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.
創建者 Antony C
•Apr 05, 2018
I enjoyed learning theory and technical knowledge and tools used within ML.
創建者 AGARAOLI A
•Feb 10, 2017
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創建者 Masahiro H
•Jan 21, 2017
well structured, fits well to beginners!
創建者 Gabriel T
•Feb 03, 2018
The course was great. Lost of great content, pedagogically sound! I leaned a whole lot
創建者 NFOTABONG F Q
•Jun 14, 2017
Good course.It would be really completed if we go on in details of different analysis algorithms
創建者 vishal c
•Sep 12, 2017
This is a good course to understand how we can apply basic ML algorithm like classification, clustering using KNIME and Spark ML on very high level.
創建者 Muhammad T
•Jul 17, 2017
it great course and it help me a lot to understand Machine Learning.
創建者 Sergio A
•Dec 26, 2016
excellent! best place to begin with Big Data and ML!
創建者 SAURAV P
•Nov 07, 2016
insightful
創建者 Fernando B M
•Oct 10, 2017
Very interesting. KNIME is an exciting tool!
創建者 Nicolas I
•Feb 11, 2017
I think its a good introductory course, but lacking in exercises.
創建者 MIMURA S
•Jan 07, 2017
Easy to follow. Good resource to understand the basic concept of big data.
創建者 Roman J
•Dec 01, 2016
Have to make sure that code provided are fine and without problem... also, better instructions on how to go about the tool needed to use. Remember, we are learning and the amount of tools in Big Data ecosystem is vast...
創建者 Dushyant
•Sep 07, 2017
Hands n exercises and corresponding quizzes are great !Content could be more detailed, but may be I felt it so given my past exposure to ML. I enjoyed learning Knime and Spark.
創建者 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.
創建者 Ahmed O
•Oct 21, 2017
very good introduction to the topic. I enjoyed the hands on exercises but wanted more explanations and may be more reading/exercise and in depth to pyspark. Overall I would recommend this course for anyone like me just starting to scratch the surface on chine learning.
創建者 Juan J R M
•Jun 27, 2017
It's necessary to get in some themes deeper to understand more
創建者 Kairsten F
•Dec 06, 2016
This was a good introductory class to machine learning, but I wish it had more depth.
創建者 SUNITHA N
•Dec 04, 2017
The precise definitions for many commonly used terms were very helpful. You do not find these details in many books or documents. Also, using KNIME was also interesting
創建者 Silvia C R S
•Nov 18, 2017
Very practical and interesting course! Ideal for people who does not have previous knowledge in Machine Learning.
創建者 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.
創建者 Matteo B
•Apr 05, 2018
This course gives a good overview of the main machine learning techniques to analyze data using either spark or a GUI tool (KNIME).
創建者 Ashish A
•Oct 04, 2017
Good coverage of concepts and hand's on. More Hands-on can be included.
創建者 Jose F Z R
•Jan 20, 2017
Good overview of tools specially Spark. The last demo handson with Spark clustering had too much content to be covered in 11 minutes. The presenter does not give any details on many functions he was using. Felt like copy paste coding. The rest was good, specially the lecturer compared to the lecturers of the other courses of the specialisation.
創建者 Jamal A
•May 10, 2017
Great overview about the machine learning in general. There are still lots not covered specially the Neural Network algorithms. Learning Spark MLlib was great advantage of this course.