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

IBM의 Scalable Machine Learning on Big Data using Apache Spark 학습자 리뷰 및 피드백

3.9
별점
835개의 평가
210개의 리뷰

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

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.

필터링 기준:

Scalable Machine Learning on Big Data using Apache Spark의 209개 리뷰 중 26~50

교육 기관: Vedant B

May 15, 2020

just awsome and very very informative ...specially the whole process was done on the spachespark environment on the IBM-watson studio where whole processing is take placd on the working-nodes of the apacheSpark cluster under the Apache driver manager parallely, and most prefereble dataset format is used here is '*.parquet'(HDFS)

all is really essential to become datascientist, in the last thanks to instructor

교육 기관: Charles B

Jun 08, 2020

Romeo explains these topics perfectly. If you take this class along with maybe one or two other applied machine learning classes I am sure you will feel very confident with the material. My only piece of advice would be to always follow along in your own notebooks and question what every.single.line does

교육 기관: SYED A A S

Apr 16, 2020

One of The Best Course I seen that combine Machine Learning with Apache Spark with awesome tutorial along with using IBM Watson studio which really help me to complete my course with one of the best tool along with the documentations. And really help any problem what i face so far using this course.

교육 기관: Wei J ( T

Jan 30, 2020

I should not comment the way how this lecture has been carried out... HOWEVER, it does bring actual tooling skills and makes it interesting to use those instruments for real life situation. Highly recommended. Make your model maybe can be your crystal ball.

교육 기관: A A A

Jul 06, 2020

Romeo Kienzler! Thank you so much! This course showed the complexity of parallel computing and introduced Functional Programming in a very simplified and understandable way. The way statistics was explained, was something I couldn't even get from college.

교육 기관: Karim V

Feb 11, 2020

Learned several new skills. Instructor did an excellent job of explaining the concepts starting with the notion of big data and showing us how to run ML algorithms on apache spark and use of pipelines.

교육 기관: ANGEL G C

Mar 26, 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.

교육 기관: charles l

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.

교육 기관: Mohd N K

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.

교육 기관: Arshdeep S

May 30, 2020

It was a great experience , learned a lot about Apache Spark, Programming assignments helped a lot in grasping the concepts

교육 기관: Adaobi A

Jun 17, 2020

The videos were not so awesome, but the curse was superb overall. It really addressed the intricacies of large data.

교육 기관: Moez B

Dec 31, 2019

Good course. Beginner level, it starts slow and gets better in weeks 3 and 4. Instructor is very helpful.

교육 기관: Rogerio A

Jun 24, 2020

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

교육 기관: RATHEESHWARAA K

May 06, 2020

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

교육 기관: Lee Y Y

Feb 09, 2020

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

교육 기관: Shrinivas S

Jan 31, 2020

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

교육 기관: Sadabrata K

Mar 30, 2020

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

교육 기관: Harpreet K M

Jul 05, 2020

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

교육 기관: Vivek R

May 02, 2020

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

교육 기관: Jered W

Dec 11, 2019

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

교육 기관: Christopher G

Jan 03, 2020

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

교육 기관: Patricio V

May 23, 2020

Excellent cours and practical, some videos needs to improve quality

교육 기관: Bhaumik J

Mar 10, 2020

Absolutely great course on Apache Spark for big data analysis!

교육 기관: Kishore K P

Dec 29, 2019

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

교육 기관: Benjamin F

Jul 05, 2020

Very nice introduction and extension of the first course.