Book picks similar to
Statistics for Ecologists Using R and Excel: Data Collection, Exploration, Analysis and Presentation by Mark Gardener
statistics
science
stats
stats-and-r-etc
Mining of Massive Datasets
Anand Rajaraman - 2011
This book focuses on practical algorithms that have been used to solve key problems in data mining and which can be used on even the largest datasets. It begins with a discussion of the map-reduce framework, an important tool for parallelizing algorithms automatically. The authors explain the tricks of locality-sensitive hashing and stream processing algorithms for mining data that arrives too fast for exhaustive processing. The PageRank idea and related tricks for organizing the Web are covered next. Other chapters cover the problems of finding frequent itemsets and clustering. The final chapters cover two applications: recommendation systems and Web advertising, each vital in e-commerce. Written by two authorities in database and Web technologies, this book is essential reading for students and practitioners alike.
Why Quantum Physicists Create More Abundance
Greg Kuhn - 2013
You’ll find it fun to read too - written in simple, everyday language.And, if you’re like most people, you’ll find that learning “why” the law of attraction works will pour rocket fuel into your belief in it. And attaining such a level of belief will allow you to unleash the law of attraction more powerfully than you’ve done previously. Why Quantum Physicists Create More Abundance removes your barriers of doubt and resistance concerning the law of attraction. It can be a very powerful tool for you, helping you soar past previous frustrations and manifesting a life much more closely aligned with your dreams and desires.
Quantum Physics Made Easy: The Introduction Guide For Beginners Who Flunked Maths And Science In Plain Simple English
Donald B. Grey - 2019
99.99% of the world’s mysteries are yet to be discovered and/or solved.
Why not…
It’s time for you to rediscover science?
One of the most compelling draws of the sciences for many people is the potential of discovering something that was not known before. Whether someone’s doing it for fame, for fortune, or just for the fun of it, discovering something new, leaving your own personal mark for the rest of humanity’s time in the universe, is a tempting prospect for many.
How would you feel about naming a star, and for others to know that you named it? That star would be visible in the sky for the rest of your lifetime, and more than likely for your great-great-great-grandchildren’s lifetimes. Your discovery would be immortalized above for the life of the star.
Inside this book you will discover:
-String theory and how it came about -Black holes and quantum gravity -If Schrödinger’s Cat is really a cat? -Disagreements between Einstein and Bohr -The double slit experiment
Attention! Quantum Physics is NOT for everyone!
This book is not for people: -Who doesn’t want to impress their girl with science -Who are not curious about the universe -Who isn’t inspired to name their own science theory
If you are ready to learn about quantum physics, Scroll Up And Click On The “BUY NOW” Button Now!
Ancient Earth Mysteries
J.C. Vintner - 2011
It's extremely selfish to think we are the only existing intelligent life. Science and religion are on the verge of discovering the truth. Super ancient societies and their archaeological evidence uncovered to this day is a vault of stored information waiting to be unlocked. All we need to do is find the key. Help us uncover the truth by learning about Ancient Earth Mysteries.
An Introduction to Genetic Algorithms
Melanie Mitchell - 1996
This brief, accessible introduction describes some of the most interesting research in the field and also enables readers to implement and experiment with genetic algorithms on their own. It focuses in depth on a small set of important and interesting topics--particularly in machine learning, scientific modeling, and artificial life--and reviews a broad span of research, including the work of Mitchell and her colleagues.The descriptions of applications and modeling projects stretch beyond the strict boundaries of computer science to include dynamical systems theory, game theory, molecular biology, ecology, evolutionary biology, and population genetics, underscoring the exciting general purpose nature of genetic algorithms as search methods that can be employed across disciplines.An Introduction to Genetic Algorithms is accessible to students and researchers in any scientific discipline. It includes many thought and computer exercises that build on and reinforce the reader's understanding of the text. The first chapter introduces genetic algorithms and their terminology and describes two provocative applications in detail. The second and third chapters look at the use of genetic algorithms in machine learning (computer programs, data analysis and prediction, neural networks) and in scientific models (interactions among learning, evolution, and culture; sexual selection; ecosystems; evolutionary activity). Several approaches to the theory of genetic algorithms are discussed in depth in the fourth chapter. The fifth chapter takes up implementation, and the last chapter poses some currently unanswered questions and surveys prospects for the future of evolutionary computation.
Preparing to Teach in the Lifelong Learning Sector
Ann Gravells - 2008
This includes further education, adult and community learning, work-based learning, the forces and offender learning and skills. It is easy to read with plenty of practical activities and examples throughout and the content is fully linked to the Teacher Training Standards. Please note: This book has since been updated to reflect the new title of the qualification: The Award in Education and Training.The qualification unit content contained in the appendices has since changed, and some legislation mentioned in the book has been updated.
Visualize This: The FlowingData Guide to Design, Visualization, and Statistics
Nathan Yau - 2011
Wouldn't it be wonderful if we could actually visualize data in such a way that we could maximize its potential and tell a story in a clear, concise manner? Thanks to the creative genius of Nathan Yau, we can. With this full-color book, data visualization guru and author Nathan Yau uses step-by-step tutorials to show you how to visualize and tell stories with data. He explains how to gather, parse, and format data and then design high quality graphics that help you explore and present patterns, outliers, and relationships.Presents a unique approach to visualizing and telling stories with data, from a data visualization expert and the creator of flowingdata.com, Nathan Yau Offers step-by-step tutorials and practical design tips for creating statistical graphics, geographical maps, and information design to find meaning in the numbers Details tools that can be used to visualize data-native graphics for the Web, such as ActionScript, Flash libraries, PHP, and JavaScript and tools to design graphics for print, such as R and Illustrator Contains numerous examples and descriptions of patterns and outliers and explains how to show them Visualize This demonstrates how to explain data visually so that you can present your information in a way that is easy to understand and appealing.
Birdsong
Don Stap - 2005
Why does the chestnut-sided warbler sing one song before dawn and another after sunrise? Why does the brown thrasher have a repertoire of two thousand songs when the chipping sparrow has only one? And how is the hermit thrush able to sing a duet with itself, producing two sounds simultaneously to create its beautiful, flutelike melody?Stap's lucid prose distills the complexities of the study of birdsong and unveils a remarkable discovery that sheds light on the mystery of mysteries: why young birds in the suborder oscines -- the "true songbirds" -- learn their songs but the closely related suboscines are born with their songs genetically encoded. As the story unfolds, Stap contemplates our enduring fascination with birdsong, from ancient pictographs and early Greek soothsayers, who knew that bird calls represented the voices of the gods, to the story of Mozart's pet starling.In a modern, noisy world, it is increasingly difficult to hear those voices of the gods. Exploring birdsong takes us to that rare place -- in danger of disappearing forever -- where one hears only the planet's oldest music.
Forecasting: Principles and Practice
Rob J. Hyndman - 2013
Deciding whether to build another power generation plant in the next five years requires forecasts of future demand. Scheduling staff in a call centre next week requires forecasts of call volumes. Stocking an inventory requires forecasts of stock requirements. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly. Examples use R with many data sets taken from the authors' own consulting experience.
Force of Nature: The Unlikely Story of Wal-Mart's Green Revolution
Edward Humes - 2011
Lee Scott and white-water expert turned sustainability consultant Jib Ellison, the result is nothing less than a green business revolution.Wal-Mart—long the target of local businesses, labor advocates, and environmentalists who deplore its outsourced, big-box methods—has embraced an unprecedented green makeover, which is now spreading worldwide. The retail giant that rose from Sam Walton's Ozarks dime store is leveraging the power of 200 million weekly customers to drive waste, toxics, and carbon emissions out of its stores and products. Neither an act of charity nor an empty greenwash, Wal-Mart's green move reflects its river guide's simple, compelling philosophy: that the most sustainable, clean, energy-efficient, and waste-free company will beat its competitors every time. Not just in some distant, utopian future but today.From energy conservation, recycling, and hybrid trucks to reduced packaging and partnerships with environmentalists it once met only in court, Wal-Mart has used sustainability to boost its bottom line even in a tough economy—belying the age-old claim that going green kills jobs and profits. Now the global apparel business, the American dairy industry, big agriculture, and even Wall Street are following Wal-Mart's lead, along with the 100,000 manufacturers whose products must become more sustainable to remain on Wal-Mart's shelves. Here Pulitzer Prize winner and bestselling author Edward Humes charts the course of this unlikely second industrial revolution, in which corporate titans who once believed profit and planet must be at odds are learning that the best business just may be a force of nature.
This Won't Hurt Me A Bit: What it's really like to work in health care
Josh McAdams - 2019
Welcome to laughing until it hurts while covered in bodily fluids. Welcome to simple math at very high stakes. Welcome to an incredibly inappropriate sense of humor. Welcome to serving people on the most stressful days of their lives. Welcome to putting your hands in places you never imagined they'd be. Welcome to your front row seat to the ballad of life and death. That's not the welcome that this nurse was looking for, but that's the one he got. Irreverent and audacious, this brutally honest memoir covers what it’s like to come of age in an American Hospital. Welcome to a rollicking peak behind the curtain to what medical providers, and the health care system, are truly like.
Pattern Recognition and Machine Learning
Christopher M. Bishop - 2006
However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation. Similarly, new models based on kernels have had a significant impact on both algorithms and applications. This new textbook reflects these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners, and assumes no previous knowledge of pattern recognition or machine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.
The Lions of Tsavo: Exploring the Legacy of Africa's Notorious Man-Eaters
Bruce D. Patterson - 2004
. . Patterson's book must now be considered the definitive Tsavo lion study... one of the world's leading experts on lions as well as an important conservationist.--Publishers WeeklyThrough field research and forensic evidence, a scientist reveals his theory on why two Kenyan lions killed humans and then ate their preyIn March 1898, the British began building a bridge over the Tsavo River in East Africa. In nine months, two male lions killed and ate nearly 135 workers, halting construction.After a long hunt Colonel J. H. Patterson killed the lions, which are now on display at the Field Museum of Natural History in Chicago.As codirector of the Tsavo Research Project, Bruce Patterson has conducted extensive fieldwork throughout the region on these lions. In The Lions of Tsavo, Patterson retells the harrowing story of those bloody nights in Kenya. He presents new forensic evidence on these maneless lions and argues that the man-eating behavior exhibited in 1898 came from the encroachment of human populations on wild habitats.Patterson continues this theory by exploring man's interaction with the changing Kenyan environment, creating a complete, up-to-date, and scientific look behind this intriguing murder mystery.
The Art of R Programming: A Tour of Statistical Software Design
Norman Matloff - 2011
No statistical knowledge is required, and your programming skills can range from hobbyist to pro.Along the way, you'll learn about functional and object-oriented programming, running mathematical simulations, and rearranging complex data into simpler, more useful formats. You'll also learn to: Create artful graphs to visualize complex data sets and functions Write more efficient code using parallel R and vectorization Interface R with C/C++ and Python for increased speed or functionality Find new R packages for text analysis, image manipulation, and more Squash annoying bugs with advanced debugging techniques Whether you're designing aircraft, forecasting the weather, or you just need to tame your data, The Art of R Programming is your guide to harnessing the power of statistical computing.
Ask the Narcissist: The Answers to Your Questions
H.G. Tudor - 2016
The narcissist provides the direct and no-nonsense explanations and answers to the questions which matter most to you. The narcissist manages to keep a hook in you by leaving you with unanswered questions. These questions prevent you from gaining understanding, make you susceptible to the pull of the narcissist in the future and cause you untold anguish and anxiety. Not any more. A range of incisive questions covering the narcissistic spectrum of behaviours have been posed by those who have been on the receiving end of narcissistic behaviour. Real questions posed by those who know exactly what it is like to be held in the grasp of the narcissist. Real answers provided by the narcissist himself which will provide understanding, enlightenment and freedom.