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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
2,392 个评分

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

JG

Oct 24, 2020

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

Jul 18, 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.

筛选依据:

126 - 基于大数据的机器学习 的 150 个评论(共 488 个)

创建者 LUISA M C T

Dec 11, 2020

Genial este curso, muy claro, conciso, con respecto a fundamentos del Machine Learning

创建者 Benh L S

Mar 2, 2020

Clear and concise explanations. Good examples, and good hands-on (setup issues aside).

创建者 Nur K

Jul 4, 2019

This is good courses, the explanation of the concept is easy to understand. Thank you!

创建者 Lukáš B

Jan 12, 2018

The most interesting course of all specialization. What is missing is deeper insight.

创建者 Ali A

Sep 7, 2020

The best course in this specialization, clear and to the point with a good exercises

创建者 JOHN F V O

Apr 24, 2020

Brinda herramientas básicas para aprender sobre las metodologías de machine learning

创建者 Dr M A S

Apr 24, 2020

EXCELLENT COURSE FOR EVERY INDIVIDUAL WHO IS KEEN INSERTED TO LEARN MACHINE LEARNING

创建者 Prajwal S N

Jul 18, 2018

The best course in the specialization. ML instructor was very crisp and smiplistic.

创建者 CARLOS A U F

Apr 6, 2020

Muy bueno, claro en sus conceptos y didáctico con herramientas de Machine Learning

创建者 David C

Mar 31, 2020

Good learning videos with excellent pronunciation, challenging labs... i have fun.

创建者 Apurva T

Mar 23, 2019

Very good course. Training very well provided by trainer. Very good examples used.

创建者 Juan C H

Jun 11, 2017

All the topics were explained with a lot of detail. Enjoyed and Learned a lot!!

创建者 Oscar A O G

Oct 5, 2020

Muy interesante, explica de forma practica algunos métodos de Maching learning

创建者 Suraj J W

Sep 23, 2019

Thanks for craeting such nice course and helping other to learn new technology

创建者 Sabawoon S

Jan 30, 2018

Excellent content, the hands on exercise can be improved and be more detailed.

创建者 Amin O

Oct 6, 2019

Awesome!!

It would be great if more hands-on (specially spark) will be added.

创建者 MARTIN C

Oct 15, 2019

Excellent Course. I would consider changing Spark for other similar to knime

创建者 Nikola M

Nov 18, 2021

The content is basic and provides a great structure for further exploration

创建者 Сулейкин А

Mar 26, 2017

Very interesting cource! Thank you!

I would suggest to advance python tasks

创建者 DIEGO F Q T

Mar 18, 2021

it was an excellent course, i learned a lot and reinforced other concepts.

创建者 Ganesan R

Jul 6, 2020

Excellent way of teaching...concepts are very understandable. Thanks team.

创建者 Aditya S

Jan 19, 2018

Good for learning the concepts and techniques of Machine Learning with Big

创建者 Darius T

Jan 1, 2018

Great course to understand Machine Learning basics and practice with Spark

创建者 Piotr B

Nov 5, 2017

This was an amazing course. Everything was very well explained. Thank you.

创建者 Juan C C C

Nov 12, 2019

Clearly explained course with practical hands-on and insightful concepts.