Chevron Left
Volver a Scalable Machine Learning on Big Data using Apache Spark

Opiniones y comentarios de aprendices correspondientes a Scalable Machine Learning on Big Data using Apache Spark por parte de Habilidades en redes de IBM

1,242 calificaciones

Acerca del Curso

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...

Principales reseñas


25 de mar. de 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.


11 de dic. de 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.

Filtrar por:

251 - 275 de 316 revisiones para Scalable Machine Learning on Big Data using Apache Spark

por Nils N

24 de mar. de 2020

por Nazmul H

20 de dic. de 2020

por Claudio C

27 de abr. de 2020

por Juho H

23 de abr. de 2020

por Camilo F P

9 de sep. de 2020

por Esteban H E

28 de ene. de 2020

por Friscian V C

7 de jul. de 2020

por vikram s

3 de jul. de 2020

por shiva k P

11 de ene. de 2021

por suman k s

17 de may. de 2020

por Billy

16 de ene. de 2020

por DK N

20 de ene. de 2021

por tamador a

3 de jun. de 2020

por Harsh K

12 de abr. de 2020

por Branly F L

14 de feb. de 2020

por Victor B

22 de mar. de 2020

por kexin

1 de ene. de 2020

por Kirivitige A S F

7 de abr. de 2020

por Alistair K

4 de jun. de 2020

por Narasimhan, S

21 de ago. de 2020

por Samuel K

19 de ene. de 2020

por Gopal I

14 de may. de 2020

por Leon B

14 de may. de 2020

por Alexander D

12 de mar. de 2020