Avis et commentaires pour l'étudiant pour Apprentissage mechanique pratique par Université Johns-Hopkins
À propos du cours
Meilleurs avis
AD
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.
DH
Jun 18, 2018
Excellent introduction to basic ML techniques. A lot of material covered in a short period of time! I will definitely seek more advanced training out of the inspiration provided by this class.
26 - 50 sur 489 Examens pour Apprentissage mechanique pratique
par Yap Y A
•Mar 11, 2019
Instructor was clear in his explanation. Would prefer to have more hands on exercise for practice
par Premkumar S
•Mar 16, 2019
Great course and farily challenging exercises! Thank You for putting this together!!
par Carlo G I
•Dec 04, 2018
thank you
par Gaurav B
•Dec 22, 2018
Loved the course
par Luis M M R
•Dec 24, 2018
very good
par Dora M
•Mar 30, 2019
Really enjoyed this class and learned a lot!
par David R
•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.
par André C L
•Dec 13, 2018
very good practical experience using machine learning models, especially regarding PCA usage
par Keidzh S
•Jul 15, 2018
Practical Machine learning helped me to achieve my personal goals. Algorithm of prediction became clear, that gives the understanding of main point of the data science.
par Oleksandr K
•Jul 11, 2018
Great course! However, it would be good to learn about artificial neural networks as well.
par Laro N P
•Jul 22, 2018
Good course, I miss more practice exercise because theory is always welcome but when we are capable to understand is doing real practice.
par Ivan Y
•Mar 06, 2018
great intro to machine learning!
par sampath
•Oct 13, 2017
Tough but very good course
par Raju G
•Nov 26, 2017
Extremely useful.
par Evgeniy Z
•Apr 12, 2016
Nice course.
par MD A
•Jan 12, 2017
Excellent and useful course.
Some of the materials covered in Week 4 should be distributed to earlier week(s). The current Week 4 video coverage, quizzes, and the course project on accelerometer data is too much for the week, esp. if the student has lookup and review some key concepts from the resource links in the video slides. Video lectures are informative and easy to follow, although somewhat rushed in Week 4.
par Douglas M
•Feb 01, 2016
Great practical whirlwind tour. Light on theory, however, but it's a good entry point to the field. Thumbs up!
par Alejandro B G
•Feb 09, 2016
A great Course, my favorite into the Data Science Specialization
par Joseph
•Dec 13, 2016
Awesome course. Jeff Leek does a truly amazing job at explaining very complicated concepts thoroughly and quickly. I'm surprised we went through as much material as we did. Out of the 9, this is one my favorites.
par Jair G
•Jan 20, 2017
Top 3 course of this specialization.
par Javier A D
•May 27, 2018
References were very usefull for doing deep analisys in the thems
Quices were challenge.I learn a lot solving them.
I mis the swirl sessions
par Camilla J
•May 12, 2018
This course was really informative and extremely efficient by letting you know just the few basics needed to build some quite advanced models such as random forest..
par Ilia
•Apr 27, 2016
One of the most valuable courses in the specialization!
par Aleksey K
•Feb 10, 2016
Made many things clear. Perhaps, the best class in the series.
par Martin S
•Feb 26, 2016
Very practical tools and also very encouraging!!
