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An Introduction to
Machine Learning
Raveen Harith Perera GDG Sri Lanka
”
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
3
Google in Machine Learning4
5
Machine Learning
Supervised Unsupervised
Classification
(discrete)
Regression
(continuous)
Clustering
Artificial Neural Networks
Learning Vector Quantization
Support Vector Machines
Hidden Markov Models
K-Means
Self Organizing Maps
ASR Mining
Neural Gas
UNSUPERVISED LEARNING
6
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 color
Number of legs
Height
Weight
8
Unsupervised learning - Clustering9
Cluster 1
Cluster 2
outliers
Unsupervised learning - K-Means Clustering10
SUPERVISED LEARNING
11
Labeled Inputs + Training
Regression Models and Classification
Supervised learning - Regression & Classification12
Supervised Learning - Regression
Regression is used on continuous data
13
Free time
age
Supervised Learning - Regression
Regression is used on continuous data
14
Supervised Learning - Regression
Overfitting and Underfitting
15
underfit good Overfit
Supervised learning - Artificial Neural Networks16
Similar to how our brains learn
Knowledge 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 Learning
Deep Neural Networks
▹ Convolutional
Neural Networks
▹ Deep Recurrent
Neural Networks
19
Deep Learning20
▹ Deep learning research dates back to about 20
years from now
▹ Implementation was bounded by
▸ Computation power
▸ Large datasets
Some Applications
21
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 image24
Deep Dream25
Deep Dream26
PRISMA - Deep Neural Networks
Read more http://arxiv.org/pdf/1603.03417v1.pdf
27
Baidu AI learns to compose through image recognition
https://www.youtube.com/watch?v=Ics9CjRSMfc
28
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
30

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