Back to Scalable Machine Learning on Big Data using Apache Spark

Learner Reviews & Feedback for Scalable Machine Learning on Big Data using Apache Spark by IBM

3.8

stars

1,251 ratings

About the Course

This course will empower you with the skills to scale data science and machine learning (ML) tasks on Big Data sets using Apache Spark. Most real world machine learning work involves very large data sets that go beyond the CPU, memory and storage limitations of a single computer. Apache Spark is an open source framework that leverages cluster computing and distributed storage to process extremely large data sets in an efficient and cost effective manner. Therefore an applied knowledge of working with Apache Spark is a great asset and potential differentiator for a Machine Learning engineer. After completing this course, you will be able to: - gain a practical understanding of Apache Spark, and apply it to solve machine learning problems involving both small and big data - understand how parallel code is written, capable of running on thousands of CPUs. - make use of large scale compute clusters to apply machine learning algorithms on Petabytes of data using Apache SparkML Pipelines. - eliminate out-of-memory errors generated by traditional machine learning frameworks when data doesn’t fit in a computer's main memory - test thousands of different ML models in parallel to find the best performing one – a technique used by many successful Kagglers - (Optional) run SQL statements on very large data sets using Apache SparkSQL and the Apache Spark DataFrame API. Enrol now to learn the machine learning techniques for working with Big Data that have been successfully applied by companies like Alibaba, Apple, Amazon, Baidu, eBay, IBM, NASA, Samsung, SAP, TripAdvisor, Yahoo!, Zalando and many others. NOTE: You will practice running machine learning tasks hands-on on an Apache Spark cluster provided by IBM at no charge during the course which you can continue to use afterwards. Prerequisites: - basic python programming - basic machine learning (optional introduction videos are provided in this course as well) - basic SQL skills for optional content The following courses are recommended before taking this class (unless you already have the skills) https://www.coursera.org/learn/python-for-applied-data-science or similar https://www.coursera.org/learn/machine-learning-with-python or similar https://www.coursera.org/learn/sql-data-science for optional lectures...

Top reviews

May 19, 2020

Great tutorial overall.Room for improvement: Fix the differences int the definition of kurtosis and skew between vide, test, examples (preferable the scipy definition).

Feb 17, 2020

I found this course incredibly beneficial. Moving forward, I would like to see a bit more explanation of concepts and few extra workable examples.

Filter by:

151 - 175 of 319 Reviews for Scalable Machine Learning on Big Data using Apache Spark

By JOSE J M C

•

May 25, 2020

Instructor pronunciation is not the best for someone who are not usually listening explain so fast.

By Jochen G

•

Jan 15, 2020

Cool course with a slow paced start and then interesting examples to work with Apache Spark ML.

By Anaísa S

•

Dec 16, 2021

Good course, but coach's English is poor and many corrections are made during presentations

By 126_YASH K

•

Jun 27, 2020

Overall its an excellent course but I think more programing exercise should be there.

By Hayagreev S

•

Sep 12, 2020

Good Course! Was able to understand the complex python involved! Nice examples.

By Heetanshu R

•

Aug 30, 2020

The professor's English is just hard to understand but otherwise it is good!

By Nguyễn H V

•

Jan 5, 2021

This course is very good for me but there is a video not watch in Week 3

By Zijie

•

May 20, 2020

It would be perfect if the coding showing screen could be more clear.

By Roberto M

•

Jun 16, 2020

Good course, but the instructor sometimes seems to be a little off.

By YERRAMOTHU G S

•

Apr 1, 2020

TRAINER IS GOING BIT FASTER BUT HAD FUN WITH THIS COURSE THANK YOU

By Vijander S

•

Apr 1, 2020

the programming environment is complex it should be explained

By Maurício C B

•

May 27, 2020

Precisa ser atualizado. Possui correções em alguns vídeos.

By Ilham R

•

Aug 2, 2020

this is a complicated course especially for beginners

By Víctor M F S

•

Aug 14, 2021

Quizas alguna propuesta de ejercicios menos guiados

By Fulvio C

•

Jun 8, 2020

The lines of code provided are extremely valuable.

By Utkarsh B

•

Jan 16, 2020

There should be some more exercises for practice.

By Devarshi G

•

May 10, 2020

Would've loved if more practice tests were given

By Harshit K L

•

Mar 10, 2020

The Course can be made to cover some more basics

By Valerio R

•

Feb 1, 2020

Please less math calculus in the quitzzes

By yasemin c

•

Jan 7, 2020

Need to be more organized course items

By REN F

•

Apr 5, 2020

Environment never get set up properly

By Daniel J B O

•

May 26, 2020

Good refresh of Apache spark

By LIN J

•

Jun 9, 2020

Video is too blur

By Adrien P

•

Mar 22, 2020

très intéressant

By skhapijulhossen

•

May 19, 2021

Can be better