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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
1,386 calificaciones
263 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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226 - 244 de 244 revisiones para Machine Learning With Big Data

por Beate S

Nov 16, 2017

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.

por Ivan S

Mar 01, 2017

Very basic things... Any examples for regression.

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 J. A H P

Dec 29, 2016

It's ok for an extremely high-level overiew

por PRERNA S

Mar 15, 2018

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

por Artur L

Oct 27, 2017

Nice knowledge refresher

por Miguel T

Aug 17, 2018

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

por Kartik K

Nov 23, 2018

The course should cover more topics about Machine Learning.

por Rahul P

Aug 02, 2019

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

por Csaba P O

Oct 04, 2017

This course is more "the very basics of machine learning" illustrated with some examples. The lectures were clear and logical, but honestly, very basic. Unfortunately the big data handsons (the ones with pyspark) are not explained very thoroughly, often they just state that "do this or do that" instead of explaining what is going on. All in all, I have expected more big-data related topics and less introduction to machine learning.

por Tobias O F

Jul 31, 2017

The parts including KNIME was not interesting or educational, it was just an big grind. I feel once you are on a level to use KNIME you know that it is better (and easier) to use other frameworks where you have more control, therefor missing customers the program is meant for.

Additionally the last hands-on felt rushed and just copy-paste to some extent (to being able to complete the tasks), even for me having a lot of jupyter and machine learning background.

por Michal Š

Nov 18, 2016

Almost a useless course - ML overview using KNIME which gives no insight whatsoever.

por Erik P

Oct 17, 2017

The virtual machine in this course no longer is functioning. PySpark update seems to not play nice. I think the content also needs some updating for more modern machine learning techniques.. like using big data with deep learning systems like tensor flow or PyTorch.

por Alfonso A G

Dec 03, 2016

Machine learning is too simplified and spark part is not even explained, also very little relation of all course with Big Data.

por Ruijia W

Nov 26, 2017

Too basic

por Manfred K

Jul 14, 2017

I expected course with more in-depth and more difficult examples, I learned about a few new concepts, most methods were repetitions for me.

por William R

Nov 20, 2016

This is another course in UCSD's "Big Data" introductory course. The material is not pertinent to a specialty on big data technologies. Further the course does not increase one's knowledge of Machine Learning in any way that justifies spending the time in the course.

por Beatrice C

Dec 14, 2016

The course content is very poorly explained. The quiz questions don't really test what was taught in the lectures, and the assignments are just copying and pasting things. I feel like I still have a very poor understanding of what was supposedly covered in the course. I cannot generalise or apply the 'learned' information or skills to other topics or researches because I didn't actually understand the core concepts or how to use the programs.

por Kamalesh P

Oct 24, 2019

Regression is least bothered, less hands on