Chevron Left
Scalable Machine Learning on Big Data using Apache Spark に戻る

IBM Skills Network による Scalable Machine Learning on Big Data using Apache Spark の受講者のレビューおよびフィードバック

3.8
1,242件の評価

コースについて

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...

人気のレビュー

AC

2020年3月25日

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

2019年12月11日

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.

フィルター:

Scalable Machine Learning on Big Data using Apache Spark: 226 - 250 / 316 レビュー

by Tarun

2020年6月1日

by Fabio G

2021年2月10日

by Aaditya M

2020年6月26日

by Wenbo Z

2020年5月26日

by André S M

2020年8月1日

by THOMONT B

2021年1月6日

by Xueling L

2020年6月10日

by Ameya K

2021年1月11日

by P S

2020年11月14日

by مجید د

2020年5月24日

by Aditya K

2020年8月4日

by Gao S

2019年12月21日

by Axel A

2020年8月22日

by NoOneMine

2020年5月12日

by Linda A L

2020年6月30日

by Hamad U R Q

2020年9月26日

by Tarun C

2020年3月14日

by Marc D

2021年3月5日

by Oakleigh W

2020年11月9日

by Cristina G

2020年4月14日

by Gaby B T

2020年4月6日

by andrew r

2020年11月22日

by Panagiotis P

2020年4月18日

by Pietro D

2020年1月3日

by ANURAG G

2020年4月17日