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Learner Reviews & Feedback for Machine Learning With Big Data by University of California San Diego

4.6
stars
2,441 ratings

About the Course

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...

Top reviews

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!

PT

Jan 8, 2017

The course was the best introduction I had for machine learning. Helped me a lot to understand different concepts from people who already know about the subject and I didn't have any idea.

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351 - 375 of 494 Reviews for Machine Learning With Big Data

By Ahmed S

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Mar 24, 2020

This course is really nice and interesting one. Dr. Mai is excellent instructor and has good capabilities to simplify complex ideas. However, I did disagree with the course name since a main subject of this course "big data" is not touched in the given sample dataset.

By Dhananjay W

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Oct 28, 2020

Non working libraries are there in cloudera. I got lot problems to install jupyter and ananconda therefore I used my os and installed everything indivisually. Please solve that. Anyway other things are awesome. Good Job. Thank you very much for providing this course.

By Gabriel M

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Jun 13, 2022

Well explained topics about Machine Learning in Big Data scenarios. It's difficult to install Pyspark because of an outdated Cloudera version, but searching in forums and installing Cloudera VM 5.5 you can complete all tasks and assignments.

By Roman J

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Nov 30, 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...

By John C

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Dec 9, 2018

Interesting material. Ran into several issues with the hands on that could have been avoided. Loved learning more about Neo4J. The section on Spark needed more time and additional descriptions.

By Carlos A

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Feb 3, 2021

The course is excellent, the hands on allow are realistic and allow you to have contact with the analysis tools and real Big Data applications. I am very happy and satisfied with the course.

By Jürgen B

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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.

By Jamal A

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May 10, 2017

Great overview about the machine learning in general. There are still lots not covered specially the Neural Network algorithms. Learning Spark MLlib was great advantage of this course.

By Tariq A

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Dec 27, 2019

The fact that the assignments are graded means that there’s incentive to work on them, solve problems, and ask questions. Traditional online courses don’t offer that incentive.

By Dushyant

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Sep 7, 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.

By SUNITHA M

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Dec 4, 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

By Santiago Z

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Aug 23, 2020

Good course, but I found several problems in the virtual machine and it was difficult to solve them with the forum info. I had to rebuild the vm several times.

By Thomas H

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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.

By vishal c

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Sep 12, 2017

This is a good course to understand how we can apply basic ML algorithm like classification, clustering using KNIME and Spark ML on very high level.

By Gustavo I M

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Jul 3, 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

By MartinsT

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Nov 12, 2020

In my opinion this is one of the best courses in Big Data specialization. I hghly recommend it, because of the theory AND practical tasks.

By Ofer K

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Oct 5, 2020

I was expecting a deeper coverage of the ML algorithm, however the course was fun and it was useful for me to get acquainted with KNIME

By Miguel A R B

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Jan 12, 2020

There was a good explanation of concepts, but I think it was possible to include more themes or empathize more in other techniques.

By Matteo B

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Apr 5, 2018

This course gives a good overview of the main machine learning techniques to analyze data using either spark or a GUI tool (KNIME).

By Andres V N

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Jun 8, 2020

great course, felt it was a bit basic for some stuff, would've liked more hands on.

Liked working with 2 tools, KNIME and Pyspark

By Sun W

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Sep 24, 2019

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

By Jose R Z

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Sep 3, 2019

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

By Irfan S

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Nov 25, 2017

Good course for new comers. Regression and Clustering concepts were explained in very high level and need some in depth.

By Teresa S

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Jan 30, 2018

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

By Stefan V

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Aug 19, 2020

Spark was too much for my machine to handle, but working with Knime was a nice visual and guided experience to ML.