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学生对 加州大学圣地亚哥分校 提供的 基于大数据的机器学习 的评价和反馈

4.6
1,386 个评分
263 个审阅

课程概述

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...

热门审阅

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.

筛选依据:

176 - 基于大数据的机器学习 的 200 个评论(共 244 个)

创建者 Antony C

Apr 05, 2018

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

创建者 AGARAOLI A

Feb 10, 2017

-

创建者 SAURAV P

Nov 07, 2016

insightful

创建者 Masahiro H

Jan 21, 2017

well structured, fits well to beginners!

创建者 Gabriel T

Feb 03, 2018

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

创建者 Fernando B M

Oct 10, 2017

Very interesting. KNIME is an exciting tool!

创建者 MIMURA S

Jan 07, 2017

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

创建者 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...

创建者 Federico S

Mar 02, 2018

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

创建者 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.

创建者 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.

创建者 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

创建者 Silvia C R S

Nov 18, 2017

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

创建者 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.

创建者 Juan J R M

Jun 27, 2017

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

创建者 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.

创建者 Kairsten F

Dec 06, 2016

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

创建者 Kesanakurthi N

Sep 09, 2018

very good topic learnt from you

创建者 Raul

Aug 27, 2018

105/5000

I lack to have more examples of a complete solution, applying all the concepts in a generic problem.

创建者 Harsh O

Aug 11, 2018

The course was really informative .I got new things to learn.

创建者 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.

创建者 Vincent R

May 05, 2018

The course was ver

创建者 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.

创建者 Teresa S

Jan 30, 2018

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

创建者 Ashish A

Oct 04, 2017

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