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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

3.8
1,184 個評分
302 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...

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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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126 - Scalable Machine Learning on Big Data using Apache Spark 的 150 個評論(共 301 個)

創建者 Giorgio G

2020年5月20日

Great tutorial overall.

Room for improvement: Fix the differences int the definition of kurtosis and skew between vide, test, examples (preferable the scipy definition).

創建者 Zaheer U R

2020年6月1日

It was a very interesting and skillful course. Thanks to IBM and Coursera for such a wonderful course. Special thanks to Mr. Romeo Kienzer for explaining it so well.

創建者 leonardo d

2020年2月24日

There are some issues with the normalization of the distribution moments. Everything else is good material to learn how to use apache-spark for the first time.

創建者 Julien P

2020年6月9日

Great notebooks. But the videos are getting old and are a bit obsolete compared to the contents in notebooks. I would have also appreciated more theory.

創建者 Chokdee S

2020年5月4日

Learning material is pretty good for getting started with Apache SparkML. Everyone who leaps into Scalable Machine Learning this is one of your choice

創建者 Brandon C

2020年2月18日

I found this course incredibly beneficial. Moving forward, I would like to see a bit more explanation of concepts and few extra workable examples.

創建者 Stefan W

2020年1月22日

Course was nice and avoided peer-graded assignments (which I appreciate) but code was written in Python 2 which led to un-maintained code.

創建者 Shahtab A K

2020年7月26日

In some videos, it shows one thing in the video and then there is a prompt to follow another one. It gets a little bit confusing there.

創建者 Itamar A T

2020年3月28日

I found difficult to understand the concepts, for sure I must have to review the class.

Thanks for the dedication in helping us.

Itamar

創建者 Shashank S

2020年2月23日

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

創建者 Sarath C G K

2020年4月16日

He has good knowledge. Though his language is ok , He covered very important topics in very short span of time with high quality

創建者 Lawrence K

2020年4月4日

Nice course with real details and opportunities to practice. We just need some more private study to cement skills learnt.

創建者 shanmukha y

2020年4月12日

I felt the week 3 and 4 were rushed a bit. But everything else was well done. It was like a well defined "pipeline" : )

創建者 Stephane A

2020年5月1日

Nice course. I really understand big data and how to manipulate data in data centers. I can use better Apache Spark.

創建者 No O

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

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

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

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

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

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

2020年9月12日

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

創建者 Heetanshu R

2020年8月30日

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

創建者 HoangVan N

2021年1月5日

This course is very good for me but there is a video not watch in Week 3

創建者 Zijie

2020年5月20日

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

創建者 Roberto M

2020年6月16日

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