Courses for Machine Language

955 free courses & lectures available for Machine Language

Machine Design Part I

by Dr. Kathryn Wingate on Coursera

Duration: 0 hours

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4.8

Very Good ( 386 Reviews )

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About Instructor(s):
Dr. Kathryn Wingate (Academic Professional),
Georgia Institute of Technology

Big Data Applications: Machine Learning at Scale

by Vladimir Lesnichenko, Pavel... on Coursera

Duration: 40 hours

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Very Good ( 5 Reviews )

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About Instructor(s):
Vladimir Lesnichenko ,
Yandex
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Machine Learning Foundations: A Case Study Approach

by Carlos Guestrin, Emily Fox on Coursera

Duration: 48 hours

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4.6

Very Good ( 6,400 Reviews )

Details:
Korean, Vietnamese, Chinese (Simplified) Captions

About Instructor(s):
Carlos Guestrin (Amazon Professor of Machine Learning),
University of Washington
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Bayesian Methods for Machine Learning

by Daniil Polykovskiy, Alexand... on Coursera

Duration: 36 hours

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4.4

Very Good ( 43 Reviews )

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About Instructor(s):
Daniil Polykovskiy (Researcher),
National Research University Higher School of Economics
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Machine Learning for Data Analysis

by , Lisa Dierker on Coursera

Duration:

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4.1

Very Good ( 163 Reviews )

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About Instructor(s):
,

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Big Data: Statistical Inference and Machine Learning

by Kerrie Mengersen on Future Learn

Duration: 6 hours

Learn how to apply selected statistical and machine learning techniques and tools to analyse big data.

Details:
English Captions

About Instructor(s):
Kerrie Mengersen ,
I’m a Professor at QUT and a Deputy Director of ACEMS. M...

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Machine Learning

by Charles Isbell Jr. on Edx Edx

Duration: 126 hours

Learn about machine learning, the area of artificial intelligence (AI) that is concerned with computational artifacts that modify and improve performance through experience.

Details:
English Captions

About Instructor(s):
Charles Isbell Jr. (Executive Associate Dean and Professor),
The Georgia Institute of Technology

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Machine Learning Fundamentals

by Sanjoy Dasgupta on Edx Edx

Duration: 80 hours

Understand machine learning’s role in data-driven modeling, prediction, and decision-making.

Details:
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About Instructor(s):
Sanjoy Dasgupta (Professor of Computer Science and Engineering),
UC San Diego

Dynamic Programming: Applications In Machine Learning and Genomics

by Phillip Compeau, Pavel Pevzner on Edx Edx

Duration: 36 hours

Learn how dynamic programming and Hidden Markov Models can be used to compare genetic strings and uncover evolution.

Details:
English Captions

About Instructor(s):
Phillip Compeau (Assistant Teaching Professor),
Carnegie Mellon University
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Machine Learning

by Charles Isbell on Edx Edx

Duration: 126 hours

Learn about machine learning, the area of artificial intelligence (AI) that is concerned with computational artifacts that modify and improve performance through experience.