Learning Science

Compact Farms is a guide for anyone dreaming of starting, expanding, or perfecting a profitable farming enterprise on five acres or less. The farm plans explain how to harness an area's water supply, orientation, and geography in order to maximize efficiency and productivity while minimizing effort. Profiles of well-known farmers such as Eliot Coleman and Jean-Martin Fortier show that farming on a small scale in any region, in both urban and rural settings, can provide enough income to turn the endeavor from hobby to career.

What's more exciting than a prison break? Frank Morris and John and Clarence Anglin escaped from Alcatraz in 1962 and have never been caught. Many authorities are certain they died crossing San Francisco Bay. Relatives claim they made it to Brazil. The theories of what happened to them are endless.

In the 1950s, Confidential magazine, America's first celebrity scandal magazine, revealed Hollywood stars' secrets, misdeeds, and transgressions in gritty, unvarnished detail. Deploying a vast network of tipsters to root out stars' sexual affairs, drug use, and sexuality, publisher Robert Harrison destroyed celebrities' carefully constructed images and built a media empire. Confidential became the best-selling magazine on American newsstands in the 1950s, surpassing Time, Life, and the Saturday Evening Post. Confidential's spectacular rise was followed by an equally spectacular fall.

This helpful, plain-English guide provides need-to-know information on how to choose the right system, assure patients of the security of their records, and implement an EHR in such a way that it causes minimal disruption to the daily demands of a hospital or clinic.

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.

Millions of data enthusiasts from around the world compete on Kaggle, the most famous data science competition platform of them all. Participating in Kaggle competitions is a surefire way to improve your data analysis skills, network with an amazing community of data scientists, and gain valuable experience to help grow your career. The first audiobook of its kind, The Kaggle Book assembles in one place the techniques and skills you'll need for success in competitions, data science projects, and beyond.

This expertly crafted audiobook is your ultimate companion for PMP certification success. Designed by certified Project Management Professionals, it aligns perfectly with the latest PMI exam requirements.

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.

From best-selling author Jon Krakauer, a stark, powerful, meticulously reported narrative about a series of sexual assaults at the University of Montana - stories that illuminate the human drama behind the national plague of campus rape.

In the tradition of Dale Russakoff's The Prize and Dana Goldstein's The Teacher Wars, Wexler brings together history, research, and compelling characters to pull back the curtain on this fundamental flaw in our education system - one that fellow reformers, journalists, and policymakers have long overlooked, and of which the general public, including many parents, remains unaware.

How can you cheat… at drinking wine? It turns out you can. And when you do, a whole world of power, ego and money will unravel. Corked is the scandalous saga in the glamorous, competitive and mysterious world of fine wines.

Innovation expert Ted Dintersmith took an unprecedented trip across America, visiting all 50 states in a single school year. He originally set out to raise awareness about the urgent need to reimagine education to prepare students for a world marked by innovation, but America's teachers one-upped him. He met teachers in ordinary settings doing extraordinary things. Capturing bold ideas from teachers and classrooms across America, What School Could Be provides a realistic, and profoundly optimistic, roadmap for creating cultures of innovation and real learning in all our schools.

What would it take to transform industrial-era schools into modern organizations capable of supporting deep learning for all? Jal Mehta and Sarah Fine's quest to answer this question took them inside some of America's most innovative schools and classrooms - places where educators are rethinking both what and how students should learn. The story they tell is alternately discouraging and hopeful. Drawing on hundreds of hours of observations and interviews at 30 different schools, Mehta and Fine reveal that deeper learning is more often the exception than the rule.

A bonzer (p. 288) discussion of the strange but dinkum (p. 289) pedigree (p. 224) of the naughty (p. 202), nice (p. 212), and, sometimes, obscene (p. 217) English language. We live in a torrent of words — from radio and television, books and newspapers, and now from the internet. But, as Julian Burnside reminds us in this new edition of the bestselling Wordwatching, words are a source both of pleasure and power, and can be deployed for good or for ill.

Chatbots such as the infamous ChatGPT, robotic warehouses, computerized call centres and patient diagnosis. These are just a few of the areas where Artificial Intelligence (AI) and Machine Learning are being used to boost revenues, cut costs, save lives and improve customer experiences. As a result, organizations that understand these tools and know how to use them are benefiting at the expense of their rivals. This book cuts through the hype and technical jargon that one often finds when talking about AI and Machine Learning. It delivers a short, concise and non-technical guide for ...

Stop Forgetting 80% of What You Learn! Master Any Subject in Half the Time! Are you tired of reading, reviewing, or watching tutorials—only to realize you remember almost nothing? Layered Learning is your no-fluff system to conquer information overload, boost your memory, and power through any learning curve, whether you’re chasing top grades, upskilling for work, or simply hungry for new knowledge. Inside You’ll Discover: Layered Mastery: Break down complex topics into bite-sized layers so that you build a rock-solid foundation before diving deeper. Active Recall & Spaced Repetition:...

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.

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.

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.

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.