Chevron Left
Back to Machine Learning With Big Data

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.

Filter by:

376 - 400 of 494 Reviews for Machine Learning With Big Data

By Silvia C R S

•

Nov 18, 2017

Very practical and interesting course! Ideal for people who does not have previous knowledge in Machine Learning.

By Hugo d J M Y

•

Feb 12, 2017

not enough work in the other machine learning models (the course centered the main part of it to classification )

By Raul

•

Aug 26, 2018

105/5000

I lack to have more examples of a complete solution, applying all the concepts in a generic problem.

By Dev A S

•

Jan 19, 2020

The instructor is explaining well. But still in some weeks there is a gap between the Hands on and theories

By Jae Y S

•

Oct 25, 2019

it was very useful for me to get knowledge about Machine Learning with somehow details and reminded me wh

By alvaro a

•

Oct 25, 2020

El curso es bueno, falta mayor soporte por parte de los tutores para la resolución de problemas .

By Federico S

•

Mar 2, 2018

It fullfilled my expectations, and created the motivation to further increase my knowledge of ML

By NFOTABONG F Q

•

Jun 14, 2017

Good course.It would be really completed if we go on in details of different analysis algorithms

By David P G

•

Dec 6, 2019

The didactic qualities of the lecturer greatly compensate the lack of support and maintenance.

By Andrés A H G

•

Jun 22, 2020

Good but too much theory without practicing at the same time. It gets boring sometimes.

By Harshith

•

Oct 30, 2019

It was brief and comprehensive , Got to learn various technologies like Knime and Spark

By Ripunjay K

•

Jan 24, 2020

Needed more clear instructions in each module else a very good course to understand ML

By Gabriel T

•

Feb 3, 2018

The course was great. Lost of great content, pedagogically sound! I leaned a whole lot

By Kairsten F

•

Dec 5, 2016

This was a good introductory class to machine learning, but I wish it had more depth.

By Gokul K

•

Aug 5, 2020

Mentors please reply in the discussion forums so that we can clear our doubts

By Jumled L

•

Feb 19, 2021

Buen curso para iniciar el entrenamiento en logaritmos de machine learning.

By Antony C

•

Apr 5, 2018

I enjoyed learning theory and technical knowledge and tools used within ML.

By Shunichiro M

•

Jan 7, 2017

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

By Jin L

•

Aug 9, 2021

Great course but hard to hear from the instructors with questions raised.

By John F P

•

Sep 5, 2020

Buen curso, un poco más de análisis en los ejercicios. Pero buen curso.

By Ashish K A

•

Oct 4, 2017

Good coverage of concepts and hand's on. More Hands-on can be included.

By Muhammad T

•

Jul 17, 2017

it great course and it help me a lot to understand Machine Learning.

By Laurent C S

•

Jul 6, 2019

great course, all examples with Spark and Knime were working for me

By Chaitanya J

•

Apr 9, 2019

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

By Nicolas I

•

Feb 11, 2017

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