Computer Science Technology

Master Artificial Intelligence in no time, even if you're a total beginner or a tech novice with our essential guide — Empower your career and simplify your daily life! Does the world of AI and machine learning seem intimidating, complex, or out of reach? Are you interested in diving into the realm of AI but have no idea where to start? Are you overwhelmed by endless information and complex terminologies that seem to make AI learning more challenging? You're not alone!

Two leaders in the field offer a compelling analysis of the current state of the art and reveal the steps we must take to achieve a truly robust artificial intelligence. Taking inspiration from the human mind, professors Gary Marcus and Ernest Davis explain what we need to advance AI to the next level, and suggest that if we are wise along the way, we won't need to worry about a future of machine overlords. Rebooting AI provides a lucid, clear-eyed assessment of the current science and offers an inspiring vision of how a new generation of AI can make our lives better.

A decade ago, developers built information-sharing software by writing a lot of custom code in a single code base, then adding layers of caching. Now we build information systems: interdependent software and services, data platforms, and event streams. Many of our software-to-systems initiatives fail, though, and when they do, we double down on traditional linear approaches. But linear thinking cannot resolve systems challenges. We need to shift to systems thinking.

For centuries, we’ve relied on polling or small-scale lab experiments to study human behavior. Today, a new approach is possible. As we live more of our lives online, researchers can finally observe us directly, in vast numbers, and without filters. Data scientists have become the new demographers.

Over the last two decades, there has been an inescapable rise of anger and aggression across our planet. Hate speech has become increasingly prevalent online, Western governments are turning towards authoritarianism and populism, and extremist groups are rising across both the left and the right ends of the political spectrum. Every day, it seems, we're hearing more angry voices and fearful opinions, we're seeing more threats and frightening news, and we're reacting faster and less rationally.

Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you'll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions.

The ability to effectively communicate with data is no longer a luxury in today’s economy; it is a necessity. Transforming data into visual communication is only one part of the picture. It is equally important to engage your audience with a narrative—to tell a story with the numbers. Effective Data Storytelling will teach you the essential skills necessary to communicate your insights through persuasive and memorable data stories.

Jeff Hawkins, the man who created the PalmPilot, Treo smart phone, and other handheld devices, has reshaped our relationship to computers. Now he stands ready to revolutionize both neuroscience and computing in one stroke, with a new understanding of intelligence itself.

An entertaining first look at how today's members of iGen - the children, teens, and young adults born in the mid-1990s and later - are vastly different from their millennial predecessors and from any other generation, from the renowned psychologist and author of Generation Me.

Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now - in software that senses what we need, supply chains that "think" in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on?

Classic Computer Science Problems in Python sharpens your CS problem-solving skills with time-tested scenarios, exercises, and algorithms, using Python. You'll tackle dozens of coding challenges, ranging from simple tasks like binary search algorithms to clustering data using k-means. You'll especially enjoy the feeling of satisfaction as you crack problems that connect computer science to the real-world concerns of apps, data, performance, and even nailing your next job interview!

Veteran video-game designer Dustin Hansen takes YA listeners on a fun and fascinating trip through the brief but intensely innovative history of video games. Find out about the fast and furious growth and evolution of video games (including how they are quickly taking over the world!) by looking at some of the most popular, innovative, and influential games ever, from Pong, the very first arcade game ever, to modern hits like Uncharted.

Radically improve the quality of your data visualizations by employing core principles of color, typography, chart types, data storytelling, and more. Everyday Data Visualization is a field guide for design techniques that will improve the charts, reports, and data dashboards you build every day. Everything you learn is tool-agnostic, with universal principles you can apply to any data stack.

Get the details, examples, and best practices you need to build generative AI applications, services, and solutions using the power of Azure OpenAI Service. Microsoft AI specialist Adrián González Sánchez examines the integration and utilization of Azure OpenAI Service within the Microsoft Azure cloud computing platform.

Can a well-programmed machine do anything a human can - only better? Complex algorithms are buying our groceries, picking our partners, and driving our investments. They can navigate more data than a doctor or lawyer and act with greater precision. For many years we've taken solace in the notion that they can't create. But now that algorithms can learn and adapt, does the future of creativity belong to machines too?

As advances in AI spark fear and confusion, The Mind’s Mirror reminds us that in spite of the very real and pressing challenges, AI is a force with enormous potential to improve human life. Computer scientist and AI researcher Daniela Rus, along with science writer Gregory Mone, offers an expert perspective as a leader in the field who has witnessed many technological hype cycles. Rus and Mone illustrate the ways in which AI can help us become more productive, knowledgeable, creative, insightful, and even empathetic, as well as the many risks associated with misuse.

In the tradition of Michael Lewis and Tom Wolfe, a fascinating and frightening behind-the-scenes look at the interconnected cultures of hackers, security specialists, and law enforcement. A cybersecurity professional turned journalist, Kate Fazzini illuminates the many lies companies and governments tell us about our security, the lies criminals tell to get ahead, and the lies security leaders tell to make us think they are better at their jobs than they are.

From 2016 to 2020, Jacob Helberg led Google’s global internal product policy efforts to combat disinformation and foreign interference. During this time, he found himself in the midst of what can only be described as a quickly escalating two-front technology cold war between democracy and autocracy.

In no more than the blink of an eye, a naïve optimism about technology’s liberating potential has given way to a dystopian obsession with biased algorithms, surveillance capitalism, and job-displacing robots. System Error exposes the root of our current predicament - how big tech’s relentless focus on optimization is driving a future that reinforces discrimination, erodes privacy, displaces workers, and pollutes the information we get- and outlines steps we can take to change course, renew our democracy, and save ourselves.

The dramatic story of an improbable gang of self-proclaimed “degenerates” who made WallStreetBets into a cultural movement that moved from the fringes of the internet to the center of Wall Street, upending the global financial markets and changing how an entire generation thinks about money, investing, and themselves.