An Introduction toMachine Learning

Raveen Harith Perera GDG Sri Lanka

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Machine learning is a Field of study that gives computers

the ability to learn without being explicitly programmed

Arthur Samuel

Where do we have machine learning in use?

▹ All big companie use machine learning

▹ Machine learning and data sciences have become the key role in every business

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Google in Machine Learning4

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Machine Learning

Supervised Unsupervised

Classification(discrete)

Regression(continuous) Clustering

Artificial Neural NetworksLearning Vector Quantization

Support Vector MachinesHidden Markov Models

K-MeansSelf Organizing Maps

ASR Mining Neural Gas

UNSUPERVISED LEARNING

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Unsupervised learning7

How would you divide these animals ?

There are number of features to consider

It will be based on what groups you want

Unsupervised learning

What kind of features can we use ?

Hair colorNumber of legsHeightWeight

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Unsupervised learning - Clustering9

Cluster 1

Cluster 2

outliers

Unsupervised learning - K-Means Clustering10

SUPERVISED LEARNING

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Labeled Inputs + Training

Regression Models and Classification

Supervised learning - Regression & Classification12

Supervised Learning - Regression

Regression is used on continuous data

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Free time

age

Supervised Learning - Regression

Regression is used on continuous data

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Supervised Learning - Regression

Overfitting and Underfitting

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underfit good Overfit

Supervised learning - Artificial Neural Networks16

Similar to how our brains learnKnowledge is kept on weights

Weights are updated to reduce errors at each learning stage

Backpropagation methods are used to learn the network

Supervised learning - Artificial Neural Networks17

Age

Platelet count

White blood cell count

Dengue positive or Negative

Supervised learning - Artificial Neural Networks18

▹ Complex image classifications (Deep Learning + Convolutional NN)

▹ Natural Language Processing

▹ Computer Games

▹ Google Search, Facebook news feed, Youtube recomendations

Deep LearningDeep Neural Networks

▹ Convolutional Neural Networks

▹ Deep Recurrent Neural Networks

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Deep Learning20

▹ Deep learning research dates back to about 20 years from now

▹ Implementation was bounded by▸ Computation power▸ Large datasets

Some Applications

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Image Processing - Finding Objects in an Image22

Early methods use Template matching and SIFT

Image Processing - Finding Objects in an Image23

Convolutional Neural Networks

Image Processing - Describing an image 24

Deep Dream25

Deep Dream26

PRISMA - Deep Neural Networks

Read more http://arxiv.org/pdf/1603.03417v1.pdf

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Baidu AI learns to compose through image recognition

https://www.youtube.com/watch?v=Ics9CjRSMfc

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Leading AI research companies29

Credits

Special thanks to all the people who made and released these awesome resources for free:

▹ Presentation template by SlidesCarnival

▹ Photographs by Startupstockphotos

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