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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
1,426 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.

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176 - 200 de 249 revisiones para Machine Learning With Big Data

por Nicolas I

Feb 11, 2017

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

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 SAURAV P

Nov 07, 2016

insightful

por Masahiro H

Jan 21, 2017

well structured, fits well to beginners!

por Fernando B M

Oct 10, 2017

Very interesting. KNIME is an exciting tool!

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 Federico S

Mar 02, 2018

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

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 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 Ramya S

Mar 03, 2018

The entire coursework is very well explained and organized such that we will get better understanding of the terms related to this field. Hands-on exercises have also given better insight of how to use those tools. I would suggest to take this course for getting a brief knowledge about Machine Learning and Big Data.

por Juan J R M

Jun 27, 2017

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

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 Kesanakurthi N

Sep 09, 2018

very good topic learnt from you

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 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 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 Ashish A

Oct 04, 2017

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

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 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 Praveen k N

May 05, 2017

good

por Stefan S

Nov 07, 2017

Easy understandable introduction to Machine Learning