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Avis et commentaires pour d'étudiants pour Apprentissage mechanique pratique par Université Johns-Hopkins
3,215 évaluations
À propos du cours
One of the most common tasks performed by data scientists and data analysts are prediction and machine learning. This course will cover the basic components of building and applying prediction functions with an emphasis on practical applications. The course will provide basic grounding in concepts such as training and tests sets, overfitting, and error rates. The course will also introduce a range of model based and algorithmic machine learning methods including regression, classification trees, Naive Bayes, and random forests. The course will cover the complete process of building prediction functions including data collection, feature creation, algorithms, and evaluation.
Meilleurs avis
JC
16 janv. 2017
excellent course. Be prepared to learn a lot if you work hard and don't give up if you think it is hard, just continue thinking, and interact with other students and tutors + Google and Stackoverflow!
MR
13 août 2020
recommended for all the 21st centuary students who might be intrested to play with data in future or some kind of work related to make predictions systemically must have good knowledge of this course
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601 - 610 sur 610 Avis pour Apprentissage mechanique pratique
par Jo S
•4 févr. 2016
par Robert O
•6 avr. 2016
par E B
•1 mars 2016
par Eduardo S B
•26 janv. 2020
par Abhilash R N
•4 déc. 2019
par Yesica B
•29 déc. 2021
par Emily S A
•25 mai 2020
par yi s
•19 juil. 2016
par Stephen E
•27 juin 2016
par Stephane T
•31 janv. 2016
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