Machine learning

Machine learning

A field of computer science enabling computers to learn.

Machine learning is an important sub-area of artificial intelligence. It is a field of computer science that enables computers to learn without being explicitly programmed. When exposed to new data, these computer programs are enabled to learn, grow, change and develop by themselves.

Arthur Samuel, an American pioneer in the field of computer gaming and artificial intelligence, coined the term "Machine Learning" in 1959 while at IBM.

Applications for Machine Learning

  • Automated theorem proving
  • Adaptive websites
  • Affective computing
  • Bioinformatics
  • Brain–machine interfaces
  • Cheminformatics
  • Classifying DNA sequences
  • Computational anatomy
  • Computer networks
  • Computer vision, including object recognition
  • Detecting credit card fraud
  • Economics
  • Financial market analysis
  • General game playing
  • Information retrieval
  • Internet fraud detection
  • Insurance
  • Linguistics
  • Marketing
  • Machine learning control
  • Machine perception
  • Medical diagnosis
  • Natural language processing
  • Natural language understanding
  • Optimization and Metaheuristic
  • Online advertising
  • Recommender systems
  • Robot locomotion
  • Search engines
  • Sentiment analysis (or opinion mining)
  • Sequence mining
  • Software engineering
  • Speech recognition
  • Handwriting recognition
  • Structural health monitoring
  • Syntactic pattern recognition
  • Time series forecasting
  • User behavior analytics
  • Translation

Timeline

People

Name
Role
LinkedIn

Further reading

Title
Author
Link
Type
Date

AWS Machine Learning in Motion

Kesha Williams

Web

Graph-Powered Machine Learning

Alessandro Negro

Web

Grokking Machine Learning

Luis Serrano

Web

How Machine Learning Works

Mostafa Samir Abd El-Fattah

Web

Human-in-the-Loop Machine Learning

Robert Munro

Web

Jason's Machine Learning 101

Jason Mayes

Machine Learning for Business

Doug Hudgeon, Richard Nichol

Web

Machine Learning for Mere Mortals

Nicholas Chase

Web

Machine Learning for Mortals (Mere and Otherwise)

Hefin I. Rhys

Web

Machine Learning in Action

Peter Harrington

Web

Machine Learning Systems

Jeff Smith

Web

Machine Learning with TensorFlow

Nishant Shukla

Web

Probabilistic Deep Learning with Python

Oliver Duerr, Beate Sick, Elvis Murina

Web

Real-World Machine Learning

Henrik Brink, Joseph W. Richards, and Mark Fetherolf

Web

Documentaries, videos and podcasts

Title
Date
Link

Machine Learning | Coursera (Offered by Stanford)

Machine Learning Course | Intellipaat

The TWIML AI Podcast (This Week in Machine Learning and AI Podcast)

June 22, 2020

Companies

Company
CEO
Location
Products/Services

Diwakar Chittora

Bengaluru

E-Learning

News

Title
Author
Date
Publisher
Description
lalorek
August 26, 2020
SiliconHills
The National Science Foundation on Wednesday announced the selection of the University of Texas at Austin to lead the NSF AI Institute for Foundations of Machine Learning. UT is spearheading one of five NSF AI Institutes nationwide and each one will receive $20 million in funding. The UT NSF AI Institute for Foundations and Machine ...
BS Web Team & PTI
June 8, 2020
@bsindia
Hybrid cloud offerings would help businesses migrate, manage and transform mission-critical workloads and applications, with security across public or private cloud and on-premises IT environments
December 4, 2019
WebWire
A new study released by LexisNexis® Risk Solutions found that the majority of the respondents (62%) work for insurance carriers that have already adopted artificial intelligence (AI) and machine learning (ML) initiatives and that an overwhelming majority (75%) believe AI and ML can provide carriers with a competitive advantage through better decision-making. While carriers are generally positive about their use of Artificial Intelligence and Machine Learning (AI/ML), implementation do...
November 28, 2019
WebWire
In the last decade, mobile service providers, device makers and Internet companies built a virtual second world for us to live, work and play in - a digital one. At the start of this new decade, Telenor Group's research arm believes that people will reflect more on how our real world and this new digital reality should safely and productively intersect. "Many of the trends we spotlight for next year show innovation charging ahead faster than ever, enabled by more access and more demand, a...
ANI
November 12, 2019
@bsindia
Read more about From self-drive cars to IoT, these next-wave techs will rule 2020s decade on Business Standard. New Delhi [India], Nov 12 (ANI): For the first time human life changed significantly in the 20th century after several centuries of incremental progress. After hundreds of years of social, economic and political change, technology was the harbinger
Gul Deniz Salali
October 21, 2019
Scientific American Blog Network
They acquire knowledge in remarkably similar ways
September 26, 2019
WebWire
, , , , • Both companies will co-invest up to 250 k€ for each startup , , , , , , , , , , • The main interest areas are Artificial Intelligence, Machine Learning, Internet of Things, Video, Cybersecurity, Edge Computing among others. , , , , , , Wayra, the open innovation hub network by Telefónica, and TheVentureCity, the global accelerator of technological ecosystems with headquarters in Madrid and Miami, have signed a global deal to jointly invest in Latin-American startups focused on the Internet o...
June 3, 2019
WebWire
Atos reveals the 3 finalists of the Atos IT Challenge, an international student technology competition now running for the eighth year. This year's theme focuses on how Artificial Intelligence and Machine Learning technologies can support sustainable development. It generated particularly innovative ideas from teams from 20 countries around the globe. The jury, composed of renowned experts and Atos top executives [1], has selected the following three projects, presented here in alphab...
May 20, 2019
WebWire
New York, NY--Ticonderoga Ventures, Inc. announces that Whirl Software will speak at the iDate Premium International Dating and Dating Agency Conference ( https :// datingagencyconference. com ) at the IQ Business Center in Kiev on May 22-24, 2019., , , , Oleg Protsenko, Delivery Lead from Whirl Software will speak about the Data Intelligence technology, in particular, how the AI, Machine Learning, Big Data, and data-driven development can be used for user modeling and finding prospec...
Research and Markets
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DUBLIN, Feb. 14, 2019 /PRNewswire/ -- The "Multichannel Order Management Market by Solution (Software & Services), Deployment Type (Cloud & On-Premises),...
Research and Markets
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www.prnewswire.com:443
DUBLIN, Feb. 14, 2019 /PRNewswire/ -- The "Digital Process Automation Market by Component, Business Function (Sales Process Automation, Supply Chain...
Evans Data Corporation
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www.prnewswire.com:443
SANTA CRUZ, Calif., Dec. 11, 2018 /PRNewswire/ -- Enterprise Resource Planning (ERP) is the top target cited by developers actively working with Artificial...
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