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Big Data Applications

Machine Learning at Scale

This course is a part of Big Data for Data Engineers, a 5-course Specialization series from Coursera.

Machine learning is transforming the world around us. To become successful, you’d better know what kinds of problems can be solved with machine learning, and how they can be solved. Don’t know where to start? The answer is one button away. During this course you will: - Identify practical problems which can be solved with machine learning - Build, tune and apply linear models with Spark MLLib - Understand methods of text processing - Fit decision trees and boost them with ensemble learning - Construct your own recommender system. As a practical assignment, you will - build and apply linear models for classification and regression tasks; - learn how to work with texts; - automatically construct decision trees and improve their performance with ensemble learning; - finally, you will build your own recommender system! With these skills, you will be able to tackle many practical machine learning tasks. We provide the tools, you choose the place of application to make this world of machines more intelligent. Special thanks to: - Prof. Mikhail Roytberg, APT dept., MIPT, who was the initial reviewer of the project, the supervisor and mentor of half of the BigData team. He was the one, who helped to get this show on the road. - Oleg Sukhoroslov (PhD, Senior Researcher at IITP RAS), who has been teaching MapReduce, Hadoop and friends since 2008. Now he is leading the infrastructure team. - Oleg Ivchenko (PhD student APT dept., MIPT), Pavel Akhtyamov (MSc. student at APT dept., MIPT) and Vladimir Kuznetsov (Assistant at P.G. Demidov Yaroslavl State University), superbrains who have developed and now maintain the infrastructure used for practical assignments in this course. - Asya Roitberg, Eugene Baulin, Marina Sudarikova. These people never sleep to babysit this course day and night, to make your learning experience productive, smooth and exciting.

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Yandex

Rating 3.4 based on 15 ratings
Length 6 weeks
Effort 5 weeks of study, 6-8 hours/week
Starts Nov 18 (yesterday)
Cost $49
From Yandex via Coursera
Instructors Pavel Mezentsev, Emeli Dral, Vladimir Lesnichenko, Ilya Trofimov, Alexey A. Dral, Evgeny Frolov
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Data Science
Tags Computer Science Data Science Software Development Machine Learning

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What people are saying

According to other learners, here's what you need to know

course contained lots in one review

Course contained lots of new information for me, but exercises were too simple in comparison with other courses of specialization.

decent lecture content in one review

Decent lecture content however.

people made lot in one review

People made lot of work on it...

answer questions both in one review

Lack of clarity on how to answer questions both in quiz and programming Nice course, but the impression about practical tasks is really awful.

at least 10 in one review

The videos are good, it's just the assignments that are frustrating.I spent at least 10 times as long trying to get them to pass the autograder as I did solving them.You need to improve this aspect of the course if you're expecting 4 or 5-star reviews :) The course is interesting and challenging.

deep into technical in one review

Some videos are going way to deep into technical details and not focusing enough on the end goal.

Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

Research Scientist-Machine Learning $55k

Cloud Architect - Azure / Machine Learning $75k

Watson Machine Learning Engineer $81k

Machine Learning Software Developer $103k

Software Engineer (Machine Learning) $116k

Applied Scientist, Machine Learning $130k

Autonomy and Machine Learning Solutions Architect $131k

Applied Scientist - Machine Learning -... $136k

RESEARCH SCIENTIST (MACHINE LEARNING) $147k

Machine Learning Engineer 2 $161k

Machine Learning Scientist Manager $170k

Machine Learning Scientist, Personalization $213k

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Coursera

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Yandex

Rating 3.4 based on 15 ratings
Length 6 weeks
Effort 5 weeks of study, 6-8 hours/week
Starts Nov 18 (yesterday)
Cost $49
From Yandex via Coursera
Instructors Pavel Mezentsev, Emeli Dral, Vladimir Lesnichenko, Ilya Trofimov, Alexey A. Dral, Evgeny Frolov
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Data Science
Tags Computer Science Data Science Software Development Machine Learning

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