Introduction to Machine Learning: What Is and Its Applications
Dec 11, 2024 · Machine learning (ML) is a type of Artificial Intelligence (AI) that allows computers to learn and make decisions without being explicitly programmed. It involves feeding data into algorithms that can then identify patterns and make predictions on new data.
Introduction to Machine Learning | MIT Open Learning Library
This course introduces principles, algorithms, and applications of machine learning from the point of view of modeling and prediction. It includes formulation of learning problems and concepts of representation, over-fitting, and generalization.
Introduction to Machine Learning | Electrical Engineering and ...
This course introduces principles, algorithms, and applications of machine learning from the point of view of modeling and prediction. It includes formulation of learning problems and concepts of representation, over-fitting, and generalization.
Introduction to Machine Learning
Nov 16, 2019 · In machine learning, we often fit models, but as a means to the end of making good predictions or decisions. </p><p> As machine-learning (ML) methods have improved in their capability and scope, ML has become the best way, measured in terms of speed, human engineering time, and robustness, to make many applications.
Machine Learning | Coursera
Machine learning is a branch of artificial intelligence that enables algorithms to automatically learn from data without being explicitly programmed. Its practitioners train algorithms to identify patterns in data and to make decisions with minimal human intervention.
Introduction to Machine Learning - Coursera
We will introduce basic concepts in machine learning, including logistic regression, a simple but widely employed machine learning (ML) method. Also covered is multilayered perceptron (MLP), a fundamental neural network.
Machine Learning Crash Course - Google Developers
Google's fast-paced, practical introduction to machine learning, featuring a series of lessons with video lectures, interactive visualizations, and hands-on practice exercises.
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