캘리포니아 샌디에고 대학교의 Machine Learning With Big Data 학습자 리뷰 및 피드백
강좌 소개
최상위 리뷰
Excellent course. It teaches the basics with a great method and with practical exercises, involving real data. The sctructure is clear and it covers a good amount of topics. Well done San Diego!
Excellent course, I learned a lot about machine learning with big data, but most importantly I feel ready to take it into more complex level although I realized there is lots to learn.
Machine Learning With Big Data의 464개 리뷰 중 426~450
교육 기관: Joren Z
•A bird's-eye-overview introduction of the field. It teaches you some terms and it gives you ideas about which fields might be interesting for you if you want to really learn how to do machine learning with big data.
교육 기관: Victor J O O
•The course start excellent talking about categorical predictions but I would like see a similar explanation for regression or numeric predictions. However, the course offer an excellent quality.
교육 기관: Santiago C F
•The course tries to cover too many areas of Machine Learning, which ends up reducing the amount of time per topic, as well as the information you'll get to see.
교육 기관: Anil B
•It would have been better if more case studies to work were given. I am surprised that there is no working case study given for regression analysis.
교육 기관: Thorsten S
•The course as such is not too bad ... BUT it's nearly impossible to do the hands-on exercises as Cloudera doesn't support virtual machines anymore.
교육 기관: Mohan R S
•The descriptive topics were The Handson exercise could be more elaborative. Many of the commands are just written but not explained.
교육 기관: Alberto T
•many basic of machine learning but not so specific to big data, only hands-on with pyspark is big-data related
교육 기관: HILLEL D
•Topics covered are good.
Outdated.
Hands-on needs to be updated. Exisitng set of 5th week contains error
교육 기관: JAIDER M F T
•El curso es introductorio no ahonda en los temas, me hubiese gustado que hubiese mostrado mas temas.
교육 기관: Miguel T
•I miss some technical information about machine learning techniques such as neural networks.
교육 기관: Luis A
•Very basic in terms of statistical techniques but liked the use of big data tools
교육 기관: Akash R
•this is more about ml classes, very less practical, only theoretical........
교육 기관: Juan S H C
•The Cloudera must to be checked. Too many errors in the Hands-On exercices
교육 기관: PRERNA S
•It was a basic course for initial understanding about Machine learning.
교육 기관: Giorgi B
•Very basic, and if you know machine learning only good for using knime
교육 기관: Francisco J H A
•The last week in my point of view is not linked to machine learning.
교육 기관: Atharva J
•Low volume for lecture videos, System setup is long and tedious .
교육 기관: Carlos A A C
•We dont see how to use things like hadoop map reduce or clustering
교육 기관: Rahul P
•The Hands-On exercises were good. The theory part was too shallow.
교육 기관: Kartik K
•The course should cover more topics about Machine Learning.
교육 기관: Ivan S
•Very basic things... Any examples for regression.
교육 기관: J. A H P
•It's ok for an extremely high-level overiew
교육 기관: Palash V S
•Not hard, a very beginner-level course.
교육 기관: Artur L
•Nice knowledge refresher
교육 기관: shraddha s
•nice course
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