Chevron Left
Volver a Machine Learning With Big Data

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

4.6
1,426 calificaciones
268 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.

Filtrar por:

151 - 175 de 249 revisiones para Machine Learning With Big Data

por Steven Z

Nov 26, 2017

Very informative and well presented course. Thank you!

por Hardik V U

Oct 27, 2018

Nice Course for revising concepts on Machine Learning and adding a nice flavour of Big Data on it.

por Sinchan B

Jul 26, 2018

Excellent Course.. Very helpful . Learned a lot and excercize and quizzes really helped to clear concepts more.

por Raunak S

Apr 21, 2018

nice course for those who desire to gain a basic level knowledge of machine learning and its implementation in the field of big data.

por David d

Mar 31, 2018

I would have like to seen how to compare models using KNIME. For example the hands on could have explored a number of classification models and then simplified this KNIME youtube video to demonstrate how to select the best model using ROC

por Jian S

Apr 16, 2017

This is the best course of this specialization. Dr. Nguyen describes and teaches the contents of machine learning with clarity and digested knowledge.

I would suggest to add more in-depth contents to each of the machine learning category, especially clustering, classification and association, at least as optional contents in case the number of weeks allocated for course are restricted.

por Michel R

Nov 15, 2017

Perfect introduction.

por Lukáš B

Jan 12, 2018

The most interesting course of all specialization. What is missing is deeper insight.

por Víctor V B

Dec 03, 2016

excellent!!

por Edward F

Jul 09, 2018

another great hands-on course using applications Knime and Spark. I learned quite a bit and expanded my career horizons. Thanks!

por Shimon A

Feb 02, 2019

Excellent course. The teacher is extremely good!

por Renato A G

Aug 15, 2017

Amazing course, introduce the basic concepts.

por Tandy S

Dec 01, 2017

Very good start to learn Machine Learning

por Amit M

Dec 05, 2019

Extremely good. Lot of learning and course is very well designed and simple to understand. Thanks a lot for such courses.

por Alexandre V

Apr 06, 2018

A very interesting course that is directly applicable.

por Juan C H

Jun 11, 2017

All the topics were explained with a lot of detail. Enjoyed and Learned a lot!!

por Gaurav S

Dec 29, 2017

A quite knowledge-full course for the beginners. Enough of practical guidance on ML with Apache Spark and KNIME

por Ivan M H C

Sep 15, 2019

Excellent course.

por To P H

Jan 31, 2019

I want more hands on in Spark

por Raul

Aug 27, 2018

105/5000

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

por Kesanakurthi N

Sep 09, 2018

very good topic learnt from you

por Jürgen B

Oct 31, 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.

por Federico S

Mar 02, 2018

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

por Antony C

Apr 05, 2018

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

por AGARAOLI A

Feb 10, 2017

-