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Prescriptive Stretching


Kristian Berg - 1994
    What you might not know is that many of those targeted stretches have a much broader application, one that you can easily incorporate into your daily routine: pain relief.PrescriptiveStretching features full-color anatomical illustrations and step-by-step instructions for 40 of the most effective stretches to eliminate pain, alleviate muscle soreness, improve balance and flexibility, and prevent common injuries. In addition, you'll find sample stretching programs that you can follow as is or personalize to meet your body's needs.Best of all, PrescriptiveStretching shows you how to quickly assess your pain and identify the stretches to reduce discomfort. Specifically, you'll find recommendations for these common ailments:-Headache-Back pain-Neck stiffness-Shoulder soreness-Golfer's elbow-Tennis elbow-Runner's kneeWhether you're looking to increase range of motion or simply eliminate muscle pain and discomfort, PrescriptiveStretching has you covered. Comprehensive yet easy to use, it's the guide you'll turn to again and again.

Jardan, the King


C.J. Johnson - 2009
     For more than 2,000 years they have been unable to produce female children so now they must travel to other planets for their brides. Coming Soon: The Men of Anderas III: Talon If you enjoyed this book, be sure to checkout these other exciting titles available from New Concepts Publishing: The Men of Anderas II: Dak the Protector by C.J. Johnson Dragons of the Dawn by Kaitlyn O'Connor Unbridled by Raven Willow-Wood

Doing Math with Python


Amit Saha - 2015
    Python is easy to learn, and it's perfect for exploring topics like statistics, geometry, probability, and calculus. You’ll learn to write programs to find derivatives, solve equations graphically, manipulate algebraic expressions, even examine projectile motion.Rather than crank through tedious calculations by hand, you'll learn how to use Python functions and modules to handle the number crunching while you focus on the principles behind the math. Exercises throughout teach fundamental programming concepts, like using functions, handling user input, and reading and manipulating data. As you learn to think computationally, you'll discover new ways to explore and think about math, and gain valuable programming skills that you can use to continue your study of math and computer science.If you’re interested in math but have yet to dip into programming, you’ll find that Python makes it easy to go deeper into the subject—let Python handle the tedious work while you spend more time on the math.

Natural Language Processing with Python


Steven Bird - 2009
    With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication.Packed with examples and exercises, Natural Language Processing with Python will help you: Extract information from unstructured text, either to guess the topic or identify "named entities" Analyze linguistic structure in text, including parsing and semantic analysis Access popular linguistic databases, including WordNet and treebanks Integrate techniques drawn from fields as diverse as linguistics and artificial intelligenceThis book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful.

The Accused


Jeffrey Archer - 2000
    The audience must decide - did Dr Sherwood murder his wife? Was Jennifer Mitchell his mistress? Which of his alibis should they believe?

Stone Dragon


Klay Testamark - 2013
    Dwarves are mystical craftsmen, humans are big and strong, and halflings breed explosively, but none of them can match elves for sheer magical firepower.Angrod Veneanar is a young elf. He’s nearing the end of a long apprenticeship and looking forward to going home. As a nobleman he loves wine and women—he doesn’t care at all about shadow conspiracies, forgotten magics, or long-lost royal heirs. Unfortunately, there is a prophecy, and it looks like he’s in it.Now he’s on the run. Accused of murder, what seems like the entire kingdom wants him dead. He has knights, mages, and even arcane assassins on his trail. Worse, something is riding in his head and threatening to take over his body.To survive, Angrod must use all his skill in weapons and wizardry. He must find new allies and uncover fresh strength. And if he is to stand a chance of defeating his greatest enemy, he must rediscover a master spell that’s been lost for centuries. If he doesn’t, he’s just going home—to die.

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 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.

About Face: Amazing Transformations Using the Secrets of the Top Celebrity Makeup Artist


Scott Barnes - 2010
    About Face is packed with techniques for every area of makeup application. Part One focuses on dramatic makeovers of real women with a twist: each woman comes in looking the best she thinks she can look. The author then deconstructs and debunks their look taking them from attractive to amazing. Step-by-step photos outline makeup techniques and products while Scott provides commentary on how he pinpointed the woman’s strongest asset and built a look around it. Part Two highlights beauty rituals, must-have makeup items, and inner and outer preparations that a woman must embrace in order to look beautiful and radiate charisma. Part Three focuses on the celebrities Scott Barnes has worked with.

How Numbers Work: Discover the Strange and Beautiful World of Mathematics (New Scientist Instant Expert)


New Scientist - 2018
    No, hang on, let's make this interesting. Between zero and infinity. Even if you stick to the whole numbers, there are a lot to choose from - an infinite number in fact. Throw in decimal fractions and infinity suddenly gets an awful lot bigger (is that even possible?) And then there are the negative numbers, the imaginary numbers, the irrational numbers like pi which never end. It literally never ends.The world of numbers is indeed strange and beautiful. Among its inhabitants are some really notable characters - pi, e, the "imaginary" number i and the famous golden ratio to name just a few. Prime numbers occupy a special status. Zero is very odd indeed: is it a number, or isn't it?How Numbers Work takes a tour of this mind-blowing but beautiful realm of numbers and the mathematical rules that connect them. Not only that, but take a crash course on the biggest unsolved problems that keep mathematicians up at night, find out about the strange and unexpected ways mathematics influences our everyday lives, and discover the incredible connection between numbers and reality itself. ABOUT THE SERIESNew Scientist Instant Expert books are definitive and accessible entry points to the most important subjects in science; subjects that challenge, attract debate, invite controversy and engage the most enquiring minds. Designed for curious readers who want to know how things work and why, the Instant Expert series explores the topics that really matter and their impact on individuals, society, and the planet, translating the scientific complexities around us into language that's open to everyone, and putting new ideas and discoveries into perspective and context.

Machine Learning for Hackers


Drew Conway - 2012
    Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-on case studies, instead of a traditional math-heavy presentation.Each chapter focuses on a specific problem in machine learning, such as classification, prediction, optimization, and recommendation. Using the R programming language, you'll learn how to analyze sample datasets and write simple machine learning algorithms. "Machine Learning for Hackers" is ideal for programmers from any background, including business, government, and academic research.Develop a naive Bayesian classifier to determine if an email is spam, based only on its textUse linear regression to predict the number of page views for the top 1,000 websitesLearn optimization techniques by attempting to break a simple letter cipherCompare and contrast U.S. Senators statistically, based on their voting recordsBuild a "whom to follow" recommendation system from Twitter data

Boat to Baguette: A humorous memoir of a sea change to a French adventure


Hettie Ashwin - 2017
     Napoleon Bonaparte These prophetic words are the beginning of an adventure. When two intrepid Aussies decide to buy a house in France after living on a boat for 11 years, they get more than baguettes and stinky cheese. Wonderful neighbours, horrible drains, fabulous wine, French taxes. Boat to Baguette is a humorous rollercoaster ride as Hettie and Boomie make France their new home.

Compassion Amidst the Chaos: Tales told by an ER Doc


Christopher Davis, MD - 2020
    You meet one when life doesn't go as planned. Survival requires immediate dependence and trust in a stranger in a white coat. As soon as the imminent danger has passed— they are off to the next case. Many patients don't realize that their stories stay with those that served them. Patients have the most to teach about humility and humanity."Compassion Amidst the Chaos" is brimming with the tension, anguish, exhaustion, relief, gratitude, and compassion that are all part of a typical day at work in the ER. Travel with Dr. Chris Davis through the cases he remembers most from his 35-year career as an emergency medicine doctor.

Wanting to Be Her: Body Image Secrets Victoria Won't Tell You


Michelle Graham - 2005
    When you go to the health club, you notice how buff the woman to the left is and how skinny the woman to the right is. And when you go out, you see the guys flocking to talk with certain women and wonder if your looks stack up to theirs. When you get dressed in the morning, do you worry about whether your jeans are flattering? Do you think about who you are going to see when you decide how to do your hair? When you eat a meal, do you think about those magazine models again? Most women do. And they are buying into a lie. In this book Michelle Graham reveals how easy it is to fall into the trap of viewing your body through the lens of culture rather than through the eyes of God. She helps you understand that these are not the things that God wants you to dwell on. And these are not the true qualities of beauty. As you read this book you will discover that beauty comes in all shapes, sizes and colors, and it cannot be airbrushed or faked. In these pages you will discover the true secrets of a positive body image.

Data Mining: Practical Machine Learning Tools and Techniques


Ian H. Witten - 1999
    This highly anticipated fourth edition of the most ...Download Link : readmeaway.com/download?i=0128042915            0128042915 Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) PDF by Ian H. WittenRead Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) PDF from Morgan Kaufmann,Ian H. WittenDownload Ian H. Witten's PDF E-book Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems)