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Machine Learning for Data Science and Analytics

Machine Learning is a growing field that is used when searching the web, placing ads, credit scoring, stock trading and for many other applications.

This data science course is an introduction to machine learning and algorithms. You will develop a basic understanding of the principles of machine learning and derive practical solutions using predictive analytics. We will also examine why algorithms play an essential role in Big Data analysis.

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Columbia University

Rating 3.0 based on 15 ratings
Length 5 weeks
Effort 7 - 10 hours per week
Starts May 18 (last week)
Cost $99
From Columbia University, ColumbiaX via edX
Instructors Professor Ansaf Salleb-Aouissi, Cliff Stein, David Blei, Itsik Peer, Mihalis Yannakakis, Peter Orbanz, Ansaf Salleb-Aouissi
Download Videos On all desktop and mobile devices
Language English
Subjects Business Programming Data Science
Tags Business & Management Computer Science Data Analysis & Statistics Engineering

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What people are saying

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

for this course in 2 reviews

do not pay for in one review

DO NOT PAY FOR THIS COURSE!!!

will get ripped off in one review

YOU WILL GET RIPPED OFF!!!

bit bigger than expected in one review

Although the proportion of algorithms is bit bigger than expected but the course does provide a good overview of the field.

its syllabus ran like in one review

There's no clear objective for this course and its syllabus ran like an extended introduction to everything and anything we can think off.

stats work together which in one review

It helped me understand ML little by little resolving lots of confusions about how ml and stats work together which were not removed in may other courses that I took online.

like an earlier reviewer in one review

Like an earlier reviewer said, it is unclear who this course is meant to be for, and the outcome they aim to help learners achieve.

another one given in one review

Of course you can expect some differences from a speaker to another one given the large number of speakers and the many covered topics, however, despite this, this course has worked for me.

expect some differences in one review

scientist over night in one review

It is of course not realistic to assume that it will make you a data scientist over night but it is a good platform to start with.

already familiar in one review

The lectures are nice and the material is very interesting, but they assume you are already familiar with the material.

clear objective in one review

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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edX

&

Columbia University

Rating 3.0 based on 15 ratings
Length 5 weeks
Effort 7 - 10 hours per week
Starts May 18 (last week)
Cost $99
From Columbia University, ColumbiaX via edX
Instructors Professor Ansaf Salleb-Aouissi, Cliff Stein, David Blei, Itsik Peer, Mihalis Yannakakis, Peter Orbanz, Ansaf Salleb-Aouissi
Download Videos On all desktop and mobile devices
Language English
Subjects Business Programming Data Science
Tags Business & Management Computer Science Data Analysis & Statistics Engineering

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