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.
Sep 01, 2018
Amazing training on ML for people starting their first experiences with the topic. Practical and easy to understand examples that can be further extended by the student.
par Ramya S•
Mar 03, 2018
The entire coursework is very well explained and organized such that we will get better understanding of the terms related to this field. Hands-on exercises have also given better insight of how to use those tools. I would suggest to take this course for getting a brief knowledge about Machine Learning and Big Data.
par Thomas H•
Nov 27, 2016
Good overview of working with SPARK and KNIME - acceptable little theoretical background for all the presented concepts for the sake of application use.
par Juan J R M•
Jun 27, 2017
It's necessary to get in some themes deeper to understand more
par Vincent R•
May 05, 2018
The course was ver
par Irfan S•
Nov 25, 2017
Good course for new comers. Regression and Clustering concepts were explained in very high level and need some in depth.
par Teresa S•
Jan 30, 2018
Very interesting course that will help us to understand how machine learning course works and also to analyze data.
par Kesanakurthi N•
Sep 09, 2018
very good topic learnt from you
Aug 27, 2018
I lack to have more examples of a complete solution, applying all the concepts in a generic problem.
par Harsh O•
Aug 11, 2018
The course was really informative .I got new things to learn.
par Jürgen B•
Oct 31, 2018
Reasonable overview. The VM environment is a major challenge for my hardware. Takes more time to make it work than it should. I am wondering if a cloud solution e.g. GCP would be better.
par Gustavo I M•
Jul 03, 2019
Good, would be better if was in portuguese. and sometime is very painful configure the machine. But is a good course, better than the previus 3
par Laurent C S•
Jul 06, 2019
great course, all examples with Spark and Knime were working for me
par Siva P R•
Aug 23, 2019
Good one !!
par HUBER H M•
Sep 20, 2019
Thas good course for learn the machine learning and big data
par Verónica Y G Z•
Sep 20, 2019
Esta Bien, :)
par Jose R Z•
Sep 03, 2019
The concepts in the course are very good but very basics in machine learning, it's a good introduction to knime and spark
par Sun W•
Sep 24, 2019
Generally its good content. However the VM setup is still horrible. Many time wasted on debugging and set up environment.
par Jae Y S•
Oct 25, 2019
it was very useful for me to get knowledge about Machine Learning with somehow details and reminded me wh
Oct 30, 2019
It was brief and comprehensive , Got to learn various technologies like Knime and Spark
par Anil B•
Jan 21, 2019
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.
par 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
par Alberto T•
Jun 14, 2017
many basic of machine learning but not so specific to big data, only hands-on with pyspark is big-data related
par Palash V S•
Jan 27, 2018
Not hard, a very beginner-level course.
par Francisco P J•
Aug 02, 2017
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.
par 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.