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返回到 Scalable Machine Learning on Big Data using Apache Spark

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

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1,036 個評分
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270 條評論

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...

熱門審閱

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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126 - Scalable Machine Learning on Big Data using Apache Spark 的 150 個評論（共 269 個）

創建者 Paru L

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2020年2月2日

Explanations could be a little more detailed. Felt like I was missing chunks of information while watching videos.

創建者 yan l

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2020年6月17日

very systematic way to learn ApacheSpark (esp pyspark). It would be helpful to include more hands on excercise

創建者 Daxkumar J

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2020年2月21日

This course gives you a basic idea behind the pyspark. If you are a beginner so this course for you.

創建者 JOSE J M C

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2020年5月25日

Instructor pronunciation is not the best for someone who are not usually listening explain so fast.

創建者 Jochen G

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2020年1月15日

Cool course with a slow paced start and then interesting examples to work with Apache Spark ML.

創建者 YASH K

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2020年6月27日

Overall its an excellent course but I think more programing exercise should be there.

創建者 Hayagreev S

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2020年9月12日

Good Course! Was able to understand the complex python involved! Nice examples.

創建者 Heetanshu R

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2020年8月30日

The professor's English is just hard to understand but otherwise it is good!

創建者 Zijie

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2020年5月20日

It would be perfect if the coding showing screen could be more clear.

創建者 Roberto M

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2020年6月16日

Good course, but the instructor sometimes seems to be a little off.

創建者 YERRAMOTHU G S

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2020年4月1日

TRAINER IS GOING BIT FASTER BUT HAD FUN WITH THIS COURSE THANK YOU

創建者 Vijander S

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2020年4月1日

the programming environment is complex it should be explained

創建者 Maurício C B

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2020年5月27日

Precisa ser atualizado. Possui correções em alguns vídeos.

創建者 Ilham R

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2020年8月2日

this is a complicated course especially for beginners

創建者 fulvio c

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2020年6月8日

The lines of code provided are extremely valuable.

創建者 Utkarsh B

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2020年1月16日

There should be some more exercises for practice.

創建者 Devarshi G

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2020年5月10日

Would've loved if more practice tests were given

創建者 Harshit K L

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2020年3月10日

The Course can be made to cover some more basics

創建者 Valerio R

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2020年2月1日

Please less math calculus in the quitzzes

創建者 ycey

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2020年1月7日

Need to be more organized course items

創建者 REN F

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2020年4月5日

Environment never get set up properly

創建者 Daniel J B O

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2020年5月26日

Good refresh of Apache spark

創建者 LIN J

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2020年6月9日

Video is too blur

創建者 Tchuya P A

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2020年3月22日

très intéressant

創建者 Narendra b O

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2019年12月24日

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