Learning Science

What began as an off-campus team party with two hired strippers accelerated into a rape investigation - one that exposed prosecutorial misconduct, shoddy police work, an administration's rush to judgment, and the media's disregard for the facts. In It's Not About the Truth, Mike Pressler, the former Duke University lacrosse team's coach, and best-selling author Don Yaeger expose vivid details, including the day Pressler was fired.

Joshua R. Eyler identifies five broad themes running through recent scientific inquiry - curiosity, sociality, emotion, authenticity, and failure - devoting a chapter to each and providing practical takeaways for busy teachers. He also interviews and observes college instructors across the country, placing theoretical insight in dialogue with classroom experience.

Do you ever feel like you're too busy, too stressed, or just too distracted to concentrate and get work done? In Unlimited Memory you'll learn how the world's best memory masters get themselves to concentrate at will, anytime they want. When you can easily focus and concentrate on the task at hand and store and recall useful information, you can easily double your productivity and eliminate wasted time, stress, and mistakes at work. In this book you'll find all the tools, strategies, and techniques you need to improve your memory.

Artificial intelligence is smarter than humans. It can process information at lightning speed and remain focused on specific tasks without distraction. AI can see into the future, predicting outcomes and even use sensors to see around physical and virtual corners. So why does Intelligence frequently get it so wrong? The answer is us. Humans design the algorithms that define the way that AI works and the processed information reflects an imperfect world.

In July 1995, San Jose Mercury-News reporter Gary Webb found the Big One - the blockbuster story every journalist secretly dreams about - without even looking for it. A simple phone call concerning an unexceptional pending drug trial turned into a massive conspiracy involving the Nicaraguan Contra rebels, L.A. and Bay Area crack cocaine dealers, and the Central Intelligence Agency.

Este audiolibro te presentará el mundo digital. La ciencia de datos es uno de los campos más sorprendentes y de tendencia en la era digital. La ciencia de datos es lo que nos hace humanos como somos hoy. No se limita a las tecnologías controladas por computadora, este audiolibro lo guiará para visualizar los hechos digitales y las conexiones de nuestro cerebro con la ciencia de datos, cómo sacar conclusiones de información simple y cómo desarrollar patrones para comprender diferentes soluciones para un problema similar.

You don't have to be a computer scientist to have discerning conversations about artificial intelligence and technology. We all wonder where we're headed. Even now, technological innovations and machine learning have a daily impact on our lives, and many of us see good reasons to dread the future. Are we doomed to the surveillance society imagined in George Orwell's 1984? Mathematician and philosopher John Lennox believes that there are credible responses to the daunting questions that AI poses.

Neuroscientists and cognitive scientists have made enormous strides in understanding the brain and how we learn, but little of that insight has filtered down to the way teachers teach. Uncommon Sense Teaching applies this research to the classroom for teachers, parents, and anyone interested in improving education.

Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us - and to make decisions on our behalf. But alarm bells are ringing. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole - and appear to assess black and white defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And autonomous vehicles on our streets can injure or kill.

From an early age, it is drilled into our heads: Restlessness, distraction, and ignorance are the enemies of success. We’re told that learning is all self-discipline, that we must confine ourselves to designated study areas, turn off the music, and maintain a strict ritual if we want to ace that test, memorize that presentation, or nail that piano recital. But what if almost everything we were told about learning is wrong?

Must Learn KQL - the blog series, the book, the video channel, the merch store After hearing that our customers’ largest barrier to using things like Defender, Microsoft Sentinel, and even reporting for Microsoft Intune is KQL - the query language - that was a wake-up call for me. And, of course, (if you know me) I wanted to do something about it. So, the Must Learn KQL learning was born. KQL is a beautifully simple query language to learn. And believe me – if I can learn it, there’s no question that anyone can learn it. After hearing that from our customers and after researching and ...

Deep Learning with Python (Second Edition) introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you’ll build your understanding through intuitive explanations and clear examples. You’ll quickly pick up the skills you need to start developing deep learning applications.

Need networking know-how, but don't know where to turn? Run-don't walk-to the no-nonsense networking guidance offered in this friendly guide! Whether you're a networking administrator or an everyday computer user looking to set up a network in your home or office, Networking for Dummies, seamlessly gets you connected with the basics and gives you the knowledge to work out whatever kinks may come your way-in no time.

Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. The book addresses real-life problems faced by practitioners on a daily basis and explains scientifically sound solutions using math, supported by code and examples.

Stylish Academic Writing showcases a range of scholars from the sciences, humanities, and social sciences who write with vividness and panache. Individual chapters take up specific elements of style, such as titles and headings, chapter openings, and structure, and close with examples of transferable techniques that any writer can master.

Leaders already know that the classic approach to strategy - analyze, plan, execute - is losing relevance. But they don't yet know what replaces it. As everyone and everything becomes more interconnected and digitized, how do you operate, compete, and win? Ming Zeng, the former chief of staff and strategy adviser to Alibaba Group's founder, Jack Ma, explains how the latest technological developments, such as artificial intelligence, machine learning, the mobile internet, and cloud computing, are redefining how value is created.

First published in Portuguese in 1968, Pedagogy of the Oppressed was translated and published in English in 1970. Paulo Freire's work has helped to empower countless people throughout the world and has taken on special urgency in the United States and Western Europe, where the creation of a permanent underclass among the underprivileged and minorities in cities and urban centers is ongoing. This 50th anniversary edition includes an updated introduction by Donaldo Macedo, a new afterword by Ira Shor, and many inspirational interviews.

As tech products become more prevalent today, the demand for machine learning professionals continues to grow. But the responsibilities and skill sets required of ML professionals still vary drastically from company to company, making the interview process difficult to predict. In this guide, data science leader Susan Shu Chang shows you how to tackle the ML hiring process. She'll take you through the highly selective recruitment process by sharing hard-won lessons she learned along the way.

Expand your skills from being a basic data scientist to becoming an expert data scientist ready to solve real-world data-centric issues. Discover two comprehensive manuscripts in one audiobook.

This book consists of 6 titles, namely: Assembly Language: The Ultimate Guide to Programming and Virtual Machines. Computer Science: The Complete Guide to Principles and Informatics. Cyber Security: Beginners’ Guide to Hacking, Phishing, Social Engineering, and Malware. Databases: System Concepts, Designs, Management, and Implementation. Operating Systems: Concepts to Save Money, Time, and Frustration. Website Development: Web Design Skills for Beginners