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

IBM의 Scalable Machine Learning on Big Data using Apache Spark 학습자 리뷰 및 피드백

3.8
별점
1,183개의 평가
301개의 리뷰

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) 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...

최상위 리뷰

AC
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.

CL
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 300개 리뷰 중 201~225

교육 기관: Vhui77@gmail.com

2021년 3월 5일

Very hard to understand the instructor. The speech intonation needs to be improved as a first step.

교육 기관: GUSTAVO E Z

2020년 10월 25일

The english accent of Mr Romeo Kienzler is sometimes difficult to understand but knows the program

교육 기관: Michael E

2020년 2월 3일

There was not enough learning about how to use ApacheSpark, it was more of a show what it can do.

교육 기관: Abrar J

2020년 5월 23일

I think representation should be better and provided coding notebook should be self explanatory.

교육 기관: Regi M

2020년 6월 15일

The instructor in this course lacks thorough explanation of the topics being discussed.

교육 기관: Jacobo D L

2020년 10월 18일

would like to have the video examples codes / link to follow the exercises hands on

교육 기관: Jason A

2020년 2월 4일

more hands-on would be nice, rather than having so much of the code pre-written

교육 기관: Bhaskar N S

2020년 4월 4일

Compared to other courses in AI Engineering, this one was a bit too technical

교육 기관: Vitor A

2020년 6월 5일

Content was ok. Not many insights why Apache is better/faster than others.

교육 기관: PRAVIN K R

2020년 7월 21일

Not Clearly Understandable. Lack of Deep Knowledge provided on the course

교육 기관: Sascha B

2020년 7월 26일

Very high level, exercises could have been more challenging and hands-on

교육 기관: Emanuel N

2021년 1월 29일

Me parecio incompleto el curso. Algunos temas debieron extenderse mas.

교육 기관: Tarun

2020년 6월 1일

Concepts not explained well, have to watch videos twice to understand.

교육 기관: Fabio G

2021년 2월 10일

I would add more practise exercises as well as the intended answers

교육 기관: Aaditya M

2020년 6월 26일

Videos are outdated which makes it hard to follow along sometimes.

교육 기관: Wenbo Z

2020년 5월 26일

The contents are not well-organized and sometimes confusing.

교육 기관: ANDRE S M

2020년 8월 1일

The course is outdated. exemples in old version of spark

교육 기관: THOMONT B

2021년 1월 6일

Good content but explanations are not always very clear

교육 기관: Xueling L

2020년 6월 10일

Video is too blurry and so is the content of course.

교육 기관: Ameya K

2021년 1월 11일

Multiple errors in the instructional videos.

교육 기관: P S

2020년 11월 14일

His accent is very difficult to understand.

교육 기관: مجید د

2020년 5월 24일

course video's need a complete revision

교육 기관: Aditya K

2020년 8월 4일

The content is not detailed enough

교육 기관: Gao S

2019년 12월 21일

Instructor accent is strong

교육 기관: Axel A

2020년 8월 22일

Mejorable Course Materials