I am blown away by the results I have achieved and the energy that I have felt. I'm happy too! I haven't felt genuinely giddy and happy in a while. I am so thankful to have found a program that works." —Brandi O. "When I tell you that FASTer Way changed my life, it CHANGED MY LIFE. When I look at my before photo, I see someone who was unhappy with herself, someone who hated taking pictures, someone who was always exhausted and couldn't figure out why! But the person I see now? She's happy! She's confident! She's full of energy! She's ready to take on her day! I'm never going back." —Deanna S. "I can now say that FASTer Way has saved my life and brought ME back!" —Kelly P.

    mean, margin of error, standard deviation, permutations, and correlations-all using Excel

    We are living in an age where data comes in abundance, and thanks to the self-learning algorithms from the field of machine learning, we can turn this data into knowledge. Automated speech recognition on our smart phones, web search engines, e-mail spam filters, the recommendation systems of our favorite movie streaming services – machine learning makes it all possible.Thanks to the many powerful open-source libraries that have been developed in recent years, machine learning is now right at our fingertips. Python provides the perfect environment to build machine learning systems productively.This book will teach you the fundamentals of machine learning and how to utilize these in real-world applications using Python. Step-by-step, you will expand your skill set with the best practices for transforming raw data into useful information, developing learning algorithms efficiently, and evaluating results.You will discover the different problem categories that machine learning can solve and explore how to classify objects, predict continuous outcomes with regression analysis, and find hidden structures in data via clustering. You will build your own machine learning system for sentiment analysis and finally, learn how to embed your model into a web app to share with the world

     The tales are far too common to be complete fabrications, yet too anecdotal and outside the medical mainstream to be taken seriously scientifically. How do we explain them and the growing popularity of alternative medicine more generally? Is there a biological basis for practices like acupuncture, tai chi, chiropractic, and energy healing? Who are the faithful patients and practitioners who tell these stories and speak of such mystical-seeming concepts as qi, chakras, and meridians in the first place? In The Magic Feather Effect, author and journalist Melanie Warner attempts to answer these questions, taking us on a vivid, fascinating journey through the world of alternative medicine. Crossing continents and sides of the debate, visiting prestigious research clinics and ordinary people’s homes, she investigates the scientific underpinning for the purportedly magical results of these practices and reveals not only the medical power of beliefs and placebo effects, but also the range, limits, and uses of the surprising system of self-healing that resides inside us. Equal parts helpful, illuminating, and compelling, The Magic Feather Effect is a brilliant exploration of some of the world’s most popular health treatments, the people who seek them, the scientists who study them, and the reasons they may work.

    But if code isn't clean, it can bring a development organization to its knees. Every year, countless hours and significant resources are lost because of poorly written code. But it doesn't have to be that way. Noted software expert Robert C. Martin presents a revolutionary paradigm with Clean Code: A Handbook of Agile Software Craftsmanship . Martin has teamed up with his colleagues from Object Mentor to distill their best agile practice of cleaning code on the fly into a book that will instill within you the values of a software craftsman and make you a better programmer but only if you work at it. What kind of work will you be doing? You'll be reading code - lots of code. And you will be challenged to think about what's right about that code, and what's wrong with it. More importantly, you will be challenged to reassess your professional values and your commitment to your craft. Clean Code is divided into three parts. The first describes the principles, patterns, and practices of writing clean code. The second part consists of several case studies of increasing complexity. Each case study is an exercise in cleaning up code - of transforming a code base that has some problems into one that is sound and efficient. The third part is the payoff: a single chapter containing a list of heuristics and "smells" gathered while creating the case studies. The result is a knowledge base that describes the way we think when we write, read, and clean code. Readers will come away from this book understanding ‣ How to tell the difference between good and bad code‣ How to write good code and how to transform bad code into good code‣ How to create good names, good functions, good objects, and good classes‣ How to format code for maximum readability ‣ How to implement complete error handling without obscuring code logic ‣ How to unit test and practice test-driven development This book is a must for any developer, software engineer, project manager, team lead, or systems analyst with an interest in producing better code.

    Two children vacationing on a Greek isle in the Ionian sea devise a plan where by stolen donkeys save the land of a friend from having the mortgage foreclosed.

    It’s already happening in impressive ways. But as we’ve witnessed over the past 20 years, new technology also inevitably raises complex questions and broad societal concerns.” – Brad Smith and Harry Shum on The Future Computed. “As we look to a future powered by a partnership between computers and humans, it’s important that we address these challenges head on. How do we ensure that AI is designed and used responsibly? How do we establish ethical principles to protect people? How should we govern its use? And how will AI impact employment and jobs?” – Brad Smith and Harry Shum on The Future Computed. As Artificial Intelligence shows up in every aspect of our lives, Microsoft's top minds provide a guide discussing how we should prepare for the future. Whether you're a government leader crafting new laws, an entrepreneur looking to incorporate AI into your business, or a parent contemplating the future of education, this book explains the trends driving the AI revolution, identifies the complex ethics and workforce issues we all need to think about and suggests a path forward. Read more: The Future Computed: Artificial Intelligence and its role in society provides Microsoft’s perspective on where AI technology is going and the new societal issues it is raising – ensuring AI is designed and used responsibly, establishing ethical principles to protect people, and how AI will impact employment and jobs. The principles of fairness, reliability and safety, privacy and security, inclusiveness, transparency and accountability are critical to addressing the societal impacts of AI and building trust as AI becomes more and more a part of the products and services that people use at work and at home every day. A central theme in The Future Computed is that for AI to deliver on its potential drive widespread economic and social progress, the technology needs to be human-centered – combining the capabilities of computers with human capabilities to enable people to achieve more. But a human-centered approach can only be realized if researchers, policymakers, and leaders from government, business and civil society come together to develop a shared ethical framework for AI. This in turn will help foster responsible development of AI systems that will engender trust. Because in an increasingly AI-driven world the question is not what computers can do, it is what computers should do. The Future Computed also draws a few conclusions as we chart our path forward. First, the companies and countries that will fare best in the AI era will be those that embrace these changes rapidly and effectively. Second, while AI will help solve big societal problems, we must look to this future with a critical eye as there will be challenges as well as opportunities. Third, we need to act with a sense of shared responsibility because AI won’t be created by the tech sector alone. Finally, skilling-up for an AI-powered world involves more than science, technology, engineering and math. As computers behave more like humans, the social sciences and humanities will become grow in importance.

    You'll learn how to combine small, yet powerful, command-line tools to quickly obtain, scrub, explore, and model your data.To get you started--whether you're on Windows, OS X, or Linux--author Jeroen Janssens introduces the Data Science Toolbox, an easy-to-install virtual environment packed with over 80 command-line tools.Discover why the command line is an agile, scalable, and extensible technology. Even if you're already comfortable processing data with, say, Python or R, you'll greatly improve your data science workflow by also leveraging the power of the command line.Obtain data from websites, APIs, databases, and spreadsheetsPerform scrub operations on plain text, CSV, HTML/XML, and JSONExplore data, compute descriptive statistics, and create visualizationsManage your data science workflow using DrakeCreate reusable tools from one-liners and existing Python or R codeParallelize and distribute data-intensive pipelines using GNU ParallelModel data with dimensionality reduction, clustering, regression, and classification algorithms

    At each stage, students are asked to apply critical thinking skills as they learn key concepts. Accounts of real researchers designing and analysing experiments are punctuated by questions and exercises.

    New Spotlight figures integrate brief text and visuals for easy reading. This package contains: Fundamentals of Anatomy & Physiology, Ninth Edition

    This is a deeply technical book and focuses on the software engineering skills to ace your interview. The book is over 500 pages and includes 150 programming interview questions and answers, as well as other advice.The full list of topics are as follows:The Interview ProcessThis section offers an overview on questions are selected and how you will be evaluated. What happens when you get a question wrong? When should you start preparing, and how? What language should you use? All these questions and more are answered.Behind the ScenesLearn what happens behind the scenes during your interview, how decisions really get made, who you interview with, and what they ask you. Companies covered include Google, Amazon, Yahoo, Microsoft, Apple and Facebook.Special SituationsThis section explains the process for experience candidates, Program Managers, Dev Managers, Testers / SDETs, and more. Learn what your interviewers are looking for and how much code you need to know.Before the InterviewIn order to ace the interview, you first need to get an interview. This section describes what a software engineer's resume should look like and what you should be doing well before your interview.Behavioral PreparationAlthough most of a software engineering interview will be technical, behavioral questions matter too. This section covers how to prepare for behavioral questions and how to give strong, structured responses.Technical Questions (+ 5 Algorithm Approaches)This section covers how to prepare for technical questions (without wasting your time) and teaches actionable ways to solve the trickiest algorithm problems. It also teaches you what exactly "good coding" is when it comes to an interview.150 Programming Questions and AnswersThis section forms the bulk of the book. Each section opens with a discussion of the core knowledge and strategies to tackle this type of question, diving into exactly how you break down and solve it. Topics covered include• Arrays and Strings• Linked Lists• Stacks and Queues• Trees and Graphs• Bit Manipulation• Brain Teasers• Mathematics and Probability• Object-Oriented Design• Recursion and Dynamic Programming• Sorting and Searching• Scalability and Memory Limits• Testing• C and C++• Java• Databases• Threads and LocksFor the widest degree of readability, the solutions are almost entirely written with Java (with the exception of C / C++ questions). A link is provided with the book so that you can download, compile, and play with the solutions yourself.Changes from the Fourth Edition: The fifth edition includes over 200 pages of new content, bringing the book from 300 pages to over 500 pages. Major revisions were done to almost every solution, including a number of alternate solutions added. The introductory chapters were massively expanded, as were the opening of each of the chapters under Technical Questions. In addition, 24 new questions were added.Cracking the Coding Interview, Fifth Edition is the most expansive, detailed guide on how to ace your software development / programming interviews.

    Random genetic mutation, long believed to be the main source of variation, is only a marginal factor. As the authors demonstrate in this book, the more important source of speciation, by far, is the acquisition of new genomes by symbiotic merger. The result of thirty years of delving into a vast, mostly arcane literature, this is the first book to go beyond -- and reveal the severe limitations of -- the "Modern Synthesis" that has dominated evolutionary biology for almost three generations. Lynn Margulis, whom E. O. Wilson called "one of the most successful synthetic thinkers in modern biology," and her co-author Dorion Sagan have written a comprehensive and scientifically supported presentation of a theory that directly challenges the assumptions we hold about the variety of the living world.

    But while conventional products say they'll make you more beautiful, they contain toxins and preservatives that are both bad for the environment and bad for your body--including synthetic fragrances, petrochemicals, and even formaldehyde. In the end, they damage your natural vitality and good looks.Fortunately, fashion writer, nutritionist, and beauty maven Julie Gabriel helps you find the true path to natural, healthy, green beauty. She helps you decipher labels on every cosmetic product you pick up and avoid toxic and damaging chemicals with her detailed Toxic Ingredients List. You'll learn valuable tips on what your skin really needs to be healthy, glowing, and youthful.Julie goes one-step further--and shows you how to make your own beauty products that feed your skin, save your bank account, and are healthy for your body and the environment, such as: - Cleansing creams and oils - toners - facials - under eye circle remedies - anti-aging serums - lip balms - scrubs - exfoliators - clay and cleansing masks- moisturizers - acne treatments - makeup remover - teeth whiteners - shampoos, conditioners - fragrances - sun protection - bug repellants - baby products - and much more!With her friendly, thorough, and helpful advice; fabulous beauty recipes; product recommendations and ratings; Toxic Ingredients List; and a complete appendix of online resources, Julie Gabriel gives you all the information you need to go green without going broke and become a more natural, healthy, and beautiful you.

    The chapters introduce each of the main neurotransmitters involved with behavior, discuss its role in the brain, present some background on how it is generally turned on and off, and explain ways to influence it through what we consume.

    Whatever your status--the sole AP in your school, one of two or more APs in your school, a career AP, an AP aspiring to the principalship--yours is one of the most misunderstood and underutilized positions in education. Positioned between teachers and the principal, you are an instructional leader. However, you are not the leader of the school. Therefore, you must carefully navigate your way to ensure that you thrive in your role without "stepping on the toes" of your principal.In The Assistant Principal 50, award-winning, four-time principal Baruti Kafele presents reflective questions that encompass the breadth and depth of the assistant principalship--from finding your leadership "lane" to thriving and being an asset to your principal. Kafele infuses the book (which also includes guidance and insights for principals and aspiring assistant principals) from beginning to end with personal anecdotes and accounts of both failures and successes from his years as an assistant principal. He arms you with tools and insights that will drive you to view the assistant principalship as critical to the climate and culture of your school as well as to student achievement.You, assistant principal, play a critical role in your school's success. The questions that Kafele asks you to consider will aid you as you hone your leadership skills toward becoming an effective leader in your school.