Artificial Intelligence For Beginners And Dummies
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Artificial Intelligence For Dummies
Author: John Paul Mueller
language: en
Publisher: John Wiley & Sons
Release Date: 2018-04-17
Step into the future with AI The term "Artificial Intelligence" has been around since the 1950s, but a lot has changed since then. Today, AI is referenced in the news, books, movies, and TV shows, and the exact definition is often misinterpreted. Artificial Intelligence For Dummies provides a clear introduction to AI and how it’s being used today. Inside, you’ll get a clear overview of the technology, the common misconceptions surrounding it, and a fascinating look at its applications in everything from self-driving cars and drones to its contributions in the medical field. Learn about what AI has contributed to society Explore uses for AI in computer applications Discover the limits of what AI can do Find out about the history of AI The world of AI is fascinating—and this hands-on guide makes it more accessible than ever!
Artificial Intelligence for Beginners and Dummies
Artificial intelligence is one of the most significant breakthroughs of the 21st century. Experts from different industries study its capabilities and discover new ways of its application. We call AI an emerging technology, however, scientists have been working in this direction since the 1950s. At first, AI was far from smart robots we see in sci-fi movies. Nevertheless, thanks to such technologies as machine learning and deep learning, AI became one of the most promising areas of the IT industry. The demand for AI developers constantly grows, and some experts imagine a future where computers replace humans. Even though it's too early to speak of artificial intelligence as of a threat to the workforce, modern workers will definitely benefit from learning more about this technology because it will allow them to prepare for the future changes in their industries and to get familiar with a new, effective and interesting tool. In our experience as technologists, consultants, and public speakers, we are constantly meeting people with different opinions about the definitions of AI, data science, and ML although many are quite opinionated, few can defend their position. Indeed, finding a universal definition of AI is not as trivial as it might look. Going by its name, we might try to define artificial intelligence by finding the human traits that we associate with intelligence. The main goal of this guide is to provide intuition about theory, techniques and applications for people who want to learn AI. It consists of brief descriptions and links to explanatory articles and lectures. Each section contains basic materials to get the idea how it works. In the last section you can find additional books, courses, podcasts and other materials.
Machine Learning For Dummies
Author: John Paul Mueller
language: en
Publisher: John Wiley & Sons
Release Date: 2021-02-09
One of Mark Cuban’s top reads for better understanding A.I. (inc.com, 2021) Your comprehensive entry-level guide to machine learning While machine learning expertise doesn’t quite mean you can create your own Turing Test-proof android—as in the movie Ex Machina—it is a form of artificial intelligence and one of the most exciting technological means of identifying opportunities and solving problems fast and on a large scale. Anyone who masters the principles of machine learning is mastering a big part of our tech future and opening up incredible new directions in careers that include fraud detection, optimizing search results, serving real-time ads, credit-scoring, building accurate and sophisticated pricing models—and way, way more. Unlike most machine learning books, the fully updated 2nd Edition of Machine Learning For Dummies doesn't assume you have years of experience using programming languages such as Python (R source is also included in a downloadable form with comments and explanations), but lets you in on the ground floor, covering the entry-level materials that will get you up and running building models you need to perform practical tasks. It takes a look at the underlying—and fascinating—math principles that power machine learning but also shows that you don't need to be a math whiz to build fun new tools and apply them to your work and study. Understand the history of AI and machine learning Work with Python 3.8 and TensorFlow 2.x (and R as a download) Build and test your own models Use the latest datasets, rather than the worn out data found in other books Apply machine learning to real problems Whether you want to learn for college or to enhance your business or career performance, this friendly beginner's guide is your best introduction to machine learning, allowing you to become quickly confident using this amazing and fast-developing technology that's impacting lives for the better all over the world.