Название: Artificial Intelligence: Crash Course Автор: Raghavendra Yadav Издательство: Independently published Год: 2021 Страниц: 130 Язык: английский Формат: pdf (true), epub Размер: 10.1 MB
It’s everywhere, whether we notice it or not. It’s taking the critical decisions in almost every field, from finance to health. It’s driving the algorithms of probably every technology giant’s like Google, Facebook, Amazon, Netflix and many more organizations around the world. And yeah its what puts the “Smart” in front of our devices as we call them smart devices. Artificially Intelligence (AI) systems are analysing huge, I mean like huge amounts of data that we’re generating every minute through our smart devices to infer patterns and predicts likely futures. Like the number of drinks that people might buy next week at the store, so the store knows how much to stock. Everyone seems to be talking about AI and how it’s going to revolutionize the world or create some dystopian future.
In this book, we’ll talk about three main types of learning: • Reinforcement Learning. • Unsupervised Learning. • Supervised Learning.
Reinforcement Learning is the process of learning in an environment, through feedback from an AI’s behaviour, it’s how kids learn to walk! No one tells them how, they just practice, stumble, and get better at balancing until they can put one foot in front of the other.
Unsupervised Learning is the process of learning without training labels. It could also be called clustering or grouping. Sites like YouTube use unsupervised learning to find patterns in the frames of a video, and compress those frames so that videos can be streamed to us quickly.
Supervised Learning is the process of learning with training labels. It’s the most widely used kind of learning when it comes to AI, and it’s what we’ll focus. Supervised learning is when someone who knows the right answers, called a supervisor, points out mistakes during the learning process. You can think of this like when a teacher corrects a student’s math.
Introduction What is AI? Supervised Learning Neural Networks and Deep Learning Training Neural Networks Unsupervised Learning Natural language processing Reinforcement Learning Symbolic AI Robotics AI Playing Games Humans and AI working together Web Search Algorithmic Bias and Fairness Future of AI GLOSSARY
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