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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