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学生对 IBM 提供的 Scalable Machine Learning on Big Data using Apache Spark 的评价和反馈

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1,252 个评分

课程概述

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://hua.dididi.sbs/learn/python-for-applied-data-science or similar https://hua.dididi.sbs/learn/machine-learning-with-python or similar https://hua.dididi.sbs/learn/sql-data-science for optional lectures...

热门审阅

SS

Feb 22, 2020

for the last assignment we should have got the opportunity to code in the notebook instead of just running it and reporting results.

JS

Feb 25, 2020

After completing this course you will be able to use Apache Spark to build ML models (e.g., Linear Regression, Gaussian Mixture Model, etc.).

筛选依据：

51 - Scalable Machine Learning on Big Data using Apache Spark 的 75 个评论（共 319 个）

创建者 Rogerio A

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Jun 24, 2020

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

创建者 Ratheeshwaraa K ( t F l

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May 6, 2020

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

创建者 Lee Y Y

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Feb 9, 2020

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

创建者 Shrinivas S

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Jan 31, 2020

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

创建者 Sayomphon K

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Jun 3, 2025

It is very helpful for me to understand more about Spark that applies in ML projects

创建者 Anushree C

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May 24, 2021

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

创建者 Dhananjay A

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Mar 19, 2021

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

创建者 Sadabrata K

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Mar 30, 2020

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

创建者 CHALLA K S N M S

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Aug 9, 2020

Awesome course flow!

Enjoyed while learning and great experience with IBM WATSON.

创建者 Harpreet K M

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Jul 4, 2020

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

创建者 Vivek R

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May 2, 2020

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

创建者 Jered W

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Dec 11, 2019

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

创建者 Johanes M L

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Feb 28, 2021

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

创建者 Christopher G

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Jan 3, 2020

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

创建者 Patricio V

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May 23, 2020

Excellent cours and practical, some videos needs to improve quality

创建者 Bhaumik J

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Mar 10, 2020

Absolutely great course on Apache Spark for big data analysis!

创建者 kishore k R

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Dec 29, 2019

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

创建者 Arijit B

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Feb 20, 2021

Excellent Course, for Apache Spark Platform and ML Pipelines

创建者 Deleted A

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Jul 5, 2020

Very nice introduction and extension of the first course.

创建者 Андрей К

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Feb 8, 2020

great and easy pyspark introduction and implementation

创建者 Ahmet Ö

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Dec 21, 2019

There should be more practice notebooks and questions

创建者 Ifzal A M

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May 1, 2020

Excellent courses much interesting statistical part.

创建者 Darnesha C

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Jan 28, 2020

I really enjoyed this course! it made learning fun!

创建者 CARLOS S

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Feb 11, 2020

This course amplify our vision about Big Data!

创建者 Joel G A

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Jun 30, 2020

quite a good course for data science interest