EXPERIENCE MORE INDUSTRY NEWS HOW IT ALL STARTED? 1952 A. Samuel wrote the first computer-learning program – game of checkers www.future-processing.com 1990 Shift from knowledge-driven Machine Learning to data-driven approach 2006 The very term Machine Learning comes into existence 2015 Microsoft Kinect is able to track 20 human features at a rate of 30 times per second MACHINE LEARNING The ability of a machine to study the environment in order to learn patterns and adjust its functions to it. HOW CAN WE USE MACHINE LEARNING: Analysis of human behaviour Targeted advertising Security Better diagnosis of diseases DEEP LEARNING layers of artificial neural networks BAYESIAN NETWORKS correlation between things DECISION TREE LEARNING observation of objects’ features MACHINES CAN LEARN THANKS TO: Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed sollicitudin odio purus, vel ultrices nibh mollis quis. Donec convallis vestibulum leo nec malesuada. Sed eget sapien vitae felis ornare aliquam. Sed in nisl malesuada, vulputate leo ac, tristique augue. Nulla in rhoncus urna. Integer ultricies, augue ut ultrices efficitur, Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed sollicitudin odio purus, vel ultrices nibh mollis quis. Donec convallis vestibulum leo nec malesuada. Sed eget sapien vitae felis ornare aliquam. Sed in nisl malesuada, vulputate leo ac, tristique augue. Nulla in rhoncus urna. Integer ultricies, augue ut ultrices efficitur, purus elit imperdiet nunc, at euismod orci felis eu erat. Nulla tellus turpis, elementum sed suscipit at, gravida non lacus. Sed placerat nunc at Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed sollicitudin odio purus, vel ultrices nibh mollis quis. Donec convallis vestibulum leo nec malesuada. Sed eget sapien vitae felis ornare aliquam. Sed in nisl malesuada, vulputate leo ac, tristique augue. Nulla in rhoncus urna. Integer ultricies, augue ut ultrices efficitur, purus elit imperdiet nunc, at euismod orci felis eu erat. Nulla tellus turpis, elementum sed suscipit at, gravida non lacus. Sed placerat nunc at ullamcorper euismod. Duis et suscipit metus, ac venenatis tortor. Morbi sit amet ornare orci. Vivamus sed nisl et nibh vulputate scelerisque in id nibh. Donec in venenatis dui. Aenean eget arcu consectetur, malesuada magna pharetra, tristique ex. Duis tortor metus, ultrices sed tempus et, mattis id metus. Etiam nec erat magna. Donec elementum Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed sollicitudin odio purus, vel ultrices nibh mollis quis. Donec convallis vestibulum leo nec malesuada. Sed eget sapien vitae felis ornare aliquam. Sed in nisl malesuada, vulputate leo ac, tristique augue. Nulla in rhoncus urna. Integer ultricies, augue ut ultrices efficitur, purus elit imperdiet nunc, at euismod orci felis eu erat. Nulla tellus turpis, elementum sed suscipit at, gravida non lacus. Sed placerat nunc at ullamcorper euismod. Duis et suscipit metus, ac venenatis tortor. Morbi sit amet ornare orci. Vivamus sed nisl et nibh vulputate scelerisque in id nibh. venenatis dui. Aenean eget arcu REINFORCEMENTS LEARNING Machines are learning based on the outcome of various actions Teaching by giving machines large volumes of data to eventually make them able to separate things based on different aspects TYPES OF MACHINE LEARNING Teaching by tagging images or objects to help machines learn algorithms SUPERVISED MACHINE LEARNING UNSUPERVISED MACHINE LEARNING SOURCES: SEE MORE FORBES.COM MACHINELEARNINGMASTERY.COM