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

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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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par Lewis m

11 nov. 2019

par Ruslan I M V

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par Nicolás F

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par Benhur O J

8 oct. 2019

par Pierre P

1 avr. 2020

par Syazwan Z

8 déc. 2019

par Batyr A

24 janv. 2020

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23 nov. 2019

par Petr J

13 janv. 2020

par Jay P

29 sept. 2019

par Philippe D

23 oct. 2019

par Yasser E H

27 oct. 2019

par Abdelrahman G E F

16 sept. 2019

par Denis U

3 janv. 2020

par Suresh C

2 nov. 2019

par Ujjwal G

11 nov. 2019

par Gherbi H

15 nov. 2019

par Farrukh N A

6 nov. 2019

par Justin M

15 déc. 2019

par Jair J C C

19 oct. 2019

par RICARDO H R

14 juil. 2020

par Amit T

24 sept. 2019

par Waqas K O

30 sept. 2019

par Andrey K

8 juil. 2020

par Adrian I

22 sept. 2020