Machine Learning: Fundamental Algorithms for Supervised and Unsupervised Learning With Real-World Applications


Joshua Chapmann - 2017
    Right?! Machine Learning is a branch of computer science that wants to stop programming computers using a detailed list of commands to follow blindly. Instead, their aim is to implement high-level routines that teach computers how to approach new and unknown problems – these are called algorithms. In practice, they want to give computers the ability to Learn and to Adapt. We can use these algorithms to obtain insights, recognize patterns and make predictions from data, images, sounds or videos we have never seen before – or even knew existed. Unfortunately, the true power and applications of today’s Machine Learning Algorithms remain deeply misunderstood by most people. Through this book I want fix this confusion, I want to shed light on the most relevant Machine Learning Algorithms used in the industry. I will show you exactly how each algorithm works, why it works and when you should use it. Supervised Learning Algorithms K-Nearest Neighbour Naïve Bayes Regressions Unsupervised Learning Algorithms: Support Vector Machines Neural Networks Decision Trees

Elementary Statistics: Picturing the World


Ron Larson - 2002
    Offering an approach with a visual/graphical emphasis, this text offers a number of examples on the premise that students learn best by doing. This book features an emphasis on interpretation of results and critical thinking over calculations.

Code of War


J.W. Clay - 2021
    She's a skilled hacker, and her focus is Cyber Kinetic Eliminations--remote assassinations conducted with sophisticated computer systems.With a growing success rate, she's given the ultimate target: a Chinese General who's sole responsibility is the reformation of the People's Republican Army.Can Jen Yates are her team assassinate one of China's most influential men? Can they derail the Chinese Communist Party's reform regimen? Even the thought could have disastrous consequences ...

The R Book


Michael J. Crawley - 2007
    The R language is recognised as one of the most powerful and flexible statistical software packages, and it enables the user to apply many statistical techniques that would be impossible without such software to help implement such large data sets.

Honey from Stone: A Naturalist's Search for God


Chet Raymo - 1987
    As he wanders the land year upon year, Raymo gathers the revelations embedded in the geological and cultural history of this wild and ancient place. "When I called out for the Absolute, I was answered by the wind," Raymo writes. "If it was God's voice in the wind, then I heard it." In poetic prose grounded in a mind trained to discover fact, Honey from Stone enters the wonder of the material world in search of our deepest nature.

Mark of the Grizzly


Scott McMillion - 2011
    Sometimes grizzlies kill people, and in exceptionally rare cases they even eat them. Those incidents are the focus of this book because that's what makes bears so interesting, such a huge part of our culture and our collective imagination.

The Monty Hall Problem: The Remarkable Story of Math's Most Contentious Brain Teaser


Jason Rosenhouse - 2009
    Imagine that you face three doors, behind one of which is a prize. You choose one but do not open it. The host--call him Monty Hall--opens a different door, alwayschoosing one he knows to be empty. Left with two doors, will you do better by sticking with your first choice, or by switching to the other remaining door? In this light-hearted yet ultimately serious book, Jason Rosenhouse explores the history of this fascinating puzzle. Using a minimum ofmathematics (and none at all for much of the book), he shows how the problem has fascinated philosophers, psychologists, and many others, and examines the many variations that have appeared over the years. As Rosenhouse demonstrates, the Monty Hall Problem illuminates fundamental mathematical issuesand has abiding philosophical implications. Perhaps most important, he writes, the problem opens a window on our cognitive difficulties in reasoning about uncertainty.

Hit Down Dammit! (The Key to the Golf)


Clive Scarff - 2010
    Surprisingly, a great many players surveyed did not even know you need to hit down to get the ball up in the air. Hit Down @#!*% ! concisely explains the concept - and the technique - of hitting down at the golf ball for proper trajectory, increased backspin, much improved distance, proper divot taking, and best of all: consistent shotmaking.If you are inadvertently - or intentionally - hitting up at the ball, Hit Down @#!*% ! is for you. (Also available as DVD series, and MP3 download, all on Amazon.)If you are a seasoned amateur who has inexplicably “plateaud” - just cannot seem to get to the next level despite lessons and/or acquiring a library of books and videos - Hit Down @#!*% ! is for you.Symptoms of hitting up include (but are not limited to): - topping the ball- skulling the ball- pushing the ball- slicing the ball- poor distance- difficulty getting off back foot- poor backspin- no divot- fat divots- chunking the ball- thin/fat chip shots- roofing the ball with your driver- inability to hit long irons and/or fairway woods- good shots followed immediately by poor shotsHitting down at the golf ball is not a new concept, but it is a hitherto poorly explained (or completely avoided) concept. All pros agree on the need to hit down, so there is no debate there. Even Tiger Woods, in his 306 page “How I Play Golf”, states the need to hit down at the ball – but does not explain how. Hit Down @#!*% ! does. Learn to hit down, watch the ball go up, and your scores go down. BONUS: At the end of this book you will find a link to purchase the Hit Down @#!*% ! 4 DVD series and receive a full credit for the purchase of this Kindle ebook.

CISM Review Manual 2015


ISACA - 2005
    

Night Zero


Rob Horner - 2019
    The theory is sound, but something goes wrong, and a highly contagious combination of virus and prion is unleashed, a middle-stage organism too dangerous to test. With emergency services overwhelmed, a small community hospital tries to combat the unthinkable--an illness that causes aggression, spreads through violence, and won’t allow the dead to rest.

How to Do Ecology: A Concise Handbook


Richard Karban - 2006
    While these are essential, many young ecologists need to figure out how to actually do research themselves. How to Do Ecology provides nuts-and-bolts advice on how to develop a successful thesis and research program. This book presents different approaches to posing testable ecological questions. In particular, it covers the uses, strengths, and limitations of manipulative experiments in ecology. It will help young ecologists consider meaningful treatments, controls, replication, independence, and randomization in experiments, as well as where to do experiments and how to organize a season of work. This book also presents strategies for analyzing natural patterns, the value of alternative hypotheses, and what to do with negative results.Science is only part of being a successful ecologist. This engagingly written book offers students advice on working with other people and navigating their way through the land mines of research. Findings that don't get communicated are of little value. How to Do Ecology suggests effective ways to communicate information in the form of journal articles, oral presentations, and posters. Finally, it outlines strategies for developing successful grant and research proposals. Numerous checklists, figures, and boxes throughout the book summarize and reinforce the main points. In short, this book makes explicit many of the unspoken assumptions behind doing good research in ecology, and provides an invaluable resource for meaningful conversations among ecologists.

Fundamental of Applied Statistics


S.C. Gupta
    

The Drunkard's Walk: How Randomness Rules Our Lives


Leonard Mlodinow - 2008
    From the classroom to the courtroom and from financial markets to supermarkets, Mlodinow's intriguing and illuminating look at how randomness, chance, and probability affect our daily lives will intrigue, awe, and inspire.

Birds of Minnesota Field Guide


Stan Tekiela - 1998
    There's no need to look through dozens of photos of birds that don't live in Minnesota. This book features 111 species of Minnesota birds, organized by color for ease of use. Do you see a yellow bird and don't know what it is? Go to the yellow section to find out. Fact-filled information, a compare feature, range maps and detailed photographs help to ensure that you positively identify the birds that you see.

Stories from the Emergency Department


Mary Beth Engrav - 2011
    Real stories about the patients, nurses, consulting physicians, and daily life of a busy Emergency Department. Get a glimpse inside the inner workings of an Emergency Department and the staff that works there, caring for patients and their families. From a toddler who can cuss a blue streak, a dead mouse brought into the Emergency Department, to critical resuscitations, these are stories that you will never forget.