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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
241 個評分
39 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....

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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.

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.

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1 - Machine Learning Algorithms: Supervised Learning Tip to Tail 的 25 個評論(共 39 個)

創建者 Luiz C

2019年9月11日

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)

創建者 Efren C

2020年1月13日

Excellent course, I was looking for a course which didn't explore advance math or go into the specifics of a particular ML method but which focuses on the main differences among then and teach about the whole process of M, this is the best course for that.

創建者 S. k

2020年4月12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.

創建者 Dishant S

2020年5月7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.

創建者 Chih-Ta W

2020年9月30日

Great course, easy to grasp the main idea of how to assess and tune the performance of question-answering machines learned by machine learning algorithms through data

創建者 Alvaro V

2020年7月11日

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.

創建者 Fahim F

2020年4月17日

Great course but less in-depth knowledge about each of the hyper parameters and under the hood view of Algorithms.But excellent. Thanks!!!!!!

創建者 Sornamuhilan S P

2020年6月19日

A great short capsule course to get overall bird view on Supervised learning. Much needed one for both practitioners and new beginners.

創建者 KAZI S S

2020年6月14日

although the course felt a little hurried, I found the course and the instructor to be very engaging. I look forward to learning more

創建者 Bishrul H

2020年6月5日

It's a nice course for those who likes to learn the supervised machine learning algorithms with practical experience.

創建者 Kevin A D G

2020年5月10日

The explanation of the topics are easy to understand due to the dynamics of theory, practical exercises and quizzes.

創建者 Vinayak D

2020年9月1日

really good, wish it had covered random forest and decision trees and other supervised models as well.

創建者 Emilija G

2020年1月9日

The whole specialization is extremely useful for people starting in ML. Highly recommended!

創建者 Munem

2020年6月23日

Easy and engaging. But would loved it more if some more coding examples were given.

創建者 Brett S

2020年10月4日

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

創建者 Valerii M

2020年3月31日

Nice course! Good idea to add more practice with Jupyter Notebooks!

創建者 M J

2019年10月30日

Great course! I received so much useful information from AMII.

創建者 Miguel A S M

2019年10月15日

Excellent.

Teach you practical stuff that other courses don't.

創建者 Hamza M

2020年5月2日

A good refresher on some commonly found learning algorithms.

創建者 Dinesh K

2020年10月4日

Great learning..Talked almost all important issues.

創建者 SATHEESH K G

2020年6月28日

Good content and nicely delivered!

創建者 Saulo A G S

2020年10月29日

I learn many new concepts

創建者 Cheng H Z

2019年10月9日

Explained things clearly

創建者 Rimmon S B

2020年10月1日

Really cool teaching!

創建者 Danilo C D C J

2020年9月17日

Nice course!