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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

3.9
816 個評分
202 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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CL

Dec 12, 2019

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.

M

May 01, 2020

I like the example given and step by step tutorial given. The explanation of why things are the way they are designed certainly helped me understand the concept. Kudos.

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101 - Scalable Machine Learning on Big Data using Apache Spark 的 125 個評論(共 203 個)

創建者 JOSE J M C

May 25, 2020

Instructor pronunciation is not the best for someone who are not usually listening explain so fast.

創建者 Jochen G

Jan 15, 2020

Cool course with a slow paced start and then interesting examples to work with Apache Spark ML.

創建者 Yash k

Jun 27, 2020

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

創建者 Zijie

May 21, 2020

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

創建者 Roberto M

Jun 16, 2020

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

創建者 YERRAMOTHU G S

Apr 01, 2020

TRAINER IS GOING BIT FASTER BUT HAD FUN WITH THIS COURSE THANK YOU

創建者 Vijander S

Apr 01, 2020

the programming environment is complex it should be explained

創建者 Maurício C B

May 27, 2020

Precisa ser atualizado. Possui correções em alguns vídeos.

創建者 fulvio c

Jun 09, 2020

The lines of code provided are extremely valuable.

創建者 Utkarsh B

Jan 16, 2020

There should be some more exercises for practice.

創建者 Devarshi G

May 10, 2020

Would've loved if more practice tests were given

創建者 Harshit K L

Mar 10, 2020

The Course can be made to cover some more basics

創建者 Valerio R

Feb 01, 2020

Please less math calculus in the quitzzes

創建者 ycey

Jan 07, 2020

Need to be more organized course items

創建者 REN F

Apr 05, 2020

Environment never get set up properly

創建者 Daniel J B O

May 27, 2020

Good refresh of Apache spark

創建者 LIN J

Jun 10, 2020

Video is too blur

創建者 Tchuya P A

Mar 22, 2020

très intéressant

創建者 Narendra b O

Dec 24, 2019

.

創建者 Anna A

Apr 17, 2020

If you have some experience with python or ML - it is an easy course to follow but seems not to be deep enough. If you are begginer in these field I do not reccomed the cource.

Not really systematic. The only thing it does: of you have and experience with python and ML it let you taske Spark. But all you skills seems to be not really used. Also the concepts of sparks seems to be hardly touched. I would call the course "Hello world"

if you are a begginner: you will not learn about ML or python. Some concepts are explained on simlpfied level that could lead to misleading.

Tests and actual topic seems to be unrelated

創建者 Vladimir G

Jan 19, 2020

Good day whoever reads this!

First of all I'd like to say thank you for the course. This topic is pretty interesting for me and I move through this course with interest. IF you would update videos according python 3.6++ as in notebooks it would be much easier to learn and get into things. Also final assignment seems a too easy.

Also quality of sound and videos varies from week to week, and sometimes even from lesson to lesson during one week.

Good day and best luck!

創建者 antonio g

May 05, 2020

In my opinion, the quality of the videos is not good, and while the teacher explains sharing his display, the display is fog and it is so difficult to see what is doing with the code.

In addition, some classes are recorded from a teacher´s car, I may understand that in some countries it could be usual, but in another one is a signal of non-professional behaviour.

創建者 Julian S

May 09, 2020

Its only a part of a longer course. I would have prefered the longer version without getting the feeling of missing half of the story. The final Project did not feel like i did it my self. The answers of the last to questions in the correspondig test where strange (wrong?). Nevertheless I got the feeling that the full course would have been really nice ;)

創建者 Debayan P

Jun 05, 2020

The Course is complicated to understand for beginners. The introduction and many concepts could be more clarified at a slower pace. It would be better if the instructor could use a bit more time to teach the concepts and explain the concept of the Spark environment in general. Otherwise, the instructor has put a valiant effort.

創建者 Bo T

Mar 29, 2020

Some of the content could have been presented more clearly and recorded in the same manner consistently, few items seemed to repeat also while other are not covered well. The code walk thought should have been better explained and with less errors/clarifications which are later explained through video quiz or overlays.