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Retour à Scalable Machine Learning on Big Data using Apache Spark

Avis et commentaires pour d'étudiants pour Scalable Machine Learning on Big Data using Apache Spark par IBM

3.8
étoiles
1,219 évaluations
308 avis

À propos du cours

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...

Meilleurs avis

AC
25 mars 2020

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
11 déc. 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.

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151 - 175 sur 309 Avis pour Scalable Machine Learning on Big Data using Apache Spark

par HoangVan N

5 janv. 2021

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

par Zijie

20 mai 2020

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

par Roberto M

16 juin 2020

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

par YERRAMOTHU G S

1 avr. 2020

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

par Vijander S

1 avr. 2020

the programming environment is complex it should be explained

par Maurício C B

27 mai 2020

Precisa ser atualizado. Possui correções em alguns vídeos.

par Ilham R

2 août 2020

this is a complicated course especially for beginners

par Víctor M F S

14 août 2021

Quizas alguna propuesta de ejercicios menos guiados

par fulvio c

8 juin 2020

The lines of code provided are extremely valuable.

par Utkarsh B

16 janv. 2020

There should be some more exercises for practice.

par Devarshi G

10 mai 2020

Would've loved if more practice tests were given

par Harshit K L

10 mars 2020

The Course can be made to cover some more basics

par Valerio R

1 févr. 2020

Please less math calculus in the quitzzes

par yasemin c

7 janv. 2020

Need to be more organized course items

par REN F

5 avr. 2020

Environment never get set up properly

par Daniel J B O

26 mai 2020

Good refresh of Apache spark

par LIN J

9 juin 2020

Video is too blur

par Adrien P

22 mars 2020

très intéressant

par SK H H

19 mai 2021

Can be better

par Narendra b O

24 déc. 2019

.

par Julien P

30 déc. 2020

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.

par Anna A

17 avr. 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

par Vladimir G

19 janv. 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!

par Peer B

17 déc. 2020

The course was presented well by an enthusiastic instructor. The material covered was very good. Unfortunately the course did not offer challenging coding assignments to help the student really embrace and exercise the Apache Spark system. The graphics at times were blurry and hard to read. Suggestion: Maybe incorporate some coding assignments that are graded by the community of students in conjunction with the various tests in place now.

par Luis C

31 mars 2021

It is a quite basic course and the overall quality of it is not very high. There are several errors in the slides which are corrected on the go.

It is good that you get your hands dirty and have the opportunity to play around with the development environment. However, the ML algorithms and models are not very well explained in the videos and I missed deeper explanations.