020

Good