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COM SCI M146 Study Guide - Spring 2019, Comprehensive Final Exam Notes - Gradient Descent, Perceptron, Normal Distribution

United States

Introduction to Machine Learning

Computer Science

Sankararaman

University of California - Los Angeles

Database Systems

Programming Languages

Logic Design of Digital Systems

Introduction to Computer Organization

Operating Systems Principles

Freshman Computer Science Seminar

Software Construction Laboratory

Computer Network Fundamentals

Computer Systems Architecture

Introduction to Algorithms and Complexity

Fundamentals of Artificial Intelligence

Electrical and Electronic Circuits

Systems and Signals

Art of Engineering Endeavors

Life: Concepts and Issues

Introduction to Study of Language

Linear Algebra and Applications

Calculus of Several Variables

Differential Equations

Probability Theory

Physics for Scientists and Engineers: Electrodynamics, Optics, and Special Relativity

Introduction to Statistical Reasoning

Introduction to Computer Science II

Introduction to Discrete Structures

Introduction to Political Philosophy

Physics for Scientists and Engineers: Oscillations, Waves, Electric and Magnetic Fields

COM SCI M146 Study Guide - Spring 2019, Comprehensive Final Exam Notes - Gradient Descent, Perceptron, Normal Distribution

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