Golden Recursion Inc. logoGolden Recursion Inc. logo
Advanced Search
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.

Neural networks

Artificial neural network (ANN) processing devices can be algorithms or actual hardware that are loosely modeled after the neuronal structure of the mammalian cerebral cortex. Neural networks are used in the branch of machine learning called deep learning.

Deep learning frameworks

A Deep Learning Framework is an interface, library or a tool which allows users to build deep learning models more easily and quickly, without getting into the details of underlying algorithms. Libraries are useful for individuals who want to implement Deep Learning techniques but don’t have robust fluency in back-propagation, linear algebra or computer math.

Reinforcement learning

Reinforcement learning is an area of machine learning focusing on developing agents that can learn from their environment over time by taking actions and receiving rewards.

Supervised learning

Supervised learning is a type of machine learning in which data is fully labelled and algorithms learn to approximate a mapping function well enough that they can accurately predict output variables given new input data. This section contains supervised learning techniques. For example, Support Vector Machine (SVM), is a type of algorithm that is a discriminative classifier formally defined by a separating hyperplane used for regression and classification tasks.

Decision trees

A decision tree is a model for supervised learning that can construct a non-linear decision boundary over the feature space. Decision trees are represented as hierarchical models of "decisions" over the feature space, making them powerful models that are also easily interpretable.

Unsupervised learning

Unsupervised learning is a branch of machine learning focused on structuring data that has not been labeled.

Clustering

In unsupervised machine learning, clustering is the process of grouping similar entities together in order to find similarities in the data points and group similar data points together.

Ensemble learning

Ensemble methods are meta-algorithms that combine several machine learning techniques into one predictive model. The purpose is to decrease variance (bagging), bias (boosting), or improve predictions (stacking).

Dimensionality reduction

Machine learning classification problems when there are too many factors or variables, also called features. When most of the features are correlated or redundant, dimensionality reduction algorithms are used to reduce the number of random variables. Certain features are selected and others are extracted.

Parameterized statistical models

Machine learning models are parameterized to tune their behavior for a given problem. Noise contrastive estimation (NCE) is an estimation principle for parameterized statistical models. NCE is a way of learning a data distribution by comparing it against a defined noise distribution. The technique is used to cast an unsupervised problem as a supervised logistic regression problem. NCE is often used to train neural language models in place of Maximum Likelihood Estimation.

Applications for Machine Learning

Timeline

Further Resources

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

News

Title
Author
Date
Publisher
Description
Brand Post
September 16, 2021
CIO
Powered by machine learning, Rubrik enables businesses to respond quickly to the latest threats automatically and minimize business disruption and data loss. They can effectively gather a clear picture and better insight into the anomalies that impact their environment regularly.
July 22, 2021
WebWire
Blackstone (NYSE:BX) announced that private equity funds managed by Blackstone ("Blackstone") have entered into a definitive agreement to acquire a controlling stake in Simplilearn Solutions Pvt. Ltd., a leading online learning 'bootcamp' based in India offering digital skills training and courses to working professionals all over the world. Simplilearn was founded in 2010 by its Chief Executive Officer Krishna Kumar. Profitable for the fourth year in a row, the platform offers over 100...
Ishan Patra
July 16, 2021
The Hindu
AWS executive Kanishka Agiwal, shared his thoughts on Machine Learning - its applications, growing adoption in different sectors, function in the future, as well as AWS' role in building and supporting the ML ecosystem.
Insilico Medicine Hong Kong Limited
June 22, 2021
www.prnewswire.com:443
/PRNewswire/ -- Insilico Medicine, a global leader in end-to-end artificial intelligence for target discovery, small molecule chemistry, and clinical...
The JG Wentworth Company
April 27, 2021
www.prnewswire.com:443
/PRNewswire/ -- JG Wentworth announces Andrey Zelenovsky as the company's Vice President of Artificial Intelligence and Machine Learning. Zelenovsky will lead...
SHOW MORE

References

Golden logo
By using this site, you agree to our Terms & Conditions.