Introduction

to

Machine Learning

Tyson Thomas

tysonthomas.90@gmail.com

About Me

Currently Software Architect at

Kadima Consulting

BE ECE - CMRIT

2008-12

Co-Founder of CASPEN Technologies

"Machine Learning is the field of study that gives computers the ability to learn without being explicitly programmed."

- Arthur Samuel

Types of Machine Learning

Deep Learning

Neural Networks

Vaugley mimics the process of how the brain operates with neurons that fire bits of information

Neural network that recognizes images of a cat

Example Classification Problem

Example Classification Problem - Solution

Classification Problem - Mathematical Representation

A Neuron classifying a data point into two kinds

Demo

Mathematical Representation of a single neuron

A neuron classifies any data point into one of two kinds

Using a single neuron to perform image recognition

28 Pixels * 28 Pixels = 784 Total Pixels

Training Dataset

Classification of an image as 8 or not?

Weights Distribution

How are the parameters determined?

(weights & biases)

• Backpropagation
• Gradient Descent

Deep Neural Networks

Classification Problem - 2

Classification Problem - 2

Demo

Feature Space Representation

A hidden layer transforms inputs to feature space, making it linearly classifiable

Neural network can extract insights from (seemingly) random signals

Classification Problem - 3

Classification Problem - 3

Demo

Deep Convolutional Neural Networks

Reference

Real World

Examples

Self Driving Car in Arizona, USA

Shopping Technology

Google DeepMind

Alpha Go

Alpha Go Zero using

Reinforcement Learning

Google Deep Mind reduces energy cost in datacenter

Assisting Pathologists in Detecting Cancer with Deep Learning

Locomotion Behaviours in Rich Environments

Getting into Machine Learning

Raspberry Pi + Intel Movidius Neural Chip

Nvidia Jetson