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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.
401 - 基于大数据的机器学习 的 425 個評論（共 467 個）
創建者 Vincent R
•The course was ver
創建者 Gary T
•Good introduction
創建者 Juan J R R
•Excellent Course
創建者 Tejasri C
•great learning
創建者 Verónica Y G Z
•Esta Bien, :)
創建者 Thomas Y
•Good course.
創建者 Anindya V G
•Good course.
創建者 Syed M A
•goog cource
創建者 siva R
•Good one !!
創建者 Carlos S d l C
•Good course
創建者 SAURAV P
•insightful
創建者 Isco22
•Too Basic
創建者 Rohit K S
•Nice!
創建者 Fabián S Á M
•Good!
創建者 Hien B L
•GOOD
創建者 Bodempudi N
•good
創建者 SHREYAS J C
•Nope
創建者 SELMI A
•good
創建者 Saravanan
•Good
創建者 Praveen k N
•good
創建者 AGARAOLI A
•-
創建者 Hendrik B
•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.
創建者 Riccardo P
•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
創建者 Francisco P J
•Some parts of the course are quite interesting, in concrete, the introduction to the Knime tool (so useful and open source tool which I will try to take a deep look on it as the course only provide a slightly overview). Otherwise, i think that the content is not enough, i don´t feel that I have fully understand the core of Machine Learning and its difference with other BD applications.
創建者 Sarwar A
•I would like to give a three-star rating because of the following reasons:
1.Very Few Exercises
2.No challenging exercise
3.Only discussed Decision tree classifier
4.There are other important machine learning algorithms.
5.Overall I don't like the design of this course. It could have been degined to prepare learners for the industrial job
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