Showing results for "J. LO" in Computers & Technology

Books preserve ideas, yes, but they also provoke new ones— they are true tools for thinking. In The Idea Machine, Joel J. Miller shows that books are one of the most important but overlooked factors in the making of our contemporary world.

The deep-learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep-learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy.

With the rapid development of artificial intelligence and labor-saving technologies like self-checkouts and automated factories, the future of work has never been more uncertain, and even jobs requiring high levels of human interaction are no longer safe. The Last Human Job explores the human connections that underlie our work, arguing that what people do for each other in these settings is valuable and worth preserving.

In A Leader's Guide to Cybersecurity, Thomas Parenty and Jack Domet, who've spent over three decades in the field, present a timely, clear-eyed, and actionable framework that will empower senior executives and board members to become stewards of their companies' cybersecurity activities. Filled with tools, best practices, and strategies, A Leader's Guide to Cybersecurity will help boards navigate this seemingly daunting but extremely necessary transition.

Becoming a Data Head is a complete guide for data science in the workplace: covering everything from the personalities you’ll work with to the math behind the algorithms. The authors have spent years in data trenches and sought to create a fun, approachable, and eminently bingeable book. Anyone can become a Data Head—an active participant in data science, statistics, and machine learning. Whether you're a business professional, engineer, executive, or aspiring data scientist, this book is for you.

Nikola Tesla (1856-1943), credited as the inspiration for radio, robots, and even radar, has been called the patron saint of modern electricity. Based on original material and previously unavailable documents, this acclaimed book is the definitive biography of the man considered by many to be the founding father of modern electrical technology.

Interest in applying analytics, machine learning, and artificial intelligence to sales and marketing has grown dramatically, with no signs of slowing down. This book provides essential guidance to apply advanced analytics and data mining techniques to real-world business applications.

Cybersecurity Essentials provides a comprehensive introduction to the field, with expert coverage of essential topics required for entry-level cybersecurity certifications. An effective defense consists of four distinct challenges: securing the infrastructure, securing devices, securing local networks, and securing the perimeter. Overcoming these challenges requires a detailed understanding of the concepts and practices within each realm.

AI is one of the hottest investment trends on Wall Street. AI Investing For Dummies gives you all the must-know details on how artificial intelligence can benefit investors. You'll learn how powerful AI can be in helping you make better decisions, identify hidden opportunities, and build wealth in stocks, bonds, commodities, and real estate.

In the late 1850s, a physician in New York City used a syringe and glass tube to inject half a drop of sperm into a woman's uterus, marking the first recorded instance of artificial insemination. From that day forward, doctors and scientists have turned to technology in ever more innovative ways to facilitate conception. Fertility Technology surveys this history in all its medical, practical, and ethical complexity, and offers a look at state-of-the-art fertility technology in various social and political contexts around the world.

A few decades into the digital era, scientists discovered that thinking in terms of computation made possible an entirely new way of organizing scientific investigation; eventually, every field had a computational branch: computational physics, computational biology, computational sociology. More recently, "computational thinking" has become part of the K-12 curriculum. But what is computational thinking? This volume in the MIT Press Essential Knowledge series offers an accessible overview.

This new edition - more than 50 percent new and revised - is a significant update from the previous one and reveals how to harness the newest data mining methods and techniques to solve common business problems. The duo of unparalleled authors share invaluable advice for improving response rates to direct marketing campaigns, identifying new customer segments, and estimating credit risk. In addition, they cover more advanced topics, such as preparing data for analysis and creating the necessary infrastructure for data mining at your company.

Our beliefs constitute a large part of our knowledge of the world. We have beliefs about objects, about culture, about the past, and about the future. We have beliefs about other people, and we believe that they have beliefs as well. We use beliefs to predict, to explain, to create, to console, to entertain. Some of our beliefs we call theories, and we are extraordinarily creative at constructing them. Theories of quantum mechanics, evolution, and relativity are examples.

Following the success of The Accidental Billionaires and Moneyball comes Console Wars—a mesmerizing, behind-the-scenes business thriller that chronicles how Sega, a small, scrappy gaming company led by an unlikely visionary and a team of rebels, took on the juggernaut Nintendo and...

Historian Thomas J. Misa's sweeping history of the relationship between technology and society over the past 500 years reveals how technological innovations have shaped—and have been shaped by—the cultures in which they arose. In this edition, Misa brings his acclaimed text up to date by drawing on current scholarship while retaining sharply drawn portraits of individual people, artifacts, and systems. A masterful analysis of technology and culture, Leonardo to the Internet frames a history that illuminates modern-day problems and prospects of a technology-dependent world.

Focusing on the business and financial value of big data analytics, respected technology journalist Frank J. Ohlhorst shares his insights on the newly emerging field of big data analytics in Big Data Analytics. This breakthrough book demonstrates the importance of analytics, defines the processes, highlights the tangible and intangible values, and discusses how you can turn a business liability into actionable material that can be used to redefine markets, improve profits, and identify new business opportunities.

Andrew J. Stewart convincingly shows that emergency software patches and new security products cannot provide the solution to threats such as computer hacking, viruses, software vulnerabilities, and electronic spying. Profound underlying structural problems must first be understood, confronted, and then addressed.

Dark Data explores the many ways in which we can be blind to missing data and how that can lead us to conclusions and actions that are mistaken, dangerous, or even disastrous. Examining a wealth of real-life examples, from the Challenger shuttle explosion to complex financial frauds, Hand gives us a practical taxonomy of the types of dark data that exist and the situations in which they can arise, so that we can learn to recognize and control for them.

Neither a protest against AI, nor a speculative work on how AI could replace humans, Algorithms of Armageddon provides a time-critical understanding of why AI is being implemented through state weaponization, the realities for the global power balance, and more importantly, U.S. national security.

Terrence Sejnowski offers a nuanced exploration of large language models (LLMs) like ChatGPT and what their future holds. How should we go about understanding LLMs? Do these language models truly understand what they are saying? Or is it possible that what appears to be intelligence in LLMs may be a mirror that merely reflects the intelligence of the interviewer? In this book, Sejnowski, a pioneer in computational approaches to understanding brain function, answers all our urgent questions about this astonishing new technology.