Chevron Left
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
401 個評分

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

TH

2022年5月14日

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

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.

篩選依據:

51 - Machine Learning Algorithms: Supervised Learning Tip to Tail 的 64 個評論(共 64 個)

創建者 Morgan S

2021年5月23日

This course is a great overview of ML concepts. The professor is superb! I did not give 5 stars because the labs need to be improved. The labs are too simple. This course should provide more opportunities for applying the ML concepts.

創建者 Andrey Z

2021年12月29日

G​ood overview course. I hope authors will add more practice task in the futrure

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 Nicolas G

2021年4月17日

High level overview of Machine Learning, poor examples and incomplete labs.

創建者 PIYUSH G

2020年4月8日

good

創建者 Raghuram T

2020年10月10日

It could have been better if the trainer had included more hands-on examples rather than just tuning the slides and most important algorithms and its usage was there in the attached links for reading and I felt if this could have been taught in the training rather than just a document to read and self learn the quality of the course would have been fantastic.

創建者 Sara K

2021年9月30日

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.

創建者 Carlos E

2021年10月12日

D​oesn't explain in a good way the models used. Only explain how to use them. I really need the math and a deep explanation to understand how to use the function. This is like they just give you the documentation and do examples.