I enjoyed learning theory and technical knowledge and tools used within ML.

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well structured, fits well to beginners!

The course was great. Lost of great content, pedagogically sound! I leaned a whole lot

Good course.It would be really completed if we go on in details of different analysis algorithms

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.

it great course and it help me a lot to understand Machine Learning.

excellent! best place to begin with Big Data and ML!

insightful

Very interesting. KNIME is an exciting tool!

I think its a good introductory course, but lacking in exercises.

Easy to follow. Good resource to understand the basic concept of big data.

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...

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.

Good overview of working with SPARK and KNIME - acceptable little theoretical background for all the presented concepts for the sake of application use.

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.

It's necessary to get in some themes deeper to understand more

This was a good introductory class to machine learning, but I wish it had more depth.

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

Very practical and interesting course! Ideal for people who does not have previous knowledge in Machine Learning.

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.

This course gives a good overview of the main machine learning techniques to analyze data using either spark or a GUI tool (KNIME).

Good coverage of concepts and hand's on. More Hands-on can be included.

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.

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.