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學生對 IBM 技能网络 提供的 Scalable Machine Learning on Big Data using Apache Spark 的評價和反饋

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課程概述

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...

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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.

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1 - Scalable Machine Learning on Big Data using Apache Spark 的 25 個評論(共 316 個)

創建者 Lewis m

2019年11月11日

創建者 Ruslan I M V

2019年11月9日

創建者 Nicolás F

2019年12月4日

創建者 Benhur O J

2019年10月8日

創建者 Pierre P

2020年4月1日

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2019年12月8日

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2020年1月24日

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2019年11月23日

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2020年1月13日

創建者 Jay P

2019年9月29日

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2019年10月23日

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2019年10月27日

創建者 Abdelrahman G E F

2019年9月16日

創建者 Denis U

2020年1月3日

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2019年11月2日

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2019年11月11日

創建者 Gherbi H

2019年11月15日

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2019年11月6日

創建者 Justin M

2019年12月15日

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2019年10月19日

創建者 RICARDO H R

2020年7月14日

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2019年9月24日

創建者 Waqas K O

2019年9月30日

創建者 Andrey K

2020年7月8日

創建者 Adrian I

2020年9月22日