検索キーワード： 機械理論・人工知能

In Search of a Right-Brained Computer is the story of my search to find a computer for my right-brained wife. Since I'm left-brained, this was perhaps a futile attempt. Yet I pursued it. What I found was what makes right- and left-brained people ask the same questions while asking different questions. I explore each of the main questions one might ask when purchasing a computer. I then go through a computer system I designed in an attempt to design a right-brained computer. Then I analyze where it came close to meeting its mark and where it fell short.

The perfect book for beginners wanting to learn about hypothesis testing & statistical significance! Best-selling IT & mathematics author Arthur Taff presents a leading book for beginners to learn and understand hypothesis testing - specifically statistical significance. Statistical significance is a way of determining if an outcome occurred by random chance, or if something caused that outcome to be different than the expected baseline.

These are the ten best-ranked tips according to our online search. You will learn so much more with this guide.

Discover and learn all about machine learning in this book. You will understand and learn more about machine learning with the proper frameworks to solve problems. Have you seen or read about the automated driverless cars cruising the road and highways? Don’t you want to learn more about the framework that institutions and companies are using for machine learning?

Hacking: Learn Hacking Fast Ultimate Coursebook for Beginners provides hacking tutorials, resources, and brief in-depth hacking information, that will take your computer usage experience to the next level. Hacking: Learn Hacking Fast Ultimate Coursebook for Beginners is designed to guide you into the world of hacking. You will learn hacks for Windows 8.1 such as running heavy applications without installing auto time-bomb shut-off, create invisible folders, speeding up your system speech with your computer, how to create a key-logger, and more.

Peter Tesla, a prodigious young inventor, develops an electronic device to enhance the user's free will. A major application is drug detoxification. Peter's star client is the US president. Along the way, Peter is tried for the mysterious death of a girlfriend and struggles with the machinations of a secretive industrialist.

You already have the tools to make a threat intel program! With the growing number of threats against companies, threat intelligence is becoming a business essential.

The purpose of this audiobook, Crack Me in 3 Months, is to impress upon you the listener who is interested or currently going through Cisco training, to understand that the training is hard, the goal is high, and failure is not an option. The objective here is to encourage, support, and ask that you crack me in three months. While Cisco training is difficult, yet rewarding, no candidate is Cisco certified unless you pass the proctored Cisco exam. This audiobook will deliver our message of hope, support , understanding, and encouragement.

Who doesn't dream of building a financially independent life for themselves and being their own boss? In our modern day, this is more possible than it's ever been in the past. In YouTube: The Secret to Building an Audience and Creating a Massive Passive Income, you will be learning about using YouTube to do this. In its chapters, you will find out: how to make engaging videos; how to grow your traffic; using AdSense and selling; and more!

Text is a common fabric of society, yet it is still challenging for our technology to make sense of text. This is where taxonomies can help. In this book, Bill Inmon will introduce you to the concept of taxonomies and how they are used to simplify and understand text. We emphasize the practical aspects of taxonomies, and the subsequent usage of taxonomies as a basis for textual analytics.

Learn about the design and setup of Alexa, the design and components, and the function of the remote control. This book explains how to set up your Amazon Echo, activate it by voice-command, and navigate its myriad of potential uses.

Why do we need research to ensure that artificial intelligence remains safe and beneficial? What are the benefits and risks of artificial intelligence? Learn all about narrow AI and general AI in this audiobook.

Imagine a world where technology understands the human condition - a world that values relationships more than diamonds - a place where people earn a living, not from selling, but from compassion. We stand on the threshold of such a world. The door is open.

In this "micro-book" on artificial intelligence, you'll learn: what artificial intelligence actually is and how it began; the difference between narrow and general AI; if super AI could spell the end for humanity; how AI is being used today, from Alexa and Siri to news generation and fraud detection; how AI will be used in the future, from giving us superpowers to solving climate change; and more.

This book on machine learning will explain the concepts, methods, and history behind machine learning. Learn what it is, its importance, history, and much more.

In this book, Hod Lipson and Melba Kurman offer listeners insight into the risks and benefits of driverless cars, and a lucid and engaging explanation of the enabling technology. Recent advances in software and robotics are toppling long-standing technological barriers that for decades have confined self-driving cars to the realm of fantasy. A new kind of artificial intelligence software called deep learning gives cars rapid and accurate visual perception. Human drivers can relax and take their eyes off the road.

Data Lake Architecture will explain how to build a useful data lake where data scientists and data analysts can solve business challenges and identify new business opportunities. Learn how to structure data lakes as well as analog, application, and text-based data ponds to provide maximum business value. Understand the role of the raw data pond and when to use an archival data pond. Leverage the four key ingredients for data lake success: metadata, integration mapping, context, and metaprocess.

The future is now. Artificial "machine" intelligence is playing an ever-greater role in our society. We are already using cruise control in our cars and automatic checkout at the drugstore and are unable to live without our smartphones. The discussion around AI is largely polarized; people think either machines will solve all problems for everyone or they will lead us down a dark, dystopian path into total human irrelevance. Regardless of what you believe, the idea that we might bring forth intelligent creation can be intrinsically frightening.

In the beginning was Josh Levine, an idealistic programming genius who dreamed of wresting control of the market from the big exchanges that, again and again, gave the giant institutions an advantage over the little guy. Levine created a computerized trading hub named "Island" where small traders swapped stocks, and over time his invention morphed into a global electronic stock market that sent trillions in capital through a vast jungle of fiber-optic cables.

This book really needed to be written. The Bill of Rights, applied to artificial intelligence. Food for thought.