This document provides an overview of machine learning, including what it is, how it compares to other concepts like learning and programming, known applications, and emerging trends. Machine learning uses algorithms and data to enable computers to learn without being explicitly programmed and can be used to make predictions that sometimes outperform humans in areas like customer feedback, recommendations, recognition, and fraud detection. It is becoming increasingly important for businesses for tasks like forecasting demand.

1. MACHINE LEARNING

2. About Machine Learning
“Industrial Revolution freed humans from manual labor,
the Digital Revolution probably reduced the supremacy
of the human brain”
- McAfee

3. Contents
■ Why Machine Learning?
■ What is Machine Learning?
■ Machine Learning vs Learning
■ Machine Learning vs Programming
■ Machine Learning vs Data Mining
■ Machine Learning APIs
■ Known Applications
■ Emerging Trends
■ Its Importance for Business

4. Why Machine Learning?
■ Problem
■ Can machines do what
we (as thinking entities)
do?
■ Solution
■ Machine Learning uses
algorithms that can learn
from and make
predictions on data
■ Can even outperform
humans

5. What is Machine Learning?
■ A part of Artificial Intelligence (AI)
■ Study of pattern recognition and computational learning
■ Using data to make predictions

6. Machine Learning vs Learning?
■ Machine learning is
concerned with computer
programs that
automatically improve
their performance
through experience
■ Learning is any process
by which a system
improves performance
from experience

7. Machine Learning vs Programming
 Machine Learning:
"Field of study that gives
computers the ability to
learn without being
explicitly programmed".
-Arthur Samuel

8. Machine Learning vs Data Mining
■ Machine learning:
Predictions learnt from
the training data
■ Data mining: Discovery of
(previously) unknown
properties in the data
Data Prediction
Machine Learning

9. Machine Learning APIs
■ Google Prediction API
■ Works via Google Cloud
■ Provides pattern-
matching and machine
learning capabilities

10. Known Applications
■ Customer feedback for
businesses on Twitter
■ Online recommenders in
e-commerce sites such as
Amazon or Netflix
■ Optical character
recognition (OCR)
■ The self-driving Google
Car
■ Fraud detection systems
■ Search engines

11. Emerging Trends
■ The Brain-Computer
Interface:
■ Provides certain brain
patterns to the computer
■ People-Literate
Technology (PLTs):
■ Convert voice or text
messages into retainable
intelligence

12. Importance for Business
Forecasting demand with
automated processes is
increasing for online and real
business
■ Marketing
■ E-Commerce
■ Banking
■ Healthcare
■ Agriculture
■ Education

13. THANK YOU
Share your feedback on
http://www.extentia.com/contact-us