Overview
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Explore the fundamentals of machine learning in this 50-minute conference talk from Spring I/O 2018 in Barcelona. Gain a gentle introduction to key concepts such as supervised learning, unsupervised learning, reinforcement learning, and deep learning. Discover the potential applications of machine learning and develop an intuition for the underlying mathematics. Starting from the basics, the talk builds up to more advanced techniques in an approachable manner, making it suitable for beginners and those looking to deepen their understanding. Learn about neural networks, backpropagation, error measurement, and convolutional networks through practical examples and visualizations. By the end of the session, acquire the knowledge to embark on your own machine learning projects and experiments.
Syllabus
Introduction
About Pivotal
About Andrew Aang
What is Machine Learning
Supervised Learning
Unsupervised Learning
Reinforcement Learning
Hello World Dataset
Visual Neural Net Server
Feedforward
BackPropagation
Measuring Error
Theta
Two Degrees of Freedom
Make Your Own Neural Networks
Deep Learning for J
Playground
Convolutional Networks
Taught by
Spring I/O