Chevron Left
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
1,248 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

AC

Mar 25, 2020

Excellent course! All the explanations are quite clear, a lot of good quality information provided from amazing teacher. Additionally, response times for any question is very fast.

CL

Dec 11, 2019

Really really REALLY enjoyed this course! The instructor does a masterful job of going from simple examples and building up complexity in a very logical and thorough way.

Filter by:

51 - 75 of 318 Reviews for Scalable Machine Learning on Big Data using Apache Spark

By Rogerio A

•

Jun 24, 2020

Great course. The instructor is simply amazing and so knowlegeable. I definitely recommend this course.

By Ratheeshwaraa K ( t F l

•

May 6, 2020

This course is structured very well and the assignments and notebook given are really great resource.

By Lee Y Y

•

Feb 9, 2020

Easy to follow and clear. May introduce more about Apache Spark usage in different fields/industries

By Shrinivas S

•

Jan 31, 2020

Great Hands-On activity, good pace so you are not lost and complete the learning objectives.

By Anushree C

•

May 24, 2021

I would like to thank all the instructors for preparing such a nice course.

By Dhananjay A

•

Mar 19, 2021

Great course for conceptual introduction of parallel computing using Apache Spark.

By Sadabrata K

•

Mar 30, 2020

Good content and the programming assignments really help in applying the concepts.

By CHALLA K S N M S

•

Aug 9, 2020

Awesome course flow!

Enjoyed while learning and great experience with IBM WATSON.

By Harpreet K M

•

Jul 4, 2020

A very clear and explained overview of Machine learning using the Apache spark

By Vivek R

•

May 2, 2020

Romeo Kienzler Sir is so helpful for students. there all lectures are great.

By Jered W

•

Dec 11, 2019

Good instructor. We should probably have more spark coding assignments.

By Johanes M L

•

Feb 28, 2021

I learnt much about Apache Spark and implement Machine Learning on it

By Christopher G

•

Jan 3, 2020

Very good and concise introduction to the topic. Thank you very much!

By Patricio V

•

May 23, 2020

Excellent cours and practical, some videos needs to improve quality

By Bhaumik J

•

Mar 10, 2020

Absolutely great course on Apache Spark for big data analysis!

By kishore k R

•

Dec 29, 2019

Good Course who looks for practicals, not for theory classes.

By Arijit B

•

Feb 20, 2021

Excellent Course, for Apache Spark Platform and ML Pipelines

By Benjamin F

•

Jul 5, 2020

Very nice introduction and extension of the first course.

By Андрей К

•

Feb 8, 2020

great and easy pyspark introduction and implementation

By Ahmet Ö

•

Dec 21, 2019

There should be more practice notebooks and questions

By Ifzal A M

•

May 1, 2020

Excellent courses much interesting statistical part.

By Darnesha C

•

Jan 28, 2020

I really enjoyed this course! it made learning fun!

By CARLOS S

•

Feb 11, 2020

This course amplify our vision about Big Data!

By Joel G A

•

Jun 30, 2020

quite a good course for data science interest

By Emilio T

•

Jan 29, 2021

good course... everything is well explained