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.
226 - 250 sur 489 Examens pour Apprentissage mechanique pratique
par Prakhar P
•Jun 06, 2018
This course introduces to the machine learning package caret. A solid launch pad into the exciting world of data analytics.
par Rajesh S
•Sep 04, 2017
Awsome course!
par Deleted A
•Dec 04, 2017
Great Stuff. Learned a LOT!!!
par JEEWESH K J
•Oct 09, 2017
Excellent Course
par Ganesh P
•May 09, 2018
Very well plan
par Antonio M P
•Mar 06, 2018
This is great though it is too fast
par Jean N
•Aug 24, 2017
Very nice Course. I am applying it right away for Predictions in the Telecoms environment.
par BHAVINKUMAR A P
•Jun 13, 2018
excellent platform for online course ..
par Ravi K
•Sep 29, 2016
Excellent course for beginner.
par Vitalii S
•Aug 01, 2017
No swirl exercises, but last project totally worth my time.
par Muzaffar H
•Oct 15, 2017
Essential starter for budding data scientist. Learned the basics and at least have the idea on how to conduct.
par Sai P G
•Sep 07, 2017
good
par Theodoros M
•Jul 10, 2018
Practical ML is a great course, that provides training in the practical aspects of the topic.
par Peter B
•Sep 06, 2018
Excellent lectures.
par Pablo L
•Sep 20, 2018
Excelent course, it's a little bit short considering the breadth of the topic, but covers the most important algorithms and never abandon it's focus on methodology.
par Shashwat K
•Oct 15, 2018
insightfull
par Rebecca K
•Sep 24, 2018
This course gave a great basic understanding of some different machine learning algorithms and what they do. I now have a great practical understanding of how to implement them, and enough understanding of theory to know what I'm talking about and to be able to learn more about them in the future.
par Yusuf E
•Oct 17, 2018
It would have been nice if there was an introduction to deep learning. Also, linear methods are discussed at length again which is not really necessary. Otherwise, great course to get you started on machine learning applications in R.
par Ted
•Oct 18, 2018
Greate course! Lot of things learned!
par Bojan B
•Oct 14, 2018
Great course with great materials. Easy to understand and to learn.
par Athanasios S
•Aug 09, 2018
Great class! I wish you would do a little more explanation about what methods are best for which scenarios. If you did in fact explain that and it went over my head or I missed it, I apologize. Great class that I learned a lot from.
par Rahimullah S
•Oct 28, 2018
thank you, this class is very practical and informative. The projects are a little complicated but very practical.
par Suresh R
•Oct 31, 2018
Very good course
par Adam R
•Nov 11, 2018
Best course in the data science series. It is practical, so if you are looking for something theoretical this will not be the course for you. Also good introduction the methods for model testing and validation.
par German R M S
•Nov 14, 2018
Este es un muy buen curso, aprendes lo básico para poder entrar en el mundo del machine learning y te da la oportunidad de desarrollar modelos realmente útiles.
Recomendado, definitivamente.
