Together, we own and run TWO successful blogs! We went from $0 to over $103,457.98 in our first year of blogging, and we now make over $100,000 per month between both of our combined blogs, and we’re going to tell you EXACTLY how we got started in this eBook. It’s going to include the ups and the downs, the great successes and the complete and utter failures, and all of the steps in between.

    Now in it's tenth edition, this text makes chemistry exciting to students by showing them why important concepts are relevant to their lives and future careers.

    It explains what makes some graphs succeed while others fail, how to make high-quality figures from data using powerful and reproducible methods, and how to think about data visualization in an honest and effective way.Data Visualization builds the reader's expertise in ggplot2, a versatile visualization library for the R programming language. Through a series of worked examples, this accessible primer then demonstrates how to create plots piece by piece, beginning with summaries of single variables and moving on to more complex graphics. Topics include plotting continuous and categorical variables; layering information on graphics; producing effective "small multiple" plots; grouping, summarizing, and transforming data for plotting; creating maps; working with the output of statistical models; and refining plots to make them more comprehensible.Effective graphics are essential to communicating ideas and a great way to better understand data. This book provides the practical skills students and practitioners need to visualize quantitative data and get the most out of their research findings.Provides hands-on instruction using R and ggplot2Shows how the "tidyverse" of data analysis tools makes working with R easier and more consistentIncludes a library of data sets, code, and functions

    Success isn't defined by getting papers into print, but by getting them into the reader's consciousness. Writing Science is built upon the idea that successful science writing tells a story.It uses that insight to discuss how to write more effectively. Integrating lessons from other genres of writing with those from the author's years of experience as author, reviewer, and editor, the book shows scientists and students how to present their research in a way that is clear and that willmaximize reader comprehension.The book takes an integrated approach, using the principles of story structure to discuss every aspect of successful science writing, from the overall structure of a paper or proposal to individual sections, paragraphs, sentences, and words. It begins by building core arguments, analyzing why somestories are engaging and memorable while others are quickly forgotten, and proceeds to the elements of story structure, showing how the structures scientists and researchers use in papers and proposals fit into classical models. The book targets the internal structure of a paper, explaining how towrite clear and professional sections, paragraphs, and sentences in a way that is clear and compelling. The ideas within a paper should flow seamlessly, drawing readers along. The final section of the book deals with special challenges, such as how to discuss research limitations and how to writefor the public.Writing Science is a much-needed guide to succeeding in modern science. Its insights and strategies will equip science students, scientists, and professionals across a wide range of scientific and technical fields with the tools needed to communicate effectively.

    You'll master the skills and techniques taught at the U.S. Olympic Training Center by legendary coach KiSik Lee. Then you'll prepare for competition:- Select and properly tune equipment.- Develop a winning shot sequence.- Set up, draw, and complete the shot.- Maximize practice time.- Train physically and mentally for competition.- Develop a successful tournament strategy.Developed by USA Archery, " Archery "is an invaluable resource you'll refer to again and again.

    Another bolts across a busy parking lot, turns and smiles at his mom. An eighteen-year-old student bursts into tears when asked to change activities at school. Sound familiar? These and other common behavior issues in children with Down syndrome can quickly become engrained and may even persist into adulthood. No parent wants that to happen, and thankfully, help is available! Dr. David Stein, a psychologist and Co-Director of the Down Syndrome Program at Boston Children's Hospital, shares his approach to behavior management in this new book for parents. Supporting Positive Behavior in Children and Teens with Down Syndrome examines how the brain of a person with Down syndrome works, how those differences impact behavior, and why bad behavior should not be viewed as a willful act. Governed by this new awareness, parents are in a better position to change and manage their child's behavior using these guiding principles: [[Be proactive, not reactive [[Be consistent [[Use visual schedules & Social Stories to direct behavior [[Develop a token reward chart [[Keep gut reactions in check [[Teach siblings to ignore bad behavior [[Learn effective disciplinary techniques [[Know when professional help is needed Some of these parenting concepts are intuitive, others are not, but when they are followed consistently, children and teens with Down syndrome do their best behaviorally and the parent-child relationship remains as positive and loving as it should be.

    Its techniques are widely applied in engineering, science, finance, and commerce. This book is designed for a short course on machine learning. It is a short course, not a hurried course. From over a decade of teaching this material, we have distilled what we believe to be the core topics that every student of the subject should know. We chose the title `learning from data' that faithfully describes what the subject is about, and made it a point to cover the topics in a story-like fashion. Our hope is that the reader can learn all the fundamentals of the subject by reading the book cover to cover. ---- Learning from data has distinct theoretical and practical tracks. In this book, we balance the theoretical and the practical, the mathematical and the heuristic. Our criterion for inclusion is relevance. Theory that establishes the conceptual framework for learning is included, and so are heuristics that impact the performance of real learning systems. ---- Learning from data is a very dynamic field. Some of the hot techniques and theories at times become just fads, and others gain traction and become part of the field. What we have emphasized in this book are the necessary fundamentals that give any student of learning from data a solid foundation, and enable him or her to venture out and explore further techniques and theories, or perhaps to contribute their own. ---- The authors are professors at California Institute of Technology (Caltech), Rensselaer Polytechnic Institute (RPI), and National Taiwan University (NTU), where this book is the main text for their popular courses on machine learning. The authors also consult extensively with financial and commercial companies on machine learning applications, and have led winning teams in machine learning competitions.

    

    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.

    It also includes a major study on suicide and case studies.

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    From the conquest of Mexico by smallpox as much as by the Spanish, to the bubonic plague in China, to the typhoid epidemic in Europe, the history of disease is the history of humankind. With the identification of AIDS in the early 1980s, another chapter has been added to this chronicle of events, which William McNeill explores in his new introduction to this updated editon.Thought-provoking, well-researched, and compulsively readable, Plagues and Peoples is that rare book that is as fascinating as it is scholarly, as intriguing as it is enlightening. "A brilliantly conceptualized and challenging achievement" (Kirkus Reviews), it is essential reading, offering a new perspective on human history.

    Yet despite a century of medical progress, viral and bacterial disasters continue to take us by surprise, inciting panic and dominating news cycles. From the Spanish flu to the 1924 outbreak of pneumonic plague in Los Angeles to the 1930 “parrot fever” pandemic, through the more recent SARS, Ebola, and Zika epidemics, the last one hundred years have been marked by a succession of unanticipated pandemic alarms.In The Pandemic Century, a lively account of scares both infamous and less known, Mark Honigsbaum combines reportage with the history of science and medical sociology to artfully reconstruct epidemiological mysteries and the ecology of infectious diseases. We meet dedicated disease detectives, obstructive or incompetent public health officials, and brilliant scientists often blinded by their own knowledge of bacteria and viruses. We also see how fear of disease often exacerbates racial, religious, and ethnic tensions—even though, as the epidemiologists Malik Peiris and Yi Guan write, “‘nature’ remains the greatest bioterrorist threat of all.”Like man-eating sharks, predatory pathogens are always present in nature, waiting to strike; when one is seemingly vanquished, others appear in its place. These pandemics remind us of the limits of scientific knowledge, as well as the role that human behavior and technologies play in the emergence and spread of microbial diseases.

    Written by medical students and reviewed by top faculty, this unique book provides practical, tested advice for acing the USMLE Step 2 CK.

    It presents the important traditional content of mineralogy including crystallography, chemical bonding, controls on mineral structure, mineral stability, and crystal growth to provide a foundation that enables students to understand the nature and occurrence of minerals. Physical, optical, and X-ray powder diffraction techniques of mineral study are described in detail, and common chemical analytical methods are outlined as well. Detailed descriptions of over 100 common minerals are provided, and the geologic context within which these minerals occur is emphasized. Appendices provide tables and diagrams to help students with mineral identification, using both physical and optical properties. Numerous line drawings, photographs, and photomicrographs help make complex concepts understandable. Introduction to Mineralogy not only provides specific knowledge about minerals but also helps students develop the intellectual tools essential for a solid, scientific education. This comprehensive text is useful for undergraduate students in a wide range of mineralogy courses.