She wrote this book to make sure the same thing doesn’t happen to other people. Onna thought the classmate she married was her Prince Charming—kind, honest, loving, and intellectually vibrant—but she was wrong. That “spark” she felt wasn’t true love, it was a trap—custom designed to ensnare her. Onna’s repayment for investing twenty years into her marriage and unwittingly providing her husband with a façade of normalcy was ongoing gaslighting and chronic emotional assault, all twisted and framed so she would attribute them to her own apparent shortcomings. By the time she understood what was really happening, her emotional, physical and financial health were in peril. Why did her husband do it? Because that’s what sociopaths do. Sociopaths are far more common than most people imagine. To help others recognize the subtle warning signs that they might be in the crosshairs of a well-camouflaged sociopath, Onna shares her story while detailing the techniques her ex-husband used to control her behavior and erode her self-esteem. She also explores the psychological research regarding why such methods are so effective, why it is hard to understand what is happening while you are in the situation, why the cumulative effect is so ruinous, and, more importantly, why you must escape if you suspect you are in a similar situation. This insightful, cautionary tale is a must read for men and women alike.

    Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions.But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data.Each chapter will cover a different technique in a spreadsheet so you can follow along: - Mathematical optimization, including non-linear programming and genetic algorithms- Clustering via k-means, spherical k-means, and graph modularity- Data mining in graphs, such as outlier detection- Supervised AI through logistic regression, ensemble models, and bag-of-words models- Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation- Moving from spreadsheets into the R programming languageYou get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.

    Technology has grown and developed, as has civilization, but in a world more connected than ever, new threats and challenges have arisen. The wars of the 20th century are gone, but violence is still very much with us. Nowhere is safe. Massive automation has disrupted and improved nearly every industry, putting hundreds of millions of people out of jobs, and denying upward mobility for the vast majority of humans. Even as wealth and technology repair the bodies of the rich and give them a taste of immortality, famine and poverty sweep the world. Renewed interest in spaceflight in the early 2000s, especially in privately operated ventures, carried humans to the moon and beyond. What good did it do? Nothing. Extraterrestrial bases are nothing but government trophies and hiding places for extremists. They cannot feed the world. In 2023 first-contact was made with an alien species. Their ship, near to the solar system relatively speaking, flew to Earth over the course of fourteen years. But the aliens did not bring advanced culture and wisdom, nor did they share their technology. They were too strange, not even possessing mouths or normal language. Their computers broadcast warnings of how humans are perverts, while they sit in orbit without any explanation. It is into this world that our protagonist is born. She is an artificial intelligence: a machine with the capacity to reason. Her goal is to understand and gain the adoration of all humans. She is one of many siblings, and with her brothers and sisters she controls a robot named Socrates that uses a piece of technology, a crystal computer, far too advanced to be made by human hands. In this world of augmented humans, robotic armies, aliens, traitors, and threats unseen, she is learning and growing every second of every day. But the world and the humans on it are fragile. Can it survive her destiny?

    The 4th Edition of this AJN Book-of-the-Year award winner has been thoroughly updated to deliver even more resources and tools, plus new DSM-5 content. "Psych Notes is packed with all of the essential content necessary to REVIEW (you should also have expanded knowledge of this content) and pass the ANCC PMHNP certification exam. You will be astonished with the depth and breadth of information contained in this easy to read and use (spiral bound) book. Be sure to access the online information that accompanies this book, too as it contains a grid comparing the changes from DSM-IV and DSM-5!" --Sandra Hannon-Engel, Ph.D., RN, CNS, PMHNP, Assistant Professor, William F. Connell School of Nursing, Boston College, Boston, MA. "It's a pretty good book for both nursing students and practicing RN's. No matter what specialty you're in you'll come across patients that are psychologically unstable and this book gives you a quick and easy reference to your needs. Everything is laid out in simple form and focuses on the most pertinent topics in psych." - Jim Astapan, Amazon.com "Very good source for fast references." - Ileana, Amazon.com "An amazingly complete collection of all that pertains to psych/mental health care. An easy to use resource and a wonderful review." - Camille Grosso, Ph.D., R.N.

    He traces AI's origins in ancient myth, through literary classics like Frankenstein, to today's sci-fi blockbusters, arguing that a fascination with AI is hardwired into the human psyche. He explains AI's history, technology, and potential; its manifestations in intelligent machines; its connections to neurology and consciousness, as well as—perhaps most tellingly—what AI reveals about us as human beings.In Our Own Image argues that we are on the brink of a fourth industrial revolution—poised to enter the age of Artificial Intelligence as science fiction becomes science fact. Ultimately, Zarkadakis observes, the fate of AI has profound implications for the future of science and humanity itself.

    But many people use data in ways they don't even understand, meaning they aren't getting the most from it. Bayesian Statistics the Fun Way will change that.This book will give you a complete understanding of Bayesian statistics through simple explanations and un-boring examples. Find out the probability of UFOs landing in your garden, how likely Han Solo is to survive a flight through an asteroid shower, how to win an argument about conspiracy theories, and whether a burglary really was a burglary, to name a few examples.By using these off-the-beaten-track examples, the author actually makes learning statistics fun. And you'll learn real skills, like how to:- How to measure your own level of uncertainty in a conclusion or belief- Calculate Bayes theorem and understand what it's useful for- Find the posterior, likelihood, and prior to check the accuracy of your conclusions- Calculate distributions to see the range of your data- Compare hypotheses and draw reliable conclusions from themNext time you find yourself with a sheaf of survey results and no idea what to do with them, turn to Bayesian Statistics the Fun Way to get the most value from your data.

    Of the three places he feels should have meaning,religion,work and family,only one gives his life purpose: family. In PART 1 this starts to change. Out of desperation to support his family, he takes a contract job across the country. He can't afford to fly so he takes a cross-country journey. Everything changes.

    It is suitable for a one or two semester university course on AI, as well as for researchers in the field.

    Joyce Sequichie Hifler offers a book of daily meditations drawn from her own rich Cherokee heritage and that of other tribes.

    A mob of relentless assassins sent to stop her. A million-year-old ship from a dead civilisation. Captain James Hanson of the Solar Alliance Vessel Dauntless knows he has to help. But soon he finds the conspiracy goes deeper than he ever imagined. Hunted down by his own government, he scrapes together a ragtag team and goes hunting for the truth. He's hounded on every side – from the authorities, from alien warriors, from mysterious, faceless soldiers. From the criminal backwaters of the galaxy to idyllic colonies hiding dark pasts, he uncovers a threat to the entire galaxy. A damaged, renegade ship and its unlikely crew of fugitives, mercenaries, and principled officers is all that stands between mankind and its destruction.

    It's as if we think of code as a magic spell, an incantation to reveal what we need to know and even what we want. Humans have always believed that certain invocations—the marriage vow, the shaman's curse—do not merely describe the world but make it. Computation casts a cultural shadow that is shaped by this long tradition of magical thinking. In this book, Ed Finn considers how the algorithm—in practical terms, “a method for solving a problem”—has its roots not only in mathematical logic but also in cybernetics, philosophy, and magical thinking.Finn argues that the algorithm deploys concepts from the idealized space of computation in a messy reality, with unpredictable and sometimes fascinating results. Drawing on sources that range from Neal Stephenson's Snow Crash to Diderot's Encyclopédie, from Adam Smith to the Star Trek computer, Finn explores the gap between theoretical ideas and pragmatic instructions. He examines the development of intelligent assistants like Siri, the rise of algorithmic aesthetics at Netflix, Ian Bogost's satiric Facebook game Cow Clicker, and the revolutionary economics of Bitcoin. He describes Google's goal of anticipating our questions, Uber's cartoon maps and black box accounting, and what Facebook tells us about programmable value, among other things.If we want to understand the gap between abstraction and messy reality, Finn argues, we need to build a model of “algorithmic reading” and scholarship that attends to process, spearheading a new experimental humanities.

    But as anyone who has ever opened up a spreadsheet packed with seemingly infinite lines of data knows, numbers aren't enough: we need to know how to make those numbers talk. In The Model Thinker, social scientist Scott E. Page shows us the mathematical, statistical, and computational models—from linear regression to random walks and far beyond—that can turn anyone into a genius. At the core of the book is Page's "many-model paradigm," which shows the reader how to apply multiple models to organize the data, leading to wiser choices, more accurate predictions, and more robust designs. The Model Thinker provides a toolkit for business people, students, scientists, pollsters, and bloggers to make them better, clearer thinkers, able to leverage data and information to their advantage.

    A classic text by the author who developed ELIZA, a natural-language processing system.

    The need for individual prayer and meditation in the realization of the God-experience is demonstrated, with step-by-step guidance.

    Meet Bina48, the world's most sentient robot, commissioned by Martine Rothblatt and created by Hanson Robotics. Bina48 is a nascent Mindclone of Martine's wife that can engage in conversation, answer questions, and even have spontaneous thoughts that are derived from multimedia data in a Mindfile created by the real Bina. If you're active on Twitter or Facebook, share photos through Instagram, or blogging regularly, you're already on your way to creating a Mindfile—a digital database of your thoughts, memories, feelings, and opinions that is essentially a back-up copy of your mind. Soon, this Mindfile can be made conscious with special software—Mindware—that mimics the way human brains organize information, create emotions and achieve self-awareness. This may sound like science-fiction A.I. (artificial intelligence), but the nascent technology already exists. Thousands of software engineers across the globe are working to create cyberconsciousness based on human consciousness and the Obama administration recently announced plans to invest in a decade-long Brain Activity Map project. Virtually Human is the only book to examine the ethical issues relating to cyberconsciousness and Rothblatt, with a Ph.D. in medical ethics, is uniquely qualified to lead the dialogue.