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返回到 基于大数据的机器学习

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
2,305 個評分
486 條評論

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

JG
2020年10月24日

Excellent course. It teaches the basics with a great method and with practical exercises, involving real data. The sctructure is clear and it covers a good amount of topics. Well done San Diego!

PR
2018年7月18日

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.

篩選依據:

426 - 基于大数据的机器学习 的 450 個評論(共 467 個)

創建者 Sebastián C L

2020年7月12日

Un curso introductorio a las técnicas de machine learning. Los ejercicios en Knime permiten entender el paso a paso de un proyecto de ML, mientras que los ejercicios en Python son prácticamente replicar el código ofrecido y no agrega valor a menos que conozcas muy bien este lenguaje de programación

創建者 Beate S

2017年11月16日

I liked the theory parts, but had a to of problems with the hands on exercises: I spent a tremendous amount of time on installing/trying to install the necessary software. And not everything worked properly on my Mac Laptop.

創建者 Javier P C

2020年2月19日

I like this course, but is very old and doesn't have methods for programming like python or other. Please check the content and upgrade the software, for me, it doesn't work Cloudera VM and is very sad. More Quality.

創建者 Joren Z

2017年8月28日

A bird's-eye-overview introduction of the field. It teaches you some terms and it gives you ideas about which fields might be interesting for you if you want to really learn how to do machine learning with big data.

創建者 Victor J O O

2020年5月9日

The course start excellent talking about categorical predictions but I would like see a similar explanation for regression or numeric predictions. However, the course offer an excellent quality.

創建者 Santiago C F

2020年10月5日

The course tries to cover too many areas of Machine Learning, which ends up reducing the amount of time per topic, as well as the information you'll get to see.

創建者 Anil B

2019年1月21日

It would have been better if more case studies to work were given. I am surprised that there is no working case study given for regression analysis.

創建者 Thorsten S

2021年1月13日

The course as such is not too bad ... BUT it's nearly impossible to do the hands-on exercises as Cloudera doesn't support virtual machines anymore.

創建者 Mohan R S

2020年5月30日

The descriptive topics were The Handson exercise could be more elaborative. Many of the commands are just written but not explained.

創建者 Alberto T

2017年6月14日

many basic of machine learning but not so specific to big data, only hands-on with pyspark is big-data related

創建者 HILLEL D

2020年6月21日

Topics covered are good.

Outdated.

Hands-on needs to be updated. Exisitng set of 5th week contains error

創建者 JAIDER M F T

2020年5月12日

El curso es introductorio no ahonda en los temas, me hubiese gustado que hubiese mostrado mas temas.

創建者 Miguel T

2018年8月17日

I miss some technical information about machine learning techniques such as neural networks.

創建者 Luis A

2020年5月14日

Very basic in terms of statistical techniques but liked the use of big data tools

創建者 Akash R

2020年6月6日

this is more about ml classes, very less practical, only theoretical........

創建者 Juan S H C

2020年5月3日

The Cloudera must to be checked. Too many errors in the Hands-On exercices

創建者 PRERNA S

2018年3月15日

It was a basic course for initial understanding about Machine learning.

創建者 Giorgi B

2020年9月13日

Very basic, and if you know machine learning only good for using knime

創建者 Francisco J H A

2019年12月24日

The last week in my point of view is not linked to machine learning.

創建者 Atharva J

2020年9月21日

Low volume for lecture videos, System setup is long and tedious .

創建者 Carlos A A C

2020年4月25日

We dont see how to use things like hadoop map reduce or clustering

創建者 Rahul P

2019年8月2日

The Hands-On exercises were good. The theory part was too shallow.

創建者 Kartik K

2018年11月23日

The course should cover more topics about Machine Learning.

創建者 Ivan S

2017年3月1日

Very basic things... Any examples for regression.

創建者 J. A H P

2016年12月29日

It's ok for an extremely high-level overiew