This document summarizes a presentation on machine learning and its applications. It begins with defining machine learning as a field that allows computers to learn without being explicitly programmed. It then provides an example of a "Hello World" machine learning program that trains a classifier to distinguish apples from oranges. The document also outlines the machine learning workflow and discusses popular machine learning libraries. Finally, it lists several applications of machine learning, such as spam filtering in Gmail and photo organization in Google Photos.

1. MACHINE LEARNING AND
APPLICATIONS
Geeta Arora
Expert Session delivered during Workshop on
Image Processing and Machine Learning for Pattern Recoginition on 11th July 2016 at
University Institute of Engineering and Technology, Chandigarh

2. What is Machine Learning?
Hello World of Machine
Learning
Types of Machine Learning
Why Machine Learning?
AGENDA
Libraries
Applications
Demo
Workflow

3. What is Machine Learning?
Hello World of Machine
Learning
Types of Machine Learning
Why Machine Learning?
AGENDA
Libraries
Applications
Demo
Workflow

4. Machine Learning is not the future

5. Why Machine Learning?
Develop systems that can
automatically adapt
themselves to users
• Personalized news or emails
Discover new knowledge
from large databases
Ability to mimic humans
and replace monotonous
tasks which require some
intelligence
• Recognizing handwritten
characters
Develop systems that are
too difficult or expensive to
construct manually or
knowledge tuned to a
specific task

6. Why the increased interest in Machine Learning?
1. Growing volumes and varieties of available data

7. 2. Cheaper and more powerful computational processing

8. 3. Better and inexpensive storage capacities

9. 4. Open source revolution

10. What is Machine Learning?
Hello World of Machine
Learning
Types of Machine Learning
Why Machine Learning?
AGENDA
Libraries
Applications
Demo
Workflow

11. What is Machine Learning?
Field of study that gives the computers the ability to learn
without being explicitly programmed.
(Arthur Sameul, 1959)

13. What is Machine Learning?
Hello World of Machine
Learning
Types of Machine Learning
Why Machine Learning?
AGENDA
Libraries
Applications
Demo
Workflow

14. Problem –
Distinguish Apple from Orange

15. Write a function which takes and image file and outputs if it is an
apple or not?

16. Start writing rules…

17. Rules start breaking ….

18. Lets solve with machine learning
Classifier
Apple

19. How do you solve the problem using Machine Learning?
Collect
Training Data
Train Classifier
Make
Predictions

20. Collect Training
Data
Train Classifier
Make
Predictions
Feature 1 Feature 2Example
Example

21. The Code – Hello World of Machine Learning
from sklearn import tree
features = [[140, "smooth"], [130, "smooth"], [150, "bumpy"], [170, "bumpy"]]
labels = ["apples", "apples", "orange", "orange"]
features = [[140, 1], [130, 1], [150, 0], [170, 0]]
labels = [0, 0, 1, 1]
clf = tree.DecisionTreeClassifier()
clf.fit(features, labels)
print(clf.predict([[160, 0]]))

22. clf.fit(features, labels)
Under the hood…

25. What is Machine Learning?
Hello World of Machine
Learning
Types of Machine Learning
Why Machine Learning?
AGENDA
Libraries
Applications
Demo
Workflow

26. Types of Machine Learning
Machine Learning
Supervised
Regression
Classification
Unsupervised Clustering
Reinforcement Recommendations

30. What is Machine Learning?
Hello World of Machine
Learning
Types of Machine Learning
Why Machine Learning?
AGENDA
Libraries
Applications
Demo
Workflow

31. Machine Learning Workflow

32. What is Machine Learning?
Hello World of Machine
Learning
Types of Machine Learning
Why Machine Learning?
AGENDA
Libraries s
Applications
Demo
Workflow

33. Machine Learning Libraries

37. What is Machine Learning?
Hello World of Machine
Learning
Types of Machine Learning
Why Machine Learning?
AGENDA
Libraries
Applications
Demo
Workflow

39. Gmail: ensuring a spam-free inbox with Machine Learning

40. Google's Smart Email Reply

41. Google Photos uses machine learning to create customized albums

44. Google Keyboard

45. Google Speech Recognition

46. Apple Siri

48. Amazon Echo

50. https://play.google.com/store/apps/details?id=com.scigh.cricketworldcup2
015
DEMO
Scigh Cricket App

51. geeta.a.arora@gmail.com