1Machine learning is the science and art of programming computers so they can learn from data.
Géron, Aurélien. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition. O’Reilly Media, Inc., 2022.
2Machine learning is the field of study that gives computers the ability to learn without being explicitly programmed. Arthur Samuel, 1959
Géron, Aurélien. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition. O’Reilly Media, Inc., 2022.
3A computer program is said to learn from experience E with respect to some task T and some performance measure P, if its performance on T, as measured by P, improves with experience E. Tom Mitchell, 1997
Géron, Aurélien. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition. O’Reilly Media, Inc., 2022.
4Creating and using models that are learned from data.
Grus, Joel. Data Science from Scratch, 2nd Edition. O’Reilly Media, Inc., 2019
5The usual way to make a computer do useful work is to have a human programmer write down rules — a computer program — to be followed to turn input data into appropriate answers, just like Lady Lovelace writing down step-by-step instructions for the Analytical Engine to perform. Machine learning turns this around: the machine looks at the input data and the corresponding answers, and figures out what the rules should be.
Chollet, Francois. Deep Learning with Python, Second Edition. Manning Publications, 2018.
6Machine learning (ML) is a branch of AI that deals with the development of algorithms that can learn to perform tasks automatically based on a large number of examples, without requiring handcrafted rules.
Vajjala, Sowmya, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana. Practical Natural Language Processing. O’Reilly Media, 2020.
7Machine learning is an application of artificial intelligence that provides the AI system with the ability to automatically learn from the environment and apply those lessons to make better decisions.
Tatsat, Hariom, Sahil Puri, and Brad Lookabaugh. Machine Learning and Data Science Blueprints for Finance. O’Reilly Media, 2021.
8Machine Learning is the process of programming computers to learn from historical data to make predictions on new data.
Fernández Villán, Alberto. Mastering OpenCV 4 with Python. Packt Publishing, 2019.
9Machine learning is essentially a form of applied statistics with increased emphasis on the use of computers to statistically estimate complicated functions and a decreased emphasis on proving confidence intervals around these functions.
Goodfellow, Ian, Yoshua Bengio, and Aaron Courville. Deep Learning. MIT Press, 2016.
10Machine learning is about extracting knowledge from data. It is a research field at the intersection of statistics, artificial intelligence, and computer science and is also known as predictive analytics or statistical learning.
Müller, Andreas C. and Sarah Guido. Introduction to Machine Learning with Python. O’Reilly Media, 2016.
