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Learner Reviews & Feedback for Machine Learning With Big Data by University of California San Diego

4.6
stars
2,498 ratings

About the Course

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...

Top reviews

NP

Jul 2, 2019

This course provides you starting point to start working in KNIME and helps you in explaining basic statistics concepts along with its application in KNIME and Spark

JB

Oct 30, 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.

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501 - 509 of 509 Reviews for Machine Learning With Big Data

By Alfonso A G

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Dec 3, 2016

Machine learning is too simplified and spark part is not even explained, also very little relation of all course with Big Data.

By LEONARDO R

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Jun 9, 2020

Considero que está algo desactualizado el curso y las herramientas de aprendizaje. Tenía mayor expectativa

By Michal Š

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Nov 18, 2016

Almost a useless course - ML overview using KNIME which gives no insight whatsoever.

By Ruijia W

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Nov 25, 2017

Too basic

By Beatrice C

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Dec 14, 2016

The course content is very poorly explained. The quiz questions don't really test what was taught in the lectures, and the assignments are just copying and pasting things. I feel like I still have a very poor understanding of what was supposedly covered in the course. I cannot generalise or apply the 'learned' information or skills to other topics or researches because I didn't actually understand the core concepts or how to use the programs.

By William R

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Nov 19, 2016

This is another course in UCSD's "Big Data" introductory course. The material is not pertinent to a specialty on big data technologies. Further the course does not increase one's knowledge of Machine Learning in any way that justifies spending the time in the course.

By Tim C

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Sep 3, 2021

The VM software provided is now out of date. The use of a clunky GUI-based tool (KNIME) seems like a waste of time--not likely to be useful in real applications.

By Kamalesh P

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Oct 23, 2019

Regression is least bothered, less hands on

By Martin D

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Oct 16, 2020

cloudera vm doesnt work well