Introduction to Machine Learning

Oct 25, 2023

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Machine learning is AI's core, teaching computers to learn from data. Three types: supervised, unsupervised, and reinforcement learning. Used in recommendations, language processing, image recognition, healthcare, and finance. Join us for a deep dive into this exciting world!

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Introduction to Machine Learning

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Introduction to Machine Learning

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Introduction to Machine Learning

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Amit Sethi , EEE, IIT G @ Cepstrum , Oct 16, 2011. Introduction to Machine Learning. A high-level view of Machine Learning. Objectives: Understand what is machine learning Motivate why it has become so important Identify Types of learning and salient frameworks, algorithms and their utility

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Introduction to Machine Learning

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Introduction to Machine Learning

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Introduction to Machine Learning

Introduction to Machine Learning. David Kauchak CS 451 – Fall 2013. Admin. Assignment 1… how’d it go? Assignment 2 out soon building decision trees Java with some starter code competition extra credit. Building decision trees.

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Introduction to Machine Learning

Introduction to Machine Learning. Learning. Agent has made observations ( data ) Now must make sense of it ( hypotheses ) Hypotheses alone may be important (e.g., in basic science) For inference (e.g., forecasting) To take sensible actions (decision making)

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Machine Learning Introduction. Course logistics (1). Course: CSS 581, Introduction to Machine Learning course website: http://courses.washington.edu/css581/ Instructor: Jeff Howbert email: peaklist@u.washington.edu (preferred) phone: (206) 669-6629 [ cell ] office: UW1-040

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Introduction to Machine Learning

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