Mar 01, 2017
Issues of every stage of the construction of learning machine model, as well as issues with several different machine learning methods are well and in fine yet very understandable detail explained.
Aug 31, 2017
Highly recommend this course. It makes you read a lot, do lot's of practical exercises. The final project is a must do. After finishing this course you can start playing with kaggle data sets.
創建者 João Freire•
Feb 14, 2019
Very good course. Clear explanations and examples give a good overview of the foundations of Machine Learning. After this course the student can build Machine Learning models.
創建者 Raul Martinez•
Feb 12, 2019
The class is good but it is too simple. I expected the professor will provide more detail about the models. This is just an introduction and weak for a specialization.
創建者 Avizit Chandra Adhikary•
Jan 31, 2019
A very good course giving brief descriptions and applications of some of the used statistical and machine learning algorithms.
創建者 Philip Erik Wikman Jorgensen•
Jan 30, 2019
Jef leek explains to fast and the theory behind the different algorithms is scarcely explained.
創建者 Daniel J. Rodriguez•
Jan 17, 2019
Seems like a lot to pack into 4 -weeks. Should really be named introductory machine learning. Needs more depth and better development of the intuitions associated to each algorithm class to match the expectations.
創建者 Mohammad Abuarar•
Jan 17, 2019
Wonderful course and instructor, it was the best in the specialization courses so far.
One note is that for most of the methods the explanation was too much precise and short and needed to reinforce it by extra material
創建者 David Robinson•
Jan 14, 2019
Great introduction to Machine Learning in R. Concepts explained very clearly and project gave opportunity to test out the concepts introduced to real data.
創建者 Alex Fleming•
Dec 30, 2018
A fine introduction, but there are much more engaging and better quality courses out there...
創建者 Luis Manuel Murillo Reyna•
Dec 24, 2018
創建者 Gaurav Bhosale•
Dec 22, 2018
Loved the course