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: 151 - 175 / 316 レビュー

by Anaísa S

2021年12月16日

by YASH K

2020年6月27日

by Hayagreev S

2020年9月12日

by Heetanshu R

2020年8月30日

by HoangVan N

2021年1月5日

by Zijie

2020年5月20日

by Roberto M

2020年6月16日

by YERRAMOTHU G S

2020年4月1日

by Vijander S

2020年4月1日

by Maurício C B

2020年5月27日

by Ilham R

2020年8月2日

by Víctor M F S

2021年8月14日

by Fulvio C

2020年6月8日

by Utkarsh B

2020年1月16日

by Devarshi G

2020年5月10日

by Harshit K L

2020年3月10日

by Valerio R

2020年2月1日

by ycey

2020年1月7日

by REN F

2020年4月5日

by Daniel J B O

2020年5月26日

by LIN J

2020年6月9日

by Adrien P

2020年3月22日

by skhapijulhossen

2021年5月19日

by Narendra b O

2019年12月24日

by Julien P

2020年12月30日