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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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1,232 個評分

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313 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...

51 - Scalable Machine Learning on Big Data using Apache Spark 的 75 個評論（共 315 個）

創建者 Rogerio A

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2020年6月24日

Great course. The instructor is simply amazing and so knowlegeable. I definitely recommend this course.

創建者 Ratheeshwaraa K

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2020年5月6日

This course is structured very well and the assignments and notebook given are really great resource.

創建者 Lee Y Y

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2020年2月9日

Easy to follow and clear. May introduce more about Apache Spark usage in different fields/industries

創建者 Shrinivas S

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2020年1月31日

Great Hands-On activity, good pace so you are not lost and complete the learning objectives.

創建者 Anushree C

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2021年5月24日

I would like to thank all the instructors for preparing such a nice course.

創建者 Dhananjay A

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2021年3月19日

Great course for conceptual introduction of parallel computing using Apache Spark.

創建者 Sadabrata K

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2020年3月30日

Good content and the programming assignments really help in applying the concepts.

創建者 CHALLA K S N M S

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2020年8月9日

Awesome course flow!

Enjoyed while learning and great experience with IBM WATSON.

創建者 Harpreet K M

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2020年7月4日

A very clear and explained overview of Machine learning using the Apache spark

創建者 Vivek R

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2020年5月2日

Romeo Kienzler Sir is so helpful for students. there all lectures are great.

創建者 Jered W

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2019年12月11日

Good instructor. We should probably have more spark coding assignments.

創建者 Johanes M L

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2021年2月28日

I learnt much about Apache Spark and implement Machine Learning on it

創建者 Christopher G

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2020年1月3日

Very good and concise introduction to the topic. Thank you very much!

創建者 Patricio V

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2020年5月23日

Excellent cours and practical, some videos needs to improve quality

創建者 Bhaumik J

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2020年3月10日

Absolutely great course on Apache Spark for big data analysis!

創建者 Kishore K P

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2019年12月29日

Good Course who looks for practicals, not for theory classes.

創建者 Arijit B

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2021年2月20日

Excellent Course, for Apache Spark Platform and ML Pipelines

創建者 Benjamin F

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2020年7月5日

Very nice introduction and extension of the first course.

創建者 Андрей К

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2020年2月8日

great and easy pyspark introduction and implementation

創建者 Ahmet Ö

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2019年12月21日

There should be more practice notebooks and questions

創建者 MD I A

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2020年5月1日

Excellent courses much interesting statistical part.

創建者 Darnesha C

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2020年1月28日

I really enjoyed this course! it made learning fun!

創建者 CARLOS S

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2020年2月11日

This course amplify our vision about Big Data!

創建者 Joel G A

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2020年6月30日

quite a good course for data science interest

創建者 Emilio T

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2021年1月29日

good course... everything is well explained

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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51 - Scalable Machine Learning on Big Data using Apache Spark 的 75 個評論（共 315 個）

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

課程概述

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51 - Scalable Machine Learning on Big Data using Apache Spark 的 75 個評論（共 315 個）

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