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)

Pushing boundaries of machine learning

Finally, various alternative approaches emerged in recent years when it comes to model architectures, training, or even what a neural network should be. As Ive written above, were still early in the process of understanding machine learning and its applications. Thats why each year brings breakthroughs, and it will stay so for the foreseeable future.

In this section, Ive gathered concepts that push boundaries and are actively tested. Some of them might need years to fully blossom, while others would never make it out of research labs. Here are the top 4 trends in machine learning to watch in the upcoming years:

  1. Graph Neural Networks
  2. Bayesian Deep Learning
  3. Active Learning
  4. Federated Learning

Graph Neural Networks84 are deep learning methods that operate on graphs. A graph is a data structure that models a set of objects (nodes) and their relationships (edges). Standard neural networks like CNNs...