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Page 1: Introduction to CS4641 · Course Logistics I Syllabus I Schedule I Project I Getting started 6/6. Title: Introduction to CS4641 Created Date: 5/15/2019 12:54:06 PM

Introduction to CS4641

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Page 2: Introduction to CS4641 · Course Logistics I Syllabus I Schedule I Project I Getting started 6/6. Title: Introduction to CS4641 Created Date: 5/15/2019 12:54:06 PM

Machine Learning: The Big Idea

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Page 3: Introduction to CS4641 · Course Logistics I Syllabus I Schedule I Project I Getting started 6/6. Title: Introduction to CS4641 Created Date: 5/15/2019 12:54:06 PM

Machine Learning: The Big Idea

3 / 6

Page 4: Introduction to CS4641 · Course Logistics I Syllabus I Schedule I Project I Getting started 6/6. Title: Introduction to CS4641 Created Date: 5/15/2019 12:54:06 PM

Machine Learning: The Big Idea

4 / 6

Page 5: Introduction to CS4641 · Course Logistics I Syllabus I Schedule I Project I Getting started 6/6. Title: Introduction to CS4641 Created Date: 5/15/2019 12:54:06 PM

Machine Learning: The Big Idea

Berlin is cold!

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Page 6: Introduction to CS4641 · Course Logistics I Syllabus I Schedule I Project I Getting started 6/6. Title: Introduction to CS4641 Created Date: 5/15/2019 12:54:06 PM

Course Logistics

I SyllabusI ScheduleI ProjectI Getting started

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Probability Basics - Georgia Institute of Technologybboots3/CS4641-Fall2016/Lectures/Lecture11.pdfDiscreteRandomVariables • Let A denotearandomvariable – A represents0an0event0that0can0take0on0certain0values

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Introduction (I)

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Linear Regression & Gradient Descentbboots3/CS4641-Fall2018/...Linear Regression & Gradient Descent Robot Image Credit: ViktoriyaSukhanova© 123RF.com These slides were assembled by

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Introduction (I)

13 Unsupervised Learning Balloch - Georgia Institute of …bboots3/CS4641-Fall2016/Lectures/... · 2016-11-23 · Unsupervised Learning: K-Means, Gaussian Mixture Models ... duper

( I) Introduction

Introduction To Buddhism I I

I. Introduction

i. INTRODUCTION

Markov Decision Processes (continued)bboots3/CS4641-Fall2018/Lecture19/19_MDPs2.pdf§Alternative approach for optimal values: §Step 1: Policy evaluation: calculate utilities for some

Introduction Section I: Introduction

I. INTRODUCTION