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Machine Learning With Big Data, カリフォルニア大学サンディエゴ校



Want to make sense of the volumes of data you have collected? Need to incorporate data-driven decisions into your process? This course provides an overview of machine learning techniques to explore, analyze, and leverage data. You will be introduced to tools and algorithms you can use to create machine learning models that learn from data, and to scale those models up to big data problems. At the end of the course, you will be able to: • Design an approach to leverage data using the steps in the machine learning process. • Apply machine learning techniques to explore and prepare data for modeling. • Identify the type of machine learning problem in order to apply the appropriate set of techniques. • Construct models that learn from data using widely available open source tools. • Analyze big data problems using scalable machine learning algorithms on Spark. Software Requirements: Cloudera VM, KNIME, Spark...


by PT

Jan 09, 2017

The course was the best introduction I had for machine learning. Helped me a lot to understand different concepts from people who already know about the subject and I didn't have any idea.

by PR

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.



by Priyanka

Apr 29, 2019


by Ganga Holi

Apr 20, 2019

Very nice course and good instructors

by Chaitanya Jain

Apr 09, 2019

Very good course but not getting course certificate. Please help!

by Carlos Soriano de la Cruz

Apr 02, 2019

Good course

by Saravanan

Mar 28, 2019


by Siddharth Shailendra

Mar 27, 2019

nice introductory course

by Apurva TR

Mar 23, 2019

Very good course. Training very well provided by trainer. Very good examples used.

by selvaraj

Mar 21, 2019



Mar 20, 2019

Fantastic course and for users new to Spark an amazing hands-on introduction providing actual programming experience

by Marc-André Sauvé

Mar 17, 2019

Clear, efficient, not exhaustive but very complete.