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Opiniones y comentarios de aprendices correspondientes a Machine Learning With Big Data por parte de Universidad de California en San Diego

4.6
1,388 calificaciones
263 revisiones

Acerca del Curso

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...

Principales revisiones

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.

RC

Sep 01, 2018

Amazing training on ML for people starting their first experiences with the topic. Practical and easy to understand examples that can be further extended by the student.

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151 - 175 de 244 revisiones para Machine Learning With Big Data

por Armando P

Sep 06, 2019

Very well thought out and just enough content to intrigue the learner to continue digging.

por Juan D P

Sep 08, 2019

Awesome course.

por LOKESH R

Oct 05, 2019

Very good

por Somnath P

Oct 03, 2019

It was a really nice experience to learn on the Machine Learning Platform.

Cleared on Data Exploration, Classification, Regression and much more.

Hands-on exercises are very much interesting. Training Videos are nice and very well explained by the instructor with a good number of examples.

Happy Machine Learning!

por Amin O

Oct 07, 2019

Awesome!!

It would be great if more hands-on (specially spark) will be added.

por MINKI A

Oct 07, 2019

Excellent course, I highly recommend

por Víctor R T C

Oct 07, 2019

Excelente curso

por William J C

Sep 25, 2019

Excellent course!!!!

I learned a lot. The course structure, topics, explanations and activities were very precise. Thanks to the tutors.

por Suraj J W

Sep 24, 2019

Thanks for craeting such nice course and helping other to learn new technology

por SANJU M

Oct 15, 2019

Excellent

por MARTIN C

Oct 15, 2019

Excellent Course. I would consider changing Spark for other similar to knime

por Doppalapudi P V S

Oct 25, 2019

Ease of learning and visually attractive.

por Ayush A

Nov 12, 2019

Good course to have a first hand and concise knowledge about various machine learning algorithms

por Juan C C C

Nov 12, 2019

Clearly explained course with practical hands-on and insightful concepts.

por To P H

Jan 31, 2019

I want more hands on in Spark

por Siddharth S

Mar 27, 2019

nice introductory course

por Saravanan

Mar 28, 2019

Good

por John C

Dec 09, 2018

Interesting material. Ran into several issues with the hands on that could have been avoided. Loved learning more about Neo4J. The section on Spark needed more time and additional descriptions.

por Carlos S d l C

Apr 02, 2019

Good course

por Chaitanya J

Apr 09, 2019

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

por SAURAV P

Nov 07, 2016

insightful

por Fernando B M

Oct 10, 2017

Very interesting. KNIME is an exciting tool!

por Nicolas I

Feb 11, 2017

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

por MIMURA S

Jan 07, 2017

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

por Roman J

Dec 01, 2016

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...