Название: Secrets of Machine Learning: How It Works and What It Means for You
Автор: Tom Kohn
Издательство: World Scientific Publishing
Год: 2024
Страниц: 239
Язык: английский
Формат: pdf (true)
Размер: 10.5 MB

Cutting through the mass of technical literature on Machine Learning and AI and the plethora of fear-mongering books on the rise of killer robots, Secrets of Machine Learning offers a clear-sighted explanation for the informed reader of what this new technology is, what it does, how it works, and why it's so important.The surge in computer processing power along with the sheer quantities of training data available, means Machine Learning is now possible in ways wholly unthinkable just five years ago. Computers can recognize potential lung cancer better than doctors, detect fraud better than bankers, and create fake video almost impossible to tell from the real thing. And next, they are likely to drive our cars. Journalist and news product manager Tom Kohn gets to the heart of the revolutionary new technology that is developing all around us, explaining with precision how the different facets of Machine Learning work, how companies are using it, and why it is permeating all parts of society right now. The book guides readers through the arcane science and jargon in a clear and understandable way, but is detailed enough that it doesn't gloss over the hard technical concepts. If you want to know why Siri sometimes misunderstands you, how Netflix recommends your movies, and how Machine Learning will affect your job -- read this book.

Who Should Read This Book?
Anyone curious about how technology is changing in the workplace and the economy will benefit from learning how Machine Learning is filtering into different areas. Employees looking to future-proof their own skills, students seeking to get ahead as they enter the job market, and anyone with a general interest in cutting-edge industry. This is not a textbook aimed at computer scientists or technologists, yet they may also find some nuggets of interest here in terms of how different sectors are adopting Machine Learning and at what speeds. While we will strive to avoid too much technical jargon or mathematics, we will include a list of further reading for anyone interested in diving deeper into the technical side of things, along with a recommended list of books and more specialist learning. This book examines the different industries where Machine Learning operates and is being adopted, how the different systems work, and how the technologies are changing industry, the economy, and the job market. Many roles are changing in the workplace as companies race to adopt strategies that save them time and money and keep ahead of the competition. New kinds of work and jobs are also springing up as workplaces adapt.

We will suggest practical steps to stay abreast of these watershed changes and highlight the skills you need to know in the future. Giant chatbots suddenly seem to be everywhere in the news, but Artificial Intelligence is more embedded in our lives than just these. From voice assistants like Apple’s Siri and Amazon’s Alexa, to movie recommendation systems like those built by Netflix or Amazon Prime, to internet search engines or social media, similar underlying Machine Learning technologies are powering our lives. If you want to know how and why, read on.




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