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Scalable Machine Learning on Big Data using Apache Spark(으)로 돌아가기

IBM 기술 네트워크의 Scalable Machine Learning on Big Data using Apache Spark 학습자 리뷰 및 피드백

1,233개의 평가

강좌 소개

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) or similar or similar for optional lectures...

최상위 리뷰


2020년 3월 25일

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.


2019년 12월 11일

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.

필터링 기준:

Scalable Machine Learning on Big Data using Apache Spark의 316개 리뷰 중 151~175

교육 기관: Anaísa S

2021년 12월 16일

Good course, but coach's English is poor and many corrections are made during presentations

교육 기관: YASH K

2020년 6월 27일

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

교육 기관: Hayagreev S

2020년 9월 12일

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

교육 기관: Heetanshu R

2020년 8월 30일

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

교육 기관: HoangVan N

2021년 1월 5일

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

교육 기관: Zijie

2020년 5월 20일

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

교육 기관: Roberto M

2020년 6월 16일

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


2020년 4월 1일


교육 기관: Vijander S

2020년 4월 1일

the programming environment is complex it should be explained

교육 기관: Maurício C B

2020년 5월 27일

Precisa ser atualizado. Possui correções em alguns vídeos.

교육 기관: Ilham R

2020년 8월 2일

this is a complicated course especially for beginners

교육 기관: Víctor M F S

2021년 8월 14일

Quizas alguna propuesta de ejercicios menos guiados

교육 기관: Fulvio C

2020년 6월 8일

The lines of code provided are extremely valuable.

교육 기관: Utkarsh B

2020년 1월 16일

There should be some more exercises for practice.

교육 기관: Devarshi G

2020년 5월 10일

Would've loved if more practice tests were given

교육 기관: Harshit K L

2020년 3월 10일

The Course can be made to cover some more basics

교육 기관: Valerio R

2020년 2월 1일

Please less math calculus in the quitzzes

교육 기관: yasemin c

2020년 1월 7일

Need to be more organized course items

교육 기관: REN F

2020년 4월 5일

Environment never get set up properly

교육 기관: Daniel J B O

2020년 5월 26일

Good refresh of Apache spark

교육 기관: LIN J

2020년 6월 9일

Video is too blur

교육 기관: Adrien P

2020년 3월 22일

très intéressant

교육 기관: skhapijulhossen

2021년 5월 19일

Can be better

교육 기관: Narendra b O

2019년 12월 24일


교육 기관: Julien P

2020년 12월 30일

Content was good even though very basic on statistics, certainly a good intro to Spark. However, final project/quiz was nearly insulting. Code was already written 100%, and most quiz questions were about copy/pasting literal output from pre-written code. Thought a mistake was made at first.

When students follow a course with a serious intent to learn, giving them a final quiz that barely tests their knowledge is a big downer, and makes students feel like they wasted their time learning all this stuff (even though they didn't). Students had proper access to all the code they needed to write 100% of the code themselves for the final quiz. Not sure why everything was done for them in the first place.