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Opiniones y comentarios de aprendices correspondientes a Machine Learning With Big Data por parte de Universidad de California en San Diego

4.6
1,335 calificaciones
255 revisiones

Acerca del Curso

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...

Principales revisiones

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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201 - 225 de 238 revisiones para Machine Learning With Big Data

por Stefan S

Nov 07, 2017

Easy understandable introduction to Machine Learning

por Tu L

May 20, 2018

Too Basic

por Carlos S d l C

Apr 02, 2019

Good course

por Chaitanya J

Apr 09, 2019

Very good course but not getting course certificate. Please help!

por Saravanan

Mar 28, 2019

Good

por Siddharth S

Mar 27, 2019

nice introductory course

por Gustavo I M

Jul 03, 2019

Good, would be better if was in portuguese. and sometime is very painful configure the machine. But is a good course, better than the previus 3

por Laurent C S

Jul 06, 2019

great course, all examples with Spark and Knime were working for me

por Siva P R

Aug 23, 2019

Good one !!

por HUBER H M

Sep 20, 2019

Thas good course for learn the machine learning and big data

por Verónica Y G Z

Sep 20, 2019

Esta Bien, :)

por Jose R Z

Sep 03, 2019

The concepts in the course are very good but very basics in machine learning, it's a good introduction to knime and spark

por Sun W

Sep 24, 2019

Generally its good content. However the VM setup is still horrible. Many time wasted on debugging and set up environment.

por Harshith

Oct 12, 2019

It was brief and comprehensive , Got to learn various technologies like Knime and Spark

por Kartik K

Nov 23, 2018

The course should cover more topics about Machine Learning.

por Anil B

Jan 21, 2019

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.

por Miguel T

Aug 17, 2018

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

por Palash V S

Jan 27, 2018

Not hard, a very beginner-level course.

por Riccardo P

Jun 01, 2018

Not so happy... it would be a little bit better if I attended this one before the ML course by Andrew NG...

Here, the topics are just introduced and poorly demonstrated using Knime and Spark.

Maybe, I had wrong expectations but, given the course title, you need to push more on Spark and leave the ML introduction to better courses like Andrew's one or a dedicated one.

Don't spare too much time with stuff like Course 2 and get some risks

por Alberto T

Jun 14, 2017

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

por J. A H P

Dec 29, 2016

It's ok for an extremely high-level overiew

por Francisco P J

Aug 02, 2017

Some parts of the course are quite interesting, in concrete, the introduction to the Knime tool (so useful and open source tool which I will try to take a deep look on it as the course only provide a slightly overview). Otherwise, i think that the content is not enough, i don´t feel that I have fully understand the core of Machine Learning and its difference with other BD applications.

por Hendrik B

Feb 21, 2018

It's better than the other courses of this specialization, but still I wouldn't say that the course is particularly good. Also, the instructors don't appear to care for the learning progress of the learners. There is next to no help via forums, for example. What I think was good is that the instructor attempts to explain the algorithms of the machine learning methods visually and comprehensively.

What I think is a joke is the way the quizzes are organized. The questions almost never deviate from a 'change a number or copy the code' style. Like this, you do not really learn anything instead of copying code and changing something. The quizzes need some additional parts where it is important to apply what is learned to new contexts. ADditionally, the instructors need to put more focus on explaining what certain parts of the code do and why certain parts of the codes are improtant- Otherwise, this course won't be worth more than learning by doing alone.

por Joren Z

Aug 28, 2017

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.

por PRERNA S

Mar 15, 2018

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