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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.

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301 - 319 of 319 Reviews for Scalable Machine Learning on Big Data using Apache Spark

By Hari R

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Jan 28, 2021

It was NOT a course where a CC was NOT required. I unenrolled and oprefer to learn by using Youtube

By Berkay K

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Jun 19, 2020

Hard to understrand teacher. Content of this course unfortunatly not enough for learning.

By Parijat K

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May 3, 2020

The course didn't live up to the expectation. Very little explanation. Too superficial.

By Raúl S

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Feb 27, 2020

muy malo por eso me di de baja de todos los cursos ni si quiera están las traducciones

By Nissim L

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Apr 17, 2020

Instructed with python 2.7 -old material they didn't bother to update.

NOT OKAY!!!

By wasim m

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May 22, 2020

the worst course by ibm

my confidence level goes down after taking this course

By Yutaka R

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May 25, 2020

If the video without subtitle, I swear I can't understanding the lecture....

By lorenzo a

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Apr 3, 2020

It really feels like the course was prepared in a bit of a rushed fashion.

By Mariam A

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Mar 2, 2020

Useless course, waste of time, but i had to take it for the certificate.

By Fernando G

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Dec 13, 2021

Very low quality course, not recommended. I expected better from IBM

By Nazim U S

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Jun 27, 2021

One of the worst course ! Struggling to understand Romeo's accent.

By gurdeep s

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May 25, 2020

Not much explanation regarding concepts. Disappointed.

By Arjan P B

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May 3, 2020

What a mess, please remove this course right away.

By Fernando A

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Jan 13, 2023

Did not like it. Only 4th week makes sense.

By Annejet t K

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Jun 17, 2020

Old course not compatible with python 3.7

By James N

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Jul 20, 2022

Cannot create a Watson account.

By harshad j

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Sep 2, 2020

WAS not upto that

By Giuseppe C

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Mar 28, 2020

very bad teacher

By Abish P

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Aug 14, 2020

Not that good