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

4.6
stars
2,441 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

JG

Oct 24, 2020

Excellent course. It teaches the basics with a great method and with practical exercises, involving real data. The sctructure is clear and it covers a good amount of topics. Well done San Diego!

PT

Jan 8, 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.

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451 - 475 of 494 Reviews for Machine Learning With Big Data

By SEBASTIAN C L

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Jul 12, 2020

Un curso introductorio a las técnicas de machine learning. Los ejercicios en Knime permiten entender el paso a paso de un proyecto de ML, mientras que los ejercicios en Python son prácticamente replicar el código ofrecido y no agrega valor a menos que conozcas muy bien este lenguaje de programación

By Beate S

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Nov 16, 2017

I liked the theory parts, but had a to of problems with the hands on exercises: I spent a tremendous amount of time on installing/trying to install the necessary software. And not everything worked properly on my Mac Laptop.

By Javier P C

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Feb 19, 2020

I like this course, but is very old and doesn't have methods for programming like python or other. Please check the content and upgrade the software, for me, it doesn't work Cloudera VM and is very sad. More Quality.

By Joren Z

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Aug 28, 2017

A bird's-eye-overview introduction of the field. It teaches you some terms and it gives you ideas about which fields might be interesting for you if you want to really learn how to do machine learning with big data.

By Victor J O O

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May 9, 2020

The course start excellent talking about categorical predictions but I would like see a similar explanation for regression or numeric predictions. However, the course offer an excellent quality.

By Santiago C F

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Oct 5, 2020

The course tries to cover too many areas of Machine Learning, which ends up reducing the amount of time per topic, as well as the information you'll get to see.

By Anil B

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Jan 21, 2019

It would have been better if more case studies to work were given. I am surprised that there is no working case study given for regression analysis.

By Thorsten S

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Jan 13, 2021

The course as such is not too bad ... BUT it's nearly impossible to do the hands-on exercises as Cloudera doesn't support virtual machines anymore.

By Mohan R S

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May 30, 2020

The descriptive topics were The Handson exercise could be more elaborative. Many of the commands are just written but not explained.

By Alberto T

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Jun 14, 2017

many basic of machine learning but not so specific to big data, only hands-on with pyspark is big-data related

By HILLEL D

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Jun 21, 2020

Topics covered are good.

Outdated.

Hands-on needs to be updated. Exisitng set of 5th week contains error

By JAIDER M F T

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May 12, 2020

El curso es introductorio no ahonda en los temas, me hubiese gustado que hubiese mostrado mas temas.

By Agne B

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Oct 5, 2023

The theory is great, but hands on exercises are expected to be performed on outdated applications.

By Miguel T

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Aug 17, 2018

I miss some technical information about machine learning techniques such as neural networks.

By Luis A

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May 14, 2020

Very basic in terms of statistical techniques but liked the use of big data tools

By Akash R

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Jun 6, 2020

this is more about ml classes, very less practical, only theoretical........

By Juan S H C

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May 3, 2020

The Cloudera must to be checked. Too many errors in the Hands-On exercices

By PRERNA S

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Mar 15, 2018

It was a basic course for initial understanding about Machine learning.

By Giorgi B

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Sep 13, 2020

Very basic, and if you know machine learning only good for using knime

By Francisco J H A

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Dec 24, 2019

The last week in my point of view is not linked to machine learning.

By Atharva J

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Sep 21, 2020

Low volume for lecture videos, System setup is long and tedious .

By Carlos A

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Apr 25, 2020

We dont see how to use things like hadoop map reduce or clustering

By Rahul P

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Aug 2, 2019

The Hands-On exercises were good. The theory part was too shallow.

By Kartik K

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Nov 23, 2018

The course should cover more topics about Machine Learning.

By Ivan S

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Mar 1, 2017

Very basic things... Any examples for regression.