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

IBM 기술 네트워크의 Scalable Machine Learning on Big Data using Apache Spark 학습자 리뷰 및 피드백

3.8
별점
1,233개의 평가

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 316개 리뷰 중 51~75

교육 기관: Rogerio A

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2020년 6월 24일

Great course. The instructor is simply amazing and so knowlegeable. I definitely recommend this course.

교육 기관: Ratheeshwaraa K

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2020년 5월 6일

This course is structured very well and the assignments and notebook given are really great resource.

교육 기관: Lee Y Y

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2020년 2월 9일

Easy to follow and clear. May introduce more about Apache Spark usage in different fields/industries

교육 기관: Shrinivas S

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2020년 1월 31일

Great Hands-On activity, good pace so you are not lost and complete the learning objectives.

교육 기관: Anushree C

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2021년 5월 24일

I would like to thank all the instructors for preparing such a nice course.

교육 기관: Dhananjay A

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2021년 3월 19일

Great course for conceptual introduction of parallel computing using Apache Spark.

교육 기관: Sadabrata K

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2020년 3월 30일

Good content and the programming assignments really help in applying the concepts.

교육 기관: CHALLA K S N M S

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2020년 8월 9일

Awesome course flow!

Enjoyed while learning and great experience with IBM WATSON.

교육 기관: Harpreet K M

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2020년 7월 4일

A very clear and explained overview of Machine learning using the Apache spark

교육 기관: Vivek R

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2020년 5월 2일

Romeo Kienzler Sir is so helpful for students. there all lectures are great.

교육 기관: Jered W

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2019년 12월 11일

Good instructor. We should probably have more spark coding assignments.

교육 기관: Johanes M L

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2021년 2월 28일

I learnt much about Apache Spark and implement Machine Learning on it

교육 기관: Christopher G

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2020년 1월 3일

Very good and concise introduction to the topic. Thank you very much!

교육 기관: Patricio V

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2020년 5월 23일

Excellent cours and practical, some videos needs to improve quality

교육 기관: Bhaumik J

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2020년 3월 10일

Absolutely great course on Apache Spark for big data analysis!

교육 기관: Kishore K P

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2019년 12월 29일

Good Course who looks for practicals, not for theory classes.

교육 기관: Arijit B

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2021년 2월 20일

Excellent Course, for Apache Spark Platform and ML Pipelines

교육 기관: Benjamin F

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2020년 7월 5일

Very nice introduction and extension of the first course.

교육 기관: Андрей К

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2020년 2월 8일

great and easy pyspark introduction and implementation

교육 기관: Ahmet Ö

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2019년 12월 21일

There should be more practice notebooks and questions

교육 기관: MD I A

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2020년 5월 1일

Excellent courses much interesting statistical part.

교육 기관: Darnesha C

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2020년 1월 28일

I really enjoyed this course! it made learning fun!

교육 기관: CARLOS S

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2020년 2월 11일

This course amplify our vision about Big Data!

교육 기관: Joel G A

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2020년 6월 30일

quite a good course for data science interest

교육 기관: Emilio T

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2021년 1월 29일

good course... everything is well explained

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