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Avis et commentaires pour l'étudiant pour Machine Learning With Big Data par Université de Californie à San Diego

4.6
1,386 notes
263 avis

À propos du cours

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...

Meilleurs avis

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 sur 244 Examens pour Machine Learning With Big Data

par 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.

par Federico S

Mar 02, 2018

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

par Antony C

Apr 05, 2018

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

par AGARAOLI A

Feb 10, 2017

-

par Masahiro H

Jan 21, 2017

well structured, fits well to beginners!

par Gabriel T

Feb 03, 2018

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

par NFOTABONG F Q

Jun 14, 2017

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

par 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.

par Muhammad T

Jul 17, 2017

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

par Sergio A

Dec 26, 2016

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

par 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 )

par Praveen k N

May 05, 2017

good

par Stefan S

Nov 07, 2017

Easy understandable introduction to Machine Learning

par Tu L

May 20, 2018

Too Basic

par 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).

par Kairsten F

Dec 06, 2016

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

par Ashish A

Oct 04, 2017

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

par Jose F Z R

Jan 20, 2017

Good overview of tools specially Spark. The last demo handson with Spark clustering had too much content to be covered in 11 minutes. The presenter does not give any details on many functions he was using. Felt like copy paste coding. The rest was good, specially the lecturer compared to the lecturers of the other courses of the specialisation.

par 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.

par 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.

par 吴武辉

Oct 14, 2017

The hands-on exercises were a little bit too easy.

par Mehul P

Dec 31, 2017

Nice overview to get into it.

par Tejasri C

Nov 23, 2017

great learning

par 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

par Silvia C R S

Nov 18, 2017

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