캘리포니아 샌디에고 대학교의 Machine Learning With Big Data 학습자 리뷰 및 피드백
강좌 소개
최상위 리뷰
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.
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 416개 리뷰 중 351~375
교육 기관: Manav G
•May 10, 2020
More hands on session needed!
교육 기관: Yomin E J M
•Jan 25, 2020
congratulations, it's amazing
교육 기관: To P H
•Jan 31, 2019
I want more hands on in Spark
교육 기관: Mehul P
•Dec 31, 2017
Nice overview to get into it.
교육 기관: Siddharth S
•Mar 27, 2019
nice introductory course
교육 기관: ALVARO V M
•Mar 16, 2020
Muy bien explicado
교육 기관: Vincent R
•May 05, 2018
The course was ver
교육 기관: Gary T
•Mar 23, 2020
Good introduction
교육 기관: Juan J R
•Apr 20, 2020
Excellent Course
교육 기관: Tejasri C
•Nov 23, 2017
great learning
교육 기관: Verónica Y G Z
•Sep 20, 2019
Esta Bien, :)
교육 기관: 19E15A0509 M
•Jul 10, 2020
goog cource
교육 기관: Siva P R
•Aug 23, 2019
Good one !!
교육 기관: Carlos S d l C
•Apr 02, 2019
Good course
교육 기관: SAURAV P
•Nov 07, 2016
insightful
교육 기관: Tu L
•May 20, 2018
Too Basic
교육 기관: Hien b L
•Jul 19, 2020
GOOD
교육 기관: Bodempudi N
•May 23, 2020
good
교육 기관: SHREYAS J C
•May 18, 2020
Nope
교육 기관: SELMI A
•Apr 14, 2020
good
교육 기관: Saravanan
•Mar 28, 2019
Good
교육 기관: Praveen k N
•May 05, 2017
good
교육 기관: AGARAOLI A
•Feb 10, 2017
-
교육 기관: Hendrik B
•Feb 21, 2018
It's better than the other courses of this specialization, but still I wouldn't say that the course is particularly good. Also, the instructors don't appear to care for the learning progress of the learners. There is next to no help via forums, for example. What I think was good is that the instructor attempts to explain the algorithms of the machine learning methods visually and comprehensively.
What I think is a joke is the way the quizzes are organized. The questions almost never deviate from a 'change a number or copy the code' style. Like this, you do not really learn anything instead of copying code and changing something. The quizzes need some additional parts where it is important to apply what is learned to new contexts. ADditionally, the instructors need to put more focus on explaining what certain parts of the code do and why certain parts of the codes are improtant- Otherwise, this course won't be worth more than learning by doing alone.
교육 기관: Riccardo P
•Jun 01, 2018
Not so happy... it would be a little bit better if I attended this one before the ML course by Andrew NG...
Here, the topics are just introduced and poorly demonstrated using Knime and Spark.
Maybe, I had wrong expectations but, given the course title, you need to push more on Spark and leave the ML introduction to better courses like Andrew's one or a dedicated one.
Don't spare too much time with stuff like Course 2 and get some risks
