Share
VIDEOS 1 TO 50
List of Machine Learning Algorithm(Regression, Decision Tree, Association Rule Mining)  Part 18
List of Machine Learning Algorithm(Regression, Decision Tree, Association Rule Mining) Part 18
Published: 2016/08/04
Channel: MyStudy
List of Machine Learning Algorithm(Neural network, PCA, Ensemble Algorithm) Part 19
List of Machine Learning Algorithm(Neural network, PCA, Ensemble Algorithm) Part 19
Published: 2016/08/05
Channel: MyStudy
Machine Learning with Scikit-Learn - The Cancer Dataset - 4 - Process Outline
Machine Learning with Scikit-Learn - The Cancer Dataset - 4 - Process Outline
Published: 2017/03/14
Channel: Cristi Vlad
1. Hubness-aware machine learning: outline, nearest neighbor classification
1. Hubness-aware machine learning: outline, nearest neighbor classification
Published: 2015/07/17
Channel: Krisztian Buza
Machine Learning course- Shai Ben-David: Lecture 1
Machine Learning course- Shai Ben-David: Lecture 1
Published: 2015/01/20
Channel: Understanding Machine Learning - Shai Ben-David
How Machine Learning Can Cut Insurance Premiums
How Machine Learning Can Cut Insurance Premiums
Published: 2016/09/07
Channel: Raj Ramesh
Cancer Test - Intro to Machine Learning
Cancer Test - Intro to Machine Learning
Published: 2015/02/23
Channel: Udacity
Zero-Shot Learning - Dr. Timothy Hospedales
Zero-Shot Learning - Dr. Timothy Hospedales
Published: 2015/10/23
Channel: Компьютерные науки
Practical Machine Learning in Ruby
Practical Machine Learning in Ruby
Published: 2016/12/14
Channel: edutechional
Frameworks for Distributed Machine Learning
Frameworks for Distributed Machine Learning
Published: 2016/07/08
Channel: Microsoft Research
Representation - Georgia Tech - Machine Learning
Representation - Georgia Tech - Machine Learning
Published: 2015/02/23
Channel: Udacity
ISIT 2015 Tutorial: Information Theory Meets Machine Learning (1/3)
ISIT 2015 Tutorial: Information Theory Meets Machine Learning (1/3)
Published: 2017/05/08
Channel: IEEE Information Theory Society
Scale R to Big Data Using Hadoop and Spark - Phuc H Duong
Scale R to Big Data Using Hadoop and Spark - Phuc H Duong
Published: 2016/06/17
Channel: Data Science Dojo
Data Science & Machine Learning - R Data Visualization Basics - DIY- 9 -of-50
Data Science & Machine Learning - R Data Visualization Basics - DIY- 9 -of-50
Published: 2017/04/20
Channel: BharatiDWConsultancy
1.5 - Outline of first half of course [Machine Learning: Classification]
1.5 - Outline of first half of course [Machine Learning: Classification]
Published: 2017/08/19
Channel: Marvin Lindell
Machine Learning and Machine Translation
Machine Learning and Machine Translation
Published: 2008/10/24
Channel: GoogleTechTalks
Machine Learning Course - Lecture 9
Machine Learning Course - Lecture 9
Published: 2016/08/12
Channel: Microsoft Research
Tutorial: Climate Change: Challenges for Machine Learning
Tutorial: Climate Change: Challenges for Machine Learning
Published: 2016/08/18
Channel: Microsoft Research
AWS re:Invent 2016: Fraud Detection with Amazon Machine Learning on AWS (FIN301)
AWS re:Invent 2016: Fraud Detection with Amazon Machine Learning on AWS (FIN301)
Published: 2016/11/30
Channel: Amazon Web Services
Classifying Handwritten Digits with TF.Learn - Machine Learning Recipes #7
Classifying Handwritten Digits with TF.Learn - Machine Learning Recipes #7
Published: 2016/08/16
Channel: Google Developers
Embracing a Taxonomy of Types to Simplify Machine Learning - Leah McGuire
Embracing a Taxonomy of Types to Simplify Machine Learning - Leah McGuire
Published: 2017/06/14
Channel: Databricks
1.6 - Outline of second half of course [Machine Learning: Classification]
1.6 - Outline of second half of course [Machine Learning: Classification]
Published: 2017/08/19
Channel: Marvin Lindell
Sparse Methods for Machine Learning: Theory and Algorithms
Sparse Methods for Machine Learning: Theory and Algorithms
Published: 2012/12/11
Channel: VideoLecturesChannel
Andreas Mueller: Machine Learning with scikit learn
Andreas Mueller: Machine Learning with scikit learn
Published: 2015/12/04
Channel: PyData
Shawn Scully: Production and Beyond: Deploying and Managing Machine Learning Models
Shawn Scully: Production and Beyond: Deploying and Managing Machine Learning Models
Published: 2015/12/04
Channel: PyData
IETF 93 - Thursday Lunch Presentation - Recent Advances in Machine Learning
IETF 93 - Thursday Lunch Presentation - Recent Advances in Machine Learning
Published: 2015/07/23
Channel: IETF - Internet Engineering Task Force
Human-centric machine learning.
Human-centric machine learning.
Published: 2016/06/22
Channel: Microsoft Research
Using Machine Learning Classifiers to Define Personas
Using Machine Learning Classifiers to Define Personas
Published: 2016/09/12
Channel: Team Coria
Machine Learning for Robotics
Machine Learning for Robotics
Published: 2012/11/02
Channel: VideoLecturesChannel
Keynote Applying Recent Advances in Machine Learning to Networking- Dave Meyer
Keynote Applying Recent Advances in Machine Learning to Networking- Dave Meyer
Published: 2016/10/20
Channel: OpenDaylight Project
DSN 2014 Keynote: "Sibyl: A System for Large Scale Machine Learning at Google"
DSN 2014 Keynote: "Sibyl: A System for Large Scale Machine Learning at Google"
Published: 2014/06/27
Channel: Tech Talk
Ian Goodfellow- Machine Learning Privacy and Security AIWTB 2017
Ian Goodfellow- Machine Learning Privacy and Security AIWTB 2017
Published: 2017/05/17
Channel: With The Best
Writing Our First Classifier - Machine Learning Recipes #5
Writing Our First Classifier - Machine Learning Recipes #5
Published: 2016/06/08
Channel: Google Developers
Continuous Optimization of MIcroservices using Machine Learning by Ramki Ramakrishna
Continuous Optimization of MIcroservices using Machine Learning by Ramki Ramakrishna
Published: 2017/04/19
Channel: Devoxx
Intel Accelerates Machine Learning
Intel Accelerates Machine Learning
Published: 2016/06/29
Channel: overheardinpdx
Lecture 10 - Neural Networks
Lecture 10 - Neural Networks
Published: 2012/05/06
Channel: caltech
[PURDUE MLSS] Machine Learning for Discovery in Legal Cases by David D. Lewis
[PURDUE MLSS] Machine Learning for Discovery in Legal Cases by David D. Lewis
Published: 2011/11/30
Channel: Purdue University
Machine Learning with Scikit-Learn - The Cancer Dataset - 16 - Random Forests 1
Machine Learning with Scikit-Learn - The Cancer Dataset - 16 - Random Forests 1
Published: 2017/04/28
Channel: Cristi Vlad
Introduction Data Science Machine Learning
Introduction Data Science Machine Learning
Published: 2017/08/14
Channel: Mationalytics
Machine Learning Classification kNN in R (Breast Cancer)
Machine Learning Classification kNN in R (Breast Cancer)
Published: 2017/04/26
Channel: Data Scientist PakinJa
#بتاع_كله سيطرة الحوسبة - Machine Learning - كورسات ببلاش
#بتاع_كله سيطرة الحوسبة - Machine Learning - كورسات ببلاش
Published: 2016/07/22
Channel: Mostafa Saady مصطفى سعدي
Lecture 01 - The Learning Problem
Lecture 01 - The Learning Problem
Published: 2012/08/28
Channel: caltech
Popular Data Science Machine Learning Concepts
Popular Data Science Machine Learning Concepts
Published: 2017/08/14
Channel: Mationalytics
Lecture 02 - Is Learning Feasible?
Lecture 02 - Is Learning Feasible?
Published: 2012/04/09
Channel: caltech
Genetic Algorithms 3/30: Outline of the Basic Genetic Algorithm
Genetic Algorithms 3/30: Outline of the Basic Genetic Algorithm
Published: 2015/03/08
Channel: Noureddin Sadawi
Scikit Learn Linear SVC Example Machine Learning Tutorial with Python p. 11
Scikit Learn Linear SVC Example Machine Learning Tutorial with Python p. 11
Published: 2015/01/02
Channel: sentdex
Samy Bengio: A note of caution about training sequence prediction/generation models
Samy Bengio: A note of caution about training sequence prediction/generation models
Published: 2016/06/29
Channel: artwithMI
Mutual Information - Georgia Tech - Machine Learning
Mutual Information - Georgia Tech - Machine Learning
Published: 2015/02/23
Channel: Udacity
MIT 6.S094: Deep Reinforcement Learning for Motion Planning
MIT 6.S094: Deep Reinforcement Learning for Motion Planning
Published: 2017/01/22
Channel: Lex Fridman
Machine Learning Support in Apache Apex (Next Gen Hadoop) with Apache SAMOA
Machine Learning Support in Apache Apex (Next Gen Hadoop) with Apache SAMOA
Published: 2017/02/14
Channel: DataTorrent
NEXT
GO TO RESULTS [51 .. 100]

WIKIPEDIA ARTICLE

From Wikipedia, the free encyclopedia
  (Redirected from List of machine learning concepts)
Jump to: navigation, search

The following outline is provided as an overview of and topical guide to machine learning:

Machine learning – subfield of computer science[1] (more particularly soft computing) that evolved from the study of pattern recognition and computational learning theory in artificial intelligence.[1] In 1959, Arthur Samuel defined machine learning as a "Field of study that gives computers the ability to learn without being explicitly programmed".[2] Machine learning explores the study and construction of algorithms that can learn from and make predictions on data.[3] Such algorithms operate by building a model from an example training set of input observations in order to make data-driven predictions or decisions expressed as outputs, rather than following strictly static program instructions.

What type of thing is machine learning?[edit]

Branches of machine learning[edit]

Subfields[edit]

Cross-disciplinary fields[edit]

Machine learning hardware[edit]

Machine learning tools[edit]

Proprietary frameworks[edit]

Open source frameworks[edit]

Machine learning libraries[edit]

Machine learning methods[edit]

Supervised learning[edit]

Artificial neural network[edit]

Bayesian[edit]

Decision tree[edit]

Linear classifier[edit]

Unsupervised learning[edit]

Artificial neural network[edit]

Association rule learning[edit]

Hierarchical clustering[edit]

Cluster analysis[edit]

Anomaly detection[edit]

Semi-supervised learning[edit]

Reinforcement learning[edit]

Deep learning[edit]

Others[edit]

Applications of machine learning[edit]

Machine learning problems and tasks[edit]

Machine learning research[edit]

History of machine learning[edit]

Machine learning projects[edit]

Machine learning organizations[edit]

Machine learning venues[edit]

Machine learning conferences and workshops[edit]

Machine learning journals[edit]

Persons influential in machine learning[edit]

See also[edit]

Further reading[edit]

References[edit]

  1. ^ a b http://www.britannica.com/EBchecked/topic/1116194/machine-learning  This tertiary source reuses information from other sources but does not name them.
  2. ^ Phil Simon (March 18, 2013). Too Big to Ignore: The Business Case for Big Data. Wiley. p. 89. ISBN 978-1-118-63817-0. 
  3. ^ Ron Kohavi; Foster Provost (1998). "Glossary of terms". Machine Learning. 30: 271–274. 
  4. ^ http://www.learningtheory.org/

External links[edit]

Disclaimer

None of the audio/visual content is hosted on this site. All media is embedded from other sites such as GoogleVideo, Wikipedia, YouTube etc. Therefore, this site has no control over the copyright issues of the streaming media.

All issues concerning copyright violations should be aimed at the sites hosting the material. This site does not host any of the streaming media and the owner has not uploaded any of the material to the video hosting servers. Anyone can find the same content on Google Video or YouTube by themselves.

The owner of this site cannot know which documentaries are in public domain, which has been uploaded to e.g. YouTube by the owner and which has been uploaded without permission. The copyright owner must contact the source if he wants his material off the Internet completely.

Powered by YouTube
Wikipedia content is licensed under the GFDL and (CC) license