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Artificial Intelligence Business: How you can profit from AI

Artificial Intelligence Business: How you can profit from AI

By : noelle silver russel, Przemek Chojecki
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Artificial Intelligence Business: How you can profit from AI

Artificial Intelligence Business: How you can profit from AI

By: noelle silver russel, 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)
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AutoML or automatic AI

We have a talent shortage globally in the AI industry. With the AI boom, every company needs someone to implement automation and harness data to improve business. One solution to this problem is democratization of AI education, another is AutoML. The goal of automatic machine learning is to discover necessary architecture for algorithms automatically and thus heavily reduce the amount of time needed to build and deploy new models as well as decrease the expertise required to use AI at all.

Recently AutoML tools for AI design have been gradually increasing in tasks like data preparation, training, model search, and feature engineering. Google offers Cloud AutoML, and other cloud platforms follow it by introducing ready-to-use machine learning models that self-optimize on your data and task. AutoML can be used in computer vision, video processing, translation, and NLP tasks.

Startups are also offering plug-and-play solutions, for example, Databricks, DataRobot...

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