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Rust Machine Learning
Return to Machine Learning - Deep Learning, Rust Deep Learning, DataOps-MLOps-DevOps, Data Science, Rust Official Glossary, Rust Topics, Rust, Rust DevOps - Rust SRE, Rust Data Science - Rust DataOps, Rust MLOps
- Snippet from Wikipedia: Machine learning
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 explicit instructions. Recently, artificial neural networks have been able to surpass many previous approaches in performance.
ML finds application in many fields, including natural language processing, computer vision, speech recognition, email filtering, agriculture, and medicine. When applied to business problems, it is known under the name predictive analytics. Although not all machine learning is statistically based, computational statistics is an important source of the field's methods.
The mathematical foundations of ML are provided by mathematical optimization (mathematical programming) methods. Data mining is a related (parallel) field of study, focusing on exploratory data analysis (EDA) through unsupervised learning.
From a theoretical viewpoint, probably approximately correct (PAC) learning provides a framework for describing machine learning.
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Rust: Rust Fundamentals, Rust Inventor: Rust Language Designer: Graydon Hoare on July 7, 2010; Rust RFCs, Rust Scripting, Rust Keywords, Rust Built-In Data Types, Rust Data Structures - Rust Algorithms, Rust Syntax, Rust OOP - Rust Design Patterns, Rust Package Manager (cargo-crates.io - Rust Crates - Rust Cargo), Rust Virtualization, Rust Interpreter, Rust REPL, Rust IDEs (JetBrains RustRover, IntelliJ - CLion with JetBrains Rust Plugins, Visual Studio Code), Rust Development Tools, Rust Linter, Rustaceans-Rust User, Rust Uses, List of Rust Software, Rust Popularity, Rust Compiler (rustc), Rust Transpiler, Rust DevOps - Rust SRE, Rust Data Science - Rust DataOps, Rust Machine Learning, Rust Deep Learning, Functional Rust, Rust Concurrency - Rust Parallel Programming - Async Rust, Rust Standard Library, Rust Testing, Rust Libraries, Rust Frameworks, Rust History, Rust Bibliography, Manning Rust Series, Rust Glossary - Rust Official Glossary, Rust Topics, Rust Courses, Rust Research, Rust GitHub, Written in Rust, Rust Awesome List. (navbar_rust)
Machine Learning: ML Fundamentals, ML Inventor: Arthur Samuel of IBM 1959 coined term Machine Learning. Synonym Self-Teaching computers from 1950s. Experimental AI “Learning Machine” called Cybertron in early 1960s by Raytheon Company; ChatGPT, NLP, GAN, ML, DL - Deep learning - Python Deep learning, MLOps, Python machine learning (sci-kit, OpenCV, TensorFlow, PyTorch, Keras, NumPy, NLTK, SciPy, sci-kit learn, Seaborn, Matplotlib), Cloud ML (AWS ML, Azure ML, Google ML-GCP ML-Google Cloud ML, IBM ML, Apple ML), C++ Machine Learning, C# Machine Learning, Golang Machine Learning, Java Machine Learning, JavaScript Machine Learning, Julia Machine Learning, Kotlin Machine Learning, R Machine Learning, Ruby Machine Learning, Rust Machine Learning, Scala Machine Learning, Swift Machine Learning, ML History, ML Bibliography, Manning AI-ML-DL-NLP-GAN Series, ML Glossary, ML Topics, ML Courses, ML Libraries, ML Frameworks, ML GitHub, ML Awesome List. (navbar_ml - See also navbar_dl, navbar_nlp, navbar_chatgpt and navbar_ai, navbar_tensorflow)
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