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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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1,200 個評分
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306 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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76 - Scalable Machine Learning on Big Data using Apache Spark 的 100 個評論（共 305 個）

創建者 Fahad A

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2020年2月29日

It was challenging and very informative

創建者 Nelson C S

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2020年5月28日

Excelente Curso, muy bien explicado !

創建者 Walter c

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2021年5月1日

Is a course very hard but wonderful.

創建者 Manjiri N

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2020年5月31日

I find this course very interesting.

創建者 Fernandes M R

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2020年11月10日

It is not the best, but it is good.

創建者 Nguyen T T

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2020年6月9日

Handful material, great course!!!

創建者 Edson J M

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2020年8月4日

Perfect course to learning Spark

創建者 Pratik P

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2020年6月14日

Great Course Highly Recommended

創建者 Michel G E H

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2020年3月23日

Amazing course! Thank you!

創建者 Vaibhav Y T

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2020年11月9日

Excellent Course!

創建者 Krishna H

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2020年4月26日

Very good course!

創建者 ever b

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2020年3月25日

excellent course

創建者 Erickson M

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2020年9月20日

Excelente Curso

創建者 SAMIR B

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2020年5月9日

detailed course

創建者 Julien V

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2020年4月28日

Great course !

創建者 Vivek C

•
2020年6月14日

great trainer

創建者 Harsh S

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2020年10月17日

great course

創建者 Aditya M P

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2020年12月1日

Good Course

創建者 Manjot S D

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2020年6月17日

Masterpiece

創建者 PARITOSH P

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2020年1月8日

Good course

創建者 Yassine E

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2020年1月10日

Awesome :)

創建者 Dr.Lakshmi D

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2020年7月8日

Excellent

創建者 Krish g

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2020年5月30日

fabulous

創建者 shaik m y

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2020年5月11日

Good

創建者 ashish k

•
2020年5月3日

good

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