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

4.1
46 ratings
6 reviews

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

AT

Sep 24, 2019

In very simple and crisp way a lot of details are covered about Apache Spark. Very good way to start.

WO

Sep 30, 2019

Great tutor, he loves to keep things simple and to the point. Loved the course.

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1 - 7 of 7 Reviews for Scalable Machine Learning on Big Data using Apache Spark

By Abdelrahman g e f

Sep 16, 2019

the accent of the instructor was very hard to understand him during explanation but he was good instructor at all

By Amit T

Sep 24, 2019

In very simple and crisp way a lot of details are covered about Apache Spark. Very good way to start.

By Waqas K O

Sep 30, 2019

Great tutor, he loves to keep things simple and to the point. Loved the course.

By Yuting K

Oct 03, 2019

The quality of the videos could be better

By Jair J C C

Oct 19, 2019

Very Good, but I think the course needs more challenging exams

By Benhur O J

Oct 08, 2019

Too superficial. The python example codes are very cryptic and not very well commented. The programming videos are very difficult to follow because the instructor is literally reading the code instead of explaining it.

By Jay P

Sep 29, 2019

Horrible