Computer Science Technology

Causal Inference provides a brief and nontechnical introduction to randomized experiments, propensity scores, natural experiments, instrumental variables, sensitivity analysis, and quasi-experimental devices. Ideas are illustrated with examples from medicine, epidemiology, economics and business, the social sciences, and public policy.

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.

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.

This is the origin story of the airwaves - the foundational technology of the communications age - as told through the 40-year friendship of an entrepreneurial industrialist and a brilliant inventor. David Sarnoff, the head of RCA and equal parts Steve Jobs, Jack Welch, and William Randolph Hearst, was the greatest supporter of his friend, Edwin Armstrong, developer of the first amplifier, the modern radio transmitter, and FM radio.

A compelling look inside the Space Shuttle missions that helped lay the groundwork for the Space Age, Shuttle, Houston explores the determined personalities, technological miracles, and 11th-hour saves that have given us human spaceflight. Relaying stories of missions (and their grueling training) in vivid detail, Paul Dye, NASA's longest-serving flight director, examines the split-second decisions that the directors and astronauts were forced to make in a field where mistakes are unthinkable and errors led to the loss of national resources - and more importantly one's crew.

Le document rare et l'incroyable parcours d'un inventeur français, qui à l'âge de neuf ans avait déjà construit un robot pour faire son lit et a ensuite été l'un des deux créateurs de Siri. Son objectif ici : tordre le cou aux idées reçues et aux fantasmes qui entourent l'IA aujourd'hui. Vous ne comprenez rien à l'intelligence artificielle (IA) ?

In Artificial You, Susan Schneider says that it is inevitable that AI will take intelligence in new directions but urges that it is up to us to carve out a sensible path forward. As AI technology turns inward, reshaping the brain, as well as outward, potentially creating machine minds, it is crucial to beware. Homo sapiens, as mind designers, will be playing with "tools" they do not understand how to use: the self, the mind, and consciousness.

Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create and backtest trading algorithms based on machine learning and reinforcement learning.

In this groundbreaking book, acclaimed media scholar and technology author Douglas Rushkoff calls on us to abandon the monopolist, winner-takes-all values we are unwittingly embedding into the digital economy and to embrace the more distributed possibilities of these platforms. He shows how we can optimize every aspect of the economy - from central currency and debt to corporations and labor - to create sustainable prosperity for business and people alike.

The Beginner's Guide to AI is a comprehensive and accessible book that demystifies the world of artificial intelligence. This book is designed for anyone who is interested in understanding the basics of AI.

In Trustworthy AI, award-winning executive Beena Ammanath offers a practical approach for enterprise leaders to manage business risk in a world where AI is everywhere by understanding the qualities of trustworthy AI and the essential considerations for its ethical use within the organization and in the marketplace. The author draws from her extensive experience across different industries and sectors in data, analytics and AI, the latest research and case studies, and the pressing questions and concerns business leaders have about the ethics of AI.

With security scares like the Heartbleed bug (which compromised even supposedly safe internet behemoths like Google and Yahoo!) becoming more commonplace, this book is a must-listen for anybody who values their privacy in a wired world.

Claude Shannon was a tinkerer, a playful wunderkind, a groundbreaking polymath, and a digital pioneer whose insights made the Information Age possible. He constructed fire-breathing trumpets and customized unicycles, outfoxed Vegas casinos, and built juggling robots, but he also wrote the seminal text of the Digital Revolution. That work allowed scientists to measure and manipulate information as objectively as any physical object. His work gave mathematicians and engineers the tools to bring that world to pass.

One key responsibility of product designers and UX practitioners is to conduct formal and informal research to clarify design decisions and business needs. But there’s often mystery around product research, with the feeling that you need to be a research Zen master to gather anything useful. But anyone can conduct product research. With this quick reference guide, you’ll learn a common language and set of tools to help you carry out research in an informed and productive manner.

A comprehensive guide to understanding and utilizing AI effectively. This book provides listeners with a foundational understanding of AI and its potential applications, as well as practical insights and tools for implementing AI in their own work and personal lives. Whether you are a business leader, health-care professional, or simply someone interested in the world of AI, this book is an essential resource for navigating the future of this transformative technology.

High performing organizations see better results than their contemporaries and have more satisfied employees. This book clarifies this unique point in history where key technologies like AI, collaboration platforms, and low code development have converged to transform project and work management and provides practical strategies for seizing this moment to become a higher performing organization with happier people. In the ever-evolving landscape of business and technology, project management stands as a critical pillar, orchestrating the rhythm of progress and innovation.

In this book, I'll break down the complexities of AI into understandable, easy-to-apply concepts that anyone can grasp. Whether you are an entrepreneur, freelancer, student, or a nine-to-five employee, this book can help you adapt and know how to monetize. We provide different business examples, where you can use AI to scale quickly.

In an era where AI doesn’t just assist but interacts, learns, and collaborates, trust is no longer a one-way street. It’s now the new currency of power and relevance, reshaping how we connect across all levels: human to human, human to AI, and AI to AI. Mastering this multidirectional trust will unlock the jobs of the future and determine who thrives as traditional boundaries dissolve and influence is redefined.

Based on more than 40 interviews with Jobs conducted over two years - as well as interviews with more than a hundred family members, friends, adversaries, competitors, and colleagues - Walter Isaacson has written a riveting story of the roller-coaster life and searingly intense personality of a creative entrepreneur whose passion for perfection and ferocious drive revolutionized six industries: personal computers, animated movies, music, phones, tablet computing, and digital publishing.

In 2013 Evan Spiegel, the brash CEO of the social network Snapchat, and his co-founder Bobby Murphy stunned the press when they walked away from a three-billion-dollar offer from Facebook: how could an app teenagers use to text dirty photos dream of a higher valuation? Was this hubris, or genius? In How to Turn Down a Billion Dollars, tech journalist Billy Gallagher takes us inside the rise of one of Silicon Valley's hottest start-ups. Snapchat began as a late-night dorm room revelation, the brainchild of Stanford English major Reggie Brown who was nursing regrets about photos he had sent.