MACHINE LEARNING FOR HOOMAN 🤖!

Self-paced approach in studying AI and Machine Learning

1. Why Machine Learning Matters ?
2. Supervised Learning
3. Unsupervised Learning
4. Neutral Networks & Deep Learning
5. Reinforcement Learning
6. ​The Best Machine Learning Resources

ROADMAP

1. Technical people who want to get up to speed on machine learning quickly
2. Non-technical people who want a primer on machine learning and are willing to engage with technical concepts
3. Anyone who is curious about how machine thinks

WHO SHOULD READ THIS ?

WHOAMI

• 9yrs experience in IT Industry

• Devcon, PADC, Indigitous

• Klaseko, Aqritech, Giolosts

• TechStyleFashion, Datalink, Oikos

• Digital Nomad

1. WHY MACHINE LEARNING MATTERS

2015

GOOGLE AI

develops a conversational agent(AI) that can act as tech support helpdesk

2015

ALPHA GO

beats the best human players

at Go at 49 Atari Games

2017

OpenAI

defeats the world's top professional in 1v1

2017

🤖🤖🤖

THE SEMANTIC TREE

THE AI EFFECT

What actually qualifies as "artificial intelligence" ?

Singularity

2. SUPERVISED LEARNING

Regression

predict a continuous numerical value. How much will that house sell for?

Classification

assign a label. Is this a picture of a cat or a dog?

Regression

Classification

3. UNSUPERVISED LEARNING

Clustering

data into groups by similarity

Dimension Reduction

to compress the data while maintaining its structure and usefulness

k-means clustering

clustering

hierarchical clustering

clustering

dimension reduction

NEURAL NETWORKS & DEEP LEARNING

Yuor abiilty to exaimne hgiher-lveel fteaures is waht aollws yuo to unedrtsand waht is hpapening in tihs snetecne wthiout too mcuh troulbe (or myabe yuo sned too mnay dnruk txets).

Neurons, feature learning, and layers of abstraction

REINFORCEMENT LEARNING

Trial-and-Error

The goal of maximizing long-term REWARD

Mouse in a Maze

THE BEST MACHINE LEARNING RESOURCES