캘리포니아 샌디에고 대학교의 Machine Learning With Big Data 학습자 리뷰 및 피드백
강좌 소개
최상위 리뷰
PR
Jul 19, 2018
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.
BK
Mar 06, 2020
This is starting course for Machine Learning. Very well explained and after finishing this course, one will get interest in continuing and exploring further in Machine Learning field.
Machine Learning With Big Data의 390개 리뷰 중 51~75
교육 기관: Mahamat N A M
•Jan 30, 2019
The courses was really easy to understand and useful for anyone who want to get insight about big data with machine learning.
교육 기관: Chandrakanth B
•Dec 06, 2019
Wonder full information i could able to learn, in this module it has been shown how ML is helps or used in to Big data area.
교육 기관: William B
•Apr 08, 2018
Really well delivered. Very good presentations and the hands-on labs did a good job of reinforcing the presented material.
교육 기관: Amit M
•Dec 05, 2019
Extremely good. Lot of learning and course is very well designed and simple to understand. Thanks a lot for such courses.
교육 기관: vrunda k
•Aug 02, 2020
It was an excellent course for beginners. The Lectures were very good. Lot of learning happened. Content was wonderful.
교육 기관: Ahmed R
•Feb 17, 2020
I will surely recommend to others about this course. This built my basic pillars of Machine Learning.
Thanks Coursera.
교육 기관: Thomas M
•Aug 14, 2018
This is a very good introductory course that benefits from excellent teaching and materials. It is highly recommended.
교육 기관: Pedro E R J
•May 10, 2020
It was a great course. Best course ever participated in coursera. I'm so glad to have been part of it, thank you all!
교육 기관: Daniela V O
•Mar 10, 2018
Excelente course, I will continue learning and practicing all the concepts that explained in this course. Thank you!!
교육 기관: Aakarsh G
•May 22, 2017
One of the best courses in the series with a good mix of theory and hand-on exercise on ML implementation in big data
교육 기관: Markus.schwarz.de@gmail.com
•Mar 20, 2019
Fantastic course and for users new to Spark an amazing hands-on introduction providing actual programming experience
교육 기관: Achmad Z
•Jun 06, 2020
Great course in introduction to applying machine learning technique in BigData environment, especially using Spark.
교육 기관: Guilherme D C T
•May 26, 2019
So far, the most enjoyable course of the specialization. The lectures were engaging and very application oriented.
교육 기관: Sunil B
•Mar 10, 2018
Great course - would recommend further details towards the end of course lectures..more explanation on the graphs.
교육 기관: Sayed T S
•Jun 30, 2017
Great thanks to every one .
It was a good time and fantastic learning.
Best Place to learn and Study with easy way .
교육 기관: Julio D
•Apr 24, 2018
Great course. The instructor is extraordinarily clear in her presentation and the material is very well organized
교육 기관: Rashmi U
•Dec 12, 2016
Both the professors are great , the videos helped alot in understanding lot of core concepts in machine learning.
교육 기관: Alper T
•Jul 23, 2017
Nice overview, I enjoyed the whole content. It is very basic for ML specialists but definitely a good overview.
교육 기관: Sinchan B
•Jul 26, 2018
Excellent Course.. Very helpful . Learned a lot and excercize and quizzes really helped to clear concepts more.
교육 기관: Gaurav S
•Dec 29, 2017
A quite knowledge-full course for the beginners. Enough of practical guidance on ML with Apache Spark and KNIME
교육 기관: Adam C
•May 03, 2020
Very powerful because it mixes the most relevant concepts of Machine Learning with BigData tools of great boom
교육 기관: Jamiil T A
•Oct 22, 2018
Awesome!!! it's a very hands-on driven course with so much concepts to takeaway and expand on... I loved it...
교육 기관: Nishant G
•Jul 02, 2020
The course gives brief explanation of each of the machine learning aspects used widely for problem solving.
교육 기관: Juan H B S
•Mar 29, 2018
Loved the contents and the explanation for using the different tools motivated me to use them more outside!
교육 기관: James A
•Dec 10, 2017
I will continue with this on my own. Started a lot of great discussions with a broad variety of approaches
