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返回到 Machine Learning Algorithms: Supervised Learning Tip to Tail

學生對 Alberta Machine Intelligence Institute 提供的 Machine Learning Algorithms: Supervised Learning Tip to Tail 的評價和反饋

4.7
316 個評分
53 條評論

課程概述

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....

熱門審閱

SK
2020年4月11日

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.

DS
2020年5月6日

Excellent course for an overview of different ML algorithms. The course is made from a perspective of giving insights in process and not too many mathematical details.

篩選依據:

26 - Machine Learning Algorithms: Supervised Learning Tip to Tail 的 50 個評論(共 53 個)

創建者 KANALA J

2020年12月7日

Excellent Teaching!:)

創建者 Rimmon S B

2020年10月1日

Really cool teaching!

創建者 UPPUNURU K R

2020年12月8日

Great expilination

創建者 KOTA V

2020年12月6日

good for learning

創建者 AVASARALA S

2020年12月7日

Learnedly well

創建者 D V R

2020年12月23日

Great Course

創建者 Danilo C D C J

2020年9月17日

Nice course!

創建者 kaki m p

2020年12月16日

good course

創建者 KONDAPALLI D

2020年11月11日

great!

創建者 121710317007 C J

2020年12月12日

good

創建者 MATTHURTHI P V D R

2020年12月12日

good

創建者 Harika B L

2020年12月9日

good

創建者 Gayathri

2020年12月9日

good

創建者 KANDULA J C

2020年11月21日

good

創建者 VUPPUTURI R K

2020年10月28日

Good

創建者 CHILUKURU S A

2020年10月22日

nice

創建者 Kham H Y

2020年10月28日

Learn some valuable insights on scikit-learn capabitlity through the labs

創建者 nouran a

2020年5月7日

Many useful information but need some more explanation, overall awesome

創建者 Saksham G

2020年4月4日

More maths to explain the underlying concepts will be good!!

創建者 Daniel W

2020年11月28日

Machine learning concepts are introduced well.

創建者 Grecia P

2020年3月3日

week two was heavy

創建者 Marru R

2020年12月18日

nice

創建者 sandeep d

2020年8月27日

nice

創建者 Enyang W

2020年2月21日

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.

創建者 Varun M S

2020年6月25日

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