Machine Learning Crash Course - "This talk introduces machine learning through the lens of three use cases: Teaching a computer sign language (supervised learning), Predicting energy usage in Texas (time series data), Using machine learning to find your next job (content-based filtering). Each use case demonstrates techniques applicable in real-world machine learning problems."
"This talk introduces machine learning through the lens of three use cases:
Machine learning can feel like a magic black box. Learn the math behind the magic in this beginner-friendly talk. Attendees will walk away knowing what the different kinds of machine learning are, how to use the PyData stack to apply them, and how to approach problems commonly encountered when practicing machine learning in the real world.
Artificial Intelligence (AI) Tutorial - Getting started with Artificial Intelligence. In this Artificial Intelligence tutorial you will learn end to end about AI and it's vast domain. So this AI tutorial for beginners is an exhaustive tutorial for you to get started with AI.
In this Introduction to Artificial Intelligence and in computer science, artificial intelligence (AI), sometimes called machine intelligence. Before leading to the meaning of artificial intelligence let understand what is the meaning of the Intelligence - Intelligence. Colloquially, the term "artificial intelligence" is often used to describe machines (or computers) that mimic "cognitive" functions that humans associate with the human mind, such as "learning" and "problem solving"
This Python Machine Learning (ML) and AI (Artificial Intelligence) tutorial contains 4 different series designed to teach you the ins and outs of ML and AI. It talks about fundamental ML algorithms, neural networks, creating AI chat bots and finally developing an AI that can play the game of Flappy Bird.
Future of AI/ML | Rise Of Artificial Intelligence & Machine Learning talks about the future possibilities of Artificial Intelligence and Machine Learning and how we can get a job in AI/ML
Artificial Intelligence Tutorial for Beginners will provide you with a comprehensive and detailed knowledge of Artificial Intelligence concepts with hands-on examples. You'll learn: History Behind Deep Neural Networks; Relationship between Biological Neuron and Artificial Neuron; Working of Perceptron; Architecture of Artificial Neural Network; Activation Functions; Demo on Wine Dataset using Keras Sequential Model; Back-propagation and Gradient Descent Algorithm; Tensorflow 2.0; Demo on MNIST Dataset