Machine learning - Wikipedia
        
    https://en.wikipedia.org/wiki/Machine_learning
        Machine learninganddata mining. v. t. e. Machine learning (ML) is the study of computer algorithms that improve automatically through experience. It is seen as a part of artificial intelligence.
    
        Machine Learning Tutorial - All the Essential Concepts in Single...
        
    https://data-flair.training/blogs/machine-learning-tutorial/
        Machine Learning is used in every domain. It is being used to impart intelligence to static systems. With the knowledge acquired from the data, it is used to build intelligent products.
    
        What is Machine Learning? | IBM
        
    https://www.ibm.com/cloud/learn/machine-learning
        Machine learning focuses on applications that learn from experience and improve their decision-making or predictive accuracy over time.
    
        Machine Learning - YouTube
        
    https://www.youtube.com/playlist?list=PLD0F06AA0D2E8FFBA
        Machine Learning. 160 видео 1 498 359 просмотров Обновлен 2 июл. 2014 г. Ещё. (ML 1.1) Machine learning - overview and applications.
    
        What Is Machine Learning? | How It  Works, Techniques &  Applications
        
    https://www.mathworks.com/discovery/machine-learning.html
        Machine learning is a data analytics technique that teaches computers to do what comes naturally Machine learning algorithms use computational methods to "learn" information directly from data...
    
        Machine Learning Tutorial for Beginners: What is, Basics of ML
        
    https://www.guru99.com/machine-learning-tutorial.html
        Machine Learning is a system of computer algorithms that can learn from example through self-improvement without being explicitly coded by a programmer. Machine learning is a part of artificial...
    
        Machine Learning for Humans. The ultimate guide to... | Medium
        
https://medium.com/machine-learning-for-humans/why-machine-learning-matters-6164faf1df12
        The ultimate guide to machine learning. Simple, plain-English explanations accompanied by math, code, and real-world examples.