MACHINE LEARNING
About Machine Learning
“Industrial Revolution freed humans from manual labor, the Digital Revolution probably reduced the supremacy of the human brain” - McAfee
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
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
What is Machine Learning?■A part of Artificial Intelligence (AI)■Study of pattern recognition and computational learning ■Using data to make predictions
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
Machine Learning vs Programming Machine Learning: "Field of study that gives computers the ability to learn without being explicitly programmed". -Arthur Samuel
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
Machine Learning APIs■Google Prediction API
■ Works via Google Cloud■ Provides pattern-
matching and machine learning capabilities
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
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
Importance for BusinessForecasting demand with automated processes is increasing for online and real business■ Marketing■ E-Commerce■ Banking■ Healthcare■ Agriculture■ Education
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