Book Image

Artificial Intelligence Business: How you can profit from AI

By : Przemek Chojecki
Book Image

Artificial Intelligence Business: How you can profit from AI

By: Przemek Chojecki

Overview of this book

We’re living in revolutionary times. Artificial intelligence is changing how the world operates and it determines how smooth certain processes are. For instance, when you go on a holiday, multiple services allow you to find the most convenient flights and the best hotels, you get personalized suggestions on what you might want to see, and you go to the airport via one of the ride-sharing apps. At each of these steps, AI algorithms are at work for your convenience. This book will guide you through everything, from what AI is to how it influences our economy and society. The book starts with an introduction to artificial intelligence and machine learning, and explains the importance of AI in the modern world. You’ll explore how start-ups make key decisions with AI and how AI plays a major role in boosting businesses. Next, you’ll find out how media companies use image generation techniques to create engaging content. As you progress, you’ll explore how text generation and AI chatbot models simplify our daily lives. Toward the end, you’ll understand the importance of AI in the education and healthcare sectors, and realize the risks associated with AI and how we can leverage AI effectively to help us in the future. By the end of this book, you’ll have learned how machine learning works and have a solid understanding of the recent business applications of AI.
Table of Contents (10 chapters)

Basic terminology of Artificial Intelligence

Let’s now jump into basic terminology related to AI. When we say Artificial Intelligence we mostly mean machine learning - a domain of computer science that uses learning algorithms able to tune themselves on data provided by a user. The fundamental block of machine learning is neural networks. They are algorithmic systems based on simulating connected neural units,loosely modeling the way that neurons interact in the brain.

As we have mentioned above, these computational models inspired by neural connections have been studied since the 1940s. They have returned to prominence with the rise of computer processing power able to cope with large training data sets and have been used to successfully analyze input data such as images, video, and speech. Deep learning is a subset of machine learning, where neural networks have many layers of neurons (deep network). The more layers you include in your machine...