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Everything about Machine learning
Subset of artificial intelligence
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without being explicitly programmed. Wikipedia →
🧠Start here: a 6-step reading path
- Read the overview: Machine learningA 5-minute orientation
- Skim a recent paper: Scientific Machine Learning Through Physics–Informed Neural Networks: Where we are and What’s NextInfluential work since 2022
- Pick up a classic book: Advanced Computing and Systems for SecurityThe most-reprinted book on the subject
- Read the landmark paper: Extreme learning machine: Theory and applicationsCited 11,950 times
- Go sideways: Neural network (machine learning)A closely related topic
- Go sideways: Glossary of artificial intelligenceA closely related topic
đź“– Definitions
Noun The ability of computers to learn without being explicitly programmed.
Noun A field of study concerned with the design and development of algorithms and techniques that allow computers to learn.
🏆 Landmark papers (most cited)
Extreme learning machine: Theory and applications
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
Physics-informed machine learning
Machine learning: Trends, perspectives, and prospects
The use of the area under the ROC curve in the evaluation of machine learning algorithms
Federated Machine Learning
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
🆕 Influential since 2022
Scientific Machine Learning Through Physics–Informed Neural Networks: Where we are and What’s Next
CARD 2023: expanded curation, support for machine learning, and resistome prediction at the Comprehensive Antibiotic Resistance Database
CheckM2: a rapid, scalable and accurate tool for assessing microbial genome quality using machine learning
Leakage and the reproducibility crisis in machine-learning-based science
Evaluation metrics and statistical tests for machine learning
đź“š Books worth reading
Advanced Computing and Systems for SecurityRituparna Chaki, Agostino Cortesi · 2015
Advances in artificial intelligenceCanadian Society for Computational Studies of Intelligence. Conference · 1996
First Course in Machine LearningSimon Rogers, Mark Girolami · 2011
Machine LearningJason Bell · 2014
Reinforcement LearningRichard S. Sutton · 1992
Deep Learning with PythonFrancois Chollet, Matthew Watson · 2017
Machine Learning For DummiesJohn Paul Mueller, Luca Massaron · 2016
Foundations of machine learningMehryar Mohri · 2012
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
đź”— Related topics
- Neural network (machine learning) In machine learning, a neural network (NN) or artificial neural network (ANN) is a computational model inspired by the structure and functions of biological…
- Glossary of artificial intelligence This glossary of artificial intelligence is a list of definitions of terms and concepts relevant to the study of artificial intelligence (AI), its subdiscipline…
- Soft computing Soft computing is an umbrella term used to describe types of algorithms that produce approximate solutions to unsolvable high-level problems in computer…
- Unsupervised learning Unsupervised learning is a framework in machine learning where, in contrast to supervised learning, algorithms learn patterns exclusively from unlabeled…
- Deep learning In machine learning, deep learning (DL) focuses on utilizing multilayered neural networks to perform tasks such as classification, regression, and representatio…
- Pattern recognition Pattern recognition is the task of assigning a class to an observation based on patterns extracted from data. While similar, pattern recognition (PR) is…
- Types of artificial neural networks Types of neural networks (NN) include a family of techniques. The simplest types have static components, including number of units, number of layers, unit…
- Restricted Boltzmann machine A restricted Boltzmann machine (RBM) (also called a restricted Sherrington–Kirkpatrick model with external field or restricted stochastic Ising–Lenz–Little…