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Machine Learning With Big Data, Université de Californie à San Diego

1,173 notes
220 avis

À propos de ce cours

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...

Meilleurs avis

par 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.

par 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.

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201 avis

par Ganga Holi

Apr 20, 2019

Very nice course and good instructors

par Chaitanya Jain

Apr 09, 2019

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

par Carlos Soriano de la Cruz

Apr 02, 2019

Good course

par Saravanan

Mar 28, 2019


par Siddharth Shailendra

Mar 27, 2019

nice introductory course

par Apurva TR

Mar 23, 2019

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

par selvaraj

Mar 21, 2019



Mar 20, 2019

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

par Marc-André Sauvé

Mar 17, 2019

Clear, efficient, not exhaustive but very complete.

par Luis Alberto Ramirez

Mar 14, 2019

Excelent materials.