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Avis et commentaires pour l'étudiant pour Apprentissage mechanique pratique par Université Johns-Hopkins

4.5
2,679 notes
501 avis

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

Jan 17, 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!

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.

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151 - 175 sur 493 Examens pour Apprentissage mechanique pratique

par Prohnițchi V

Dec 31, 2017

Great course. A lot of extremely useful stuff.

par Fábio A C

Dec 25, 2016

The best

par GERALDO A

May 31, 2018

This is a excelente course like all the others.

par George O O

May 08, 2018

Great!

par Jose A R N

Dec 08, 2016

My name is Jose Antonio. I am looking for a new Data Scientist career ( https://www.linkedin.com/in/joseantonio11)

I did this course to get new knowledge about Data Science and better understand the technology and your practical applications.

The course was excellent and the classes well taught by the Teachers.

Congratulations to Coursera team and Teachers.

par Moises E

Jan 16, 2017

Very good overview and straightforward explanations of the different methodologies of ML. Nice tips on how to do ML with R.

par Jared P

Jun 25, 2017

Awesome course. Would recommend it, but only to those who have a bit of stats and R background. This definitely helped me get a solid enough understanding of using R for machine learning.

par Rachit K

Sep 16, 2017

The course gets you deep into ML very quickly ...but I think that's enough to get someone introduced to machine learning. The recommended book a great accompaniment

par E. M

May 31, 2016

Fantastic class!

par Johan J

Nov 21, 2016

Awesome

par Kristin A

Jan 09, 2018

Good intro to a topic that has a lot of power and a rich body of knowledge behind it. You can only scratch the surface in a four-week course, but I have been exposed to quite a range of tools in Practical Machine Learning.

par Diana S

Feb 11, 2016

Thank you son much!!!!

I really like the course.

It help me in my job =)

par Saul L

Feb 08, 2016

This is by far the most enlightening class in the whole specialization. I really got a good handle about how to build a predictive model and apply it to real datasets.

par Rodney A J

Jul 30, 2017

This was a great course.

par Francisco J D d S F G

Nov 27, 2016

The best course of the specialization along with the statistical inference one - the final assignment is very fun to do, pretty much like a Kaggle competition.

par Jose R C

Aug 16, 2016

The machine learning course every Data Scientist should do.

par Chris N

Jun 07, 2017

loved it - fascinating subject and more detail than you could possibly want from the course instructors. Friendly community in the forum too.

par hyunwoo j

Apr 10, 2016

johns hopkins' courses very helped me

par Jitender K

Jun 03, 2016

A very good course.

par Massimo M

Apr 21, 2018

Very interesting course, materials are explained in an engaging manner. I would have loved to have a few more exercises to practice, but overall a good course to understand the most important concepts of ML.

par Aleksander Z

Dec 23, 2017

Good solid intro to the concepts of machine learning.

par Pouria T

Jul 02, 2017

Great course, thank you. I was able to use what I have learned from the previous 7 courses and see them on in action through this course. Thank you :)

par Warren B

Feb 18, 2017

Really enlightening! It has short videos that fully explicate and explain the concepts and also give you code you can use! The code actually works! I would prefer that the instructor get a proper microphone so his voice sounds not so harsh, but this can be forgiven, because the content really is awesome!

You can also download all the lectures (and there are transcripts, too), which is great for later reference.

Try it - you will like it!

par Nicholas A

Mar 30, 2018

This was my favorite class of the specialization. It was taught very well, and I felt like everything I learned in the previous classes were finally coming together.

par Anil G

May 13, 2018

excellent cour