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學生對 加州大学圣地亚哥分校 提供的 基于大数据的机器学习 的評價和反饋

4.6
1,421 個評分
268 個審閱

課程概述

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...

熱門審閱

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 - 基于大数据的机器学习 的 200 個評論(共 249 個)

創建者 Fernando B M

Oct 10, 2017

Very interesting. KNIME is an exciting tool!

創建者 Nicolas I

Feb 11, 2017

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

創建者 MIMURA S

Jan 07, 2017

Easy to follow. Good resource to understand the basic concept of big data.

創建者 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...

創建者 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.

創建者 Federico S

Mar 02, 2018

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

創建者 Antony C

Apr 05, 2018

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

創建者 AGARAOLI A

Feb 10, 2017

-

創建者 Masahiro H

Jan 21, 2017

well structured, fits well to beginners!

創建者 Gabriel T

Feb 03, 2018

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

創建者 NFOTABONG F Q

Jun 14, 2017

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

創建者 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.

創建者 Muhammad T

Jul 17, 2017

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

創建者 Sergio A

Dec 26, 2016

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

創建者 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 )

創建者 Praveen k N

May 05, 2017

good

創建者 Stefan S

Nov 07, 2017

Easy understandable introduction to Machine Learning

創建者 Tu L

May 20, 2018

Too Basic

創建者 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).

創建者 Kairsten F

Dec 06, 2016

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

創建者 Ashish A

Oct 04, 2017

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

創建者 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.

創建者 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.

創建者 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.

創建者 吴武辉

Oct 14, 2017

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