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

1,119 évaluations
291 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) or similar or similar for optional lectures...

Meilleurs avis

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.

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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251 - 275 sur 291 Avis pour Scalable Machine Learning on Big Data using Apache Spark

par Gopal I

14 mai 2020

This was a poorly written course that did not explain much of the Spark fundamentals. It was really hard to understand the instructor's line of thought, added with bad instructions and poor resolution videos (tried changing video settings too). In addition although IBM Watson was supposed to be free somehow this ended up as a metered service (different from Course 1). Instructions again were not updated. This course needs a complete revamp.

par Leon B

14 mai 2020

Learn about the diffs between rel-databases, no-sql and blobs on disk. Learn (again!) what mean, stdev, median and kurtosis mean. Plotting with MatPlotLib, brought as the 1st world wonder.

Intro to Spark and your final challenge: execute a provided notebook and just copy-paste the results.

No need to think, just know how to apply CTRL-C & CTRL-V in the end.

Al in all, can be done on a rainy Sunday afternoon instead of 4 weeks.

par Alexander D

12 mars 2020

Don't take this course. It's poorly made, and should not be a part of this specialization unfortunately. I do like the subject matter, but the IBM cloud framework is a headache. I struggled with it and barely passed the final project because some cells wouldn't run.

I did do what I could to absorb the information by looking at the notebook and testing myself, but to be honest, I just wanted to get it over with.

par Mike A

18 sept. 2020

Very disappointed with this course. The class seems like a walk through rather than a platform to actually learn anything of value. It's terribly designed and overall lacks a professional touch (I feel like there is better YouTube content). The professor is hard to understand and seems to want to show off more than actually teach. Wish they would overhaul this course. The final is an absolute joke.

par Timur U

29 mars 2020

The course - Scalable Machine Learning on Big Data using Apache Spark has too complicated instructions for Labs. This course should be more properly organized like another part of IBM Professional Certificate, Intermediate Level - Machine Learning with Python. I don't understand why this course was included to this certificate. I'm not motivated to continue this course.

par Murtaza Z

20 oct. 2020

Complete waste of time. I would not recommend this course to anyone. I feel like I haven't learnt anything meaningful at all. Every concept has been poorly explained and frankly speaking, I don't see how this has helped me at all on my Data Science journey. This course is nothing more than a PR stunt to get more people to use IBM Watson Studio.

par Alexander W

21 mai 2020

The course is a patchwork of incoherent and outdated videos, apparently mostly reused from other courses. Additionally most videos already contain retroactively added comments correcting, mistakes or outdated content. In my opinion it should be obvious that this course requires a complete makeover with updated videos.

par Jafar P

28 juil. 2020

This course could be much better. It is not as clear and explained as the first one "Machine learning with Python". It would be good to keep the same way of explaining. It should be "easy" to understand for someone who has never studied AI before (which is the case for the first course).

par Tong J

22 avr. 2020

Compare with the other course in this professional certificate, this course didn't provide clear information to people want to learn. I spend very tough time on this course comparing to the other courses, I just recommend someone make a better spark course to replace this one.

par Eric

20 janv. 2020

The instructor breezed through course preparation and gave lectures from his car. Very easy course that doesn't challenge you or hold you to any standard of learning. One would be better off learning from YouTube and Apache Spark guides. Don't pay for this course!

par Irfan S

14 juil. 2020

Worst course i have ever took in Coursera. I would request IBM to replace this junk course from IBM AI specialization. This course doesnt teach BigData and neither teach Apache Spark. Too some extent it covers Machine Learning.

par Ali T

23 févr. 2021

I had a bad moment passing this course because the instructor, He is jumping directly to the points without giving a proper introduction about the upcoming topics along with that he is explaining with bad English accent.

par Enrico B

16 août 2020

I am rather unsatisfied of the quality of this module. The pace is too fast and many things remain unclear even at the end of the class. Also I have found appalling that the trainer has broadcasted videos from his car.

par Ashutosh K

22 avr. 2020

very very superficial, there is no way anyone can learn apache spark. I feel like I have wasted so much time but not learnt anything at all. Really disappointing stuff from coursera

par Li

19 avr. 2020

Poor delivery of course material, even worse video.

Instruction on quiz and assignments confusing.

You may get a bit hands-on experience of Spark but you LEARN nothing substantial.

par Pierre-Antoine M

20 avr. 2020

Started nice with the first two "weeks". But week 3 and 4 are jokes with little to no content and final project is just running a pre-existing notebook and reading results

par nauman s

4 août 2020


par Pietro M

5 févr. 2021

The course is awful, avoid it. The instructor is evidently capable, but the course is just improvised, confusing, with lots of errors and not-updated material.

par Karim F U

4 mai 2020

Very poor content quality, nothing to do with the quality of the first module.

new and complex concepts are assumed to be known from the get go.

par Rodrigo F

15 juil. 2020

Can`t believe this module was part of the course. very hard to follow. This course needs to be updated asap. what a waste of time.

par Mohammed K

5 juil. 2020

This course is outdated, topics unclear, I had to jump to Udemy and Udacity to learn Spark.

Hope to see this course updated, Thanks

par Sebastian W

19 avr. 2020

This guy should never teach any person at all.

The videos are very bad processed and the exercises are very bad documented.

par Oussama B

25 févr. 2020

I am really disapointed by this chapter!!!! I learnd nothing, week 2 evaluation is ridiculous I did it with Excel....

par Róbert K

23 févr. 2020

Low-quality videos, not relevant quiz questions. I can set up the same course in one day. Waste of time.