Genetics: A Conceptual Approach


Benjamin A. Pierce - 1997
    Based on the author’s 27 years of teaching experience, Genetics: A Conceptual Approach, Third Edition, builds upon features that have made past editions so successful:  an engaging writing style; relevant applications; an accessible and instructive art program; an emphasis on problem-solving; and, most importantly, a strong focus on concepts and connections.  To bring these key concepts into sharper focus, Ben Pierce has selectively reduced the amount of detail and has streamlined coverage to focus on essential concepts.

Genetics: From Genes to Genomes


Leland H. Hartwell - 1999
    Written by an author team, including a Noble Prize winner, this text presents the integration of Mendelian and molecular principles, providing students with the links between early genetics understanding and the molecular discoveries that have changed the way the field of genetics is viewed.

The Model Thinker: What You Need to Know to Make Data Work for You


Scott E. Page - 2018
    But as anyone who has ever opened up a spreadsheet packed with seemingly infinite lines of data knows, numbers aren't enough: we need to know how to make those numbers talk. In The Model Thinker, social scientist Scott E. Page shows us the mathematical, statistical, and computational models—from linear regression to random walks and far beyond—that can turn anyone into a genius. At the core of the book is Page's "many-model paradigm," which shows the reader how to apply multiple models to organize the data, leading to wiser choices, more accurate predictions, and more robust designs. The Model Thinker provides a toolkit for business people, students, scientists, pollsters, and bloggers to make them better, clearer thinkers, able to leverage data and information to their advantage.

Hands-On Machine Learning with Scikit-Learn and TensorFlow


Aurélien Géron - 2017
    Now that machine learning is thriving, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn how to use a range of techniques, starting with simple Linear Regression and progressing to Deep Neural Networks. If you have some programming experience and you’re ready to code a machine learning project, this guide is for you.This hands-on book shows you how to use:Scikit-Learn, an accessible framework that implements many algorithms efficiently and serves as a great machine learning entry pointTensorFlow, a more complex library for distributed numerical computation, ideal for training and running very large neural networksPractical code examples that you can apply without learning excessive machine learning theory or algorithm details

The Fractal Geometry of Nature


Benoît B. Mandelbrot - 1977
    The complexity of nature's shapes differs in kind, not merely degree, from that of the shapes of ordinary geometry, the geometry of fractal shapes.Now that the field has expanded greatly with many active researchers, Mandelbrot presents the definitive overview of the origins of his ideas and their new applications. The Fractal Geometry of Nature is based on his highly acclaimed earlier work, but has much broader and deeper coverage and more extensive illustrations.

McGraw-Hill's GED: The Most Complete and Reliable Study Program for the GED Tests


Patricia Mulcrone - 2001
    It offers targeted assessment, easy-to-follow instruction, hundreds of reinforcement activities, and simulated GED tests for all five GED subject areas: Test 1 Language Arts, Writing; Test 2 Social Studies; Test 3 Science; Test 4 Language Arts, Reading; Test 5 Mathematics. A half-length Pretest for each subject helps pinpoint strengths and weaknesses for targeting study. Clear instruction, followed by hundred of practice questions in official GED format help to build confidence. A Posttest for each subject is followed by a second Practice Test in official GED format to determine readiness for the actual test.

Dating a Widower: Starting a Relationship with a Man Who's Starting Over


Abel Keogh - 2011
    For it to work, the widower will have to put his feelings for his late wife to the side and focus on you. But how do you know if he’s ready to take this step?Drawing on his own experience as a widower who’s remarried, Abel Keogh gives you unique insight into the hearts and minds of widowers, including:* How to tell if a widower’s ready to make room in his heart for you * Red flags that may indicate he’s not ready for commitment* How to handle family and friends who aren’t supportive of the widower’s new relationship* Tips for dealing with holidays and other special occasionsDating a Widower is your 101 guide to having a relationship with a man who’s starting over. It also contains over a dozen real life stories from women who have gone down the same road you’re traveling. It’s the perfect book to help you decide if the man you’re seeing is ready for a new relationship—and whether or not dating a widower is right for you.

The Visual Display of Quantitative Information


Edward R. Tufte - 1983
    Theory and practice in the design of data graphics, 250 illustrations of the best (and a few of the worst) statistical graphics, with detailed analysis of how to display data for precise, effective, quick analysis. Design of the high-resolution displays, small multiples. Editing and improving graphics. The data-ink ratio. Time-series, relational graphics, data maps, multivariate designs. Detection of graphical deception: design variation vs. data variation. Sources of deception. Aesthetics and data graphical displays. This is the second edition of The Visual Display of Quantitative Information. Recently published, this new edition provides excellent color reproductions of the many graphics of William Playfair, adds color to other images, and includes all the changes and corrections accumulated during 17 printings of the first edition.

The Truthful Art: Data, Charts, and Maps for Communication


Alberto Cairo - 2016
     Every day, at work, home, and school, we are bombarded with vast amounts of free data collected and shared by everyone and everything from our co-workers to our calorie counters. In this highly anticipated follow-up to The Functional Art--Alberto Cairo's foundational guide to understanding information graphics and visualization--the respected data visualization professor explains in clear terms how to work with data, discover the stories hidden within, and share those stories with the world in the form of charts, maps, and infographics. In The Truthful Art, Cairo transforms elementary principles of data and scientific reasoning into tools that you can use in daily life to interpret data sets and extract stories from them. The Truthful Art explains: - The role infographics and data visualization play in our world - Basic principles of data and scientific reasoning that anyone can master - How to become a better critical thinker - Step-by-step processes that will help you evaluate any data visualization (including your own) - How to create and use effective charts, graphs, and data maps to explain data to any audience The Truthful Art is also packed with inspirational and educational real-world examples of data visualizations from such leading publications as The New York Times, The Wall Street Journal, Estado de S�o Paulo (Brazil), Berliner Morgenpost (Germany), and many more.

Epidemiology


Leon Gordis - 2000
    A clear, concise writing style and just the right dose of humor explain the role of epidemiology in measuring disease in a community, estimating risks, and influencing public policy and ethical concerns. Line diagrams, cartoons, and review questions with answers reinforce the text.The smart way to study!Elsevier titles with STUDENT CONSULT will help you master difficult concepts and study more efficiently in print and online! Perform rapid searches. Integrate bonus content from other disciplines. Download text to your handheld device. And a lot more. Each STUDENT CONSULT title comes with full text online, a unique image library, case studies, USMLE style questions, and online note-taking to enhance your learning experience.Your purchase of this book entitles you to access www.studentconsult.com at no extra charge. This innovative web site offers you... Access to the complete text and illustrations of this book. Integration links to bonus content in other STUDENT CONSULT titles.Content clipping for your handheld.An interactive community center with a wealth of additional resources. The more STUDENT CONSULT titles you buy, the more resources you can access online! Look for the STUDENT CONSULT logo on your favorite Elsevier textbooks!

Shriver & Atkins' Inorganic Chemistry


Peter Atkins - 2009
    Its unique 'Frontiers' chapters cover materials science, nanotechnology, catalysis, and biological inorganic chemistry, and have been fully updated to reflect advances in these key areas of contemporary research and industrial application.

Emergency Care and Transportation of the Sick and Injured


Andrew M. Pollack - 1971
    It Combines Comprehensive Medical Content With Dynamic New Features And Interactive Technology To Better Support Instructors And To Help Prepare Students For The Field. An Interactive Skills DVD Is Also Packaged Free With Each Copy Of The Text.

Wetware: A Computer in Every Living Cell


Dennis Bray - 2009
    Cells are built out of molecular circuits that perform logical operations, as electronic devices do, but with unique properties. Bray argues that the computational juice of cells provides the basis of all the distinctive properties of living systems: it allows organisms to embody in their internal structure an image of the world, and this accounts for their adaptability, responsiveness, and intelligence.In Wetware, Bray offers imaginative, wide-ranging and perceptive critiques of robotics and complexity theory, as well as many entertaining and telling anecdotes. For the general reader, the practicing scientist, and all others with an interest in the nature of life, the book is an exciting portal to some of biology’s latest discoveries and ideas.

R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics


Paul Teetor - 2011
    The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic tasks to input and output, general statistics, graphics, and linear regression.Each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works. If you're a beginner, R Cookbook will help get you started. If you're an experienced data programmer, it will jog your memory and expand your horizons. You'll get the job done faster and learn more about R in the process.Create vectors, handle variables, and perform other basic functionsInput and output dataTackle data structures such as matrices, lists, factors, and data framesWork with probability, probability distributions, and random variablesCalculate statistics and confidence intervals, and perform statistical testsCreate a variety of graphic displaysBuild statistical models with linear regressions and analysis of variance (ANOVA)Explore advanced statistical techniques, such as finding clusters in your dataWonderfully readable, R Cookbook serves not only as a solutions manual of sorts, but as a truly enjoyable way to explore the R language--one practical example at a time.--Jeffrey Ryan, software consultant and R package author

Data Science from Scratch: First Principles with Python


Joel Grus - 2015
    In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases