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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
1,302 calificaciones
244 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 225 revisiones para Machine Learning With Big Data

por To P H

Jan 31, 2019

I want more hands on in Spark

por Harsh O

Aug 11, 2018

The course was really informative .I got new things to learn.

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

-

por Masahiro H

Jan 21, 2017

well structured, fits well to beginners!

por Gabriel T

Feb 03, 2018

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

por NFOTABONG F Q

Jun 14, 2017

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

por vishal c

Sep 12, 2017

This is a good course to understand how we can apply basic ML algorithm like classification, clustering using KNIME and Spark ML on very high level.

por Muhammad T

Jul 17, 2017

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

por Sergio A

Dec 26, 2016

excellent! best place to begin with Big Data and ML!

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...

por Dushyant

Sep 07, 2017

Hands n exercises and corresponding quizzes are great !Content could be more detailed, but may be I felt it so given my past exposure to ML. I enjoyed learning Knime and Spark.

por Thomas H

Nov 27, 2016

Good overview of working with SPARK and KNIME - acceptable little theoretical background for all the presented concepts for the sake of application use.

por Ahmed O

Oct 21, 2017

very good introduction to the topic. I enjoyed the hands on exercises but wanted more explanations and may be more reading/exercise and in depth to pyspark. Overall I would recommend this course for anyone like me just starting to scratch the surface on chine learning.

por Juan J R M

Jun 27, 2017

It's necessary to get in some themes deeper to understand more

por Kairsten F

Dec 06, 2016

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

por SUNITHA N

Dec 04, 2017

The precise definitions for many commonly used terms were very helpful. You do not find these details in many books or documents. Also, using KNIME was also interesting