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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
estrellas
1,532 calificaciones
300 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.

BK

Mar 06, 2020

This is starting course for Machine Learning. Very well explained and after finishing this course, one will get interest in continuing and exploring further in Machine Learning field.

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201 - 225 de 284 revisiones para Machine Learning With Big Data

por Jamal A

May 10, 2017

Great overview about the machine learning in general. There are still lots not covered specially the Neural Network algorithms. Learning Spark MLlib was great advantage of this course.

por Tariq A

Dec 27, 2019

The fact that the assignments are graded means that there’s incentive to work on them, solve problems, and ask questions. Traditional online courses don’t offer that incentive.

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 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

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 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 Gustavo I M

Jul 03, 2019

Good, would be better if was in portuguese. and sometime is very painful configure the machine. But is a good course, better than the previus 3

por Miguel A R B

Jan 12, 2020

There was a good explanation of concepts, but I think it was possible to include more themes or empathize more in other techniques.

por Matteo B

Apr 05, 2018

This course gives a good overview of the main machine learning techniques to analyze data using either spark or a GUI tool (KNIME).

por Sun W

Sep 24, 2019

Generally its good content. However the VM setup is still horrible. Many time wasted on debugging and set up environment.

por Jose R Z

Sep 03, 2019

The concepts in the course are very good but very basics in machine learning, it's a good introduction to knime and spark

por Irfan S

Nov 25, 2017

Good course for new comers. Regression and Clustering concepts were explained in very high level and need some in depth.

por Teresa S

Jan 30, 2018

Very interesting course that will help us to understand how machine learning course works and also to analyze data.

por Silvia C R S

Nov 18, 2017

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

por Hugo d J M Y

Feb 13, 2017

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

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 Dev A S

Jan 20, 2020

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

por 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

por Federico S

Mar 02, 2018

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

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 David P G

Dec 06, 2019

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

por Harshith

Oct 30, 2019

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

por Ripunjay K

Jan 24, 2020

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

por Gabriel T

Feb 03, 2018

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

por Kairsten F

Dec 06, 2016

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