. ." and "The data bear this out. . . ." But the field of statistics is not just about data. Statistics is the entire process involved in gathering evidence to answer questions about the world, in cases where that evidence happens to be numerical data. Statistics For Dummies is for everyone who wants to sort through and evaluate the incredible amount of statistical information that comes to them on a daily basis. (You know the stuff: charts, graphs, tables, as well as headlines that talk about the results of the latest poll, survey, experiment, or other scientific study.) This book arms you with the ability to decipher and make important decisions about statistical results, being ever aware of the ways in which people can mislead you with statistics. Get the inside scoop on number-crunching nuances, plus insight into how you canDetermine the odds Calculate a standard score Find the margin of error Recognize the impact of polls Establish criteria for a good survey Make informed decisions about experiments This down-to-earth reference is chock-full of real examples from real sources that are relevant to your everyday life: from the latest medical breakthroughs, crime studies, and population trends to surveys on Internet dating, cell phone use, and the worst cars of the millennium. Statistics For Dummies departs from traditional statistics texts, references, supplement books, and study guides in the following ways:Practical and intuitive explanations of statistical concepts, ideas, techniques, formulas, and calculations. Clear and concise step-by-step procedures that intuitively explain how to work through statistics problems. Upfront and honest answers to your questions like, "What does this really mean?" and "When and how I will ever use this?" Chances are, Statistics For Dummies will be your No. 1 resource for discovering how numerical data figures into your corner of the universe.

    With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie wrote much of the statistical modeling software in S-PLUS and invented principal curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.

     If you don't know what "SEO" stands for or what a "backlink" is, this book will get you up to speed in a quick 1 hour read and show you some basic steps to optimize your site and blog posts. There are no advanced ninja tricks here, but simply the meat and potato basics of what SEO is and how you can best use it without spending a fortune Have you ever wondered how websites end up on page 1 in Google - and…. why your site isn’t there? Does it just “happen”? Is it luck? Do you need to know someone at Google? Or…… are there actual techniques that can help you get to #1? The good news is: there are! The Art of Ranking in Google is called SEO and people who do it well, make a LOT of money! Why? Because the higher you rank, the more people will visit your site = potential customers -> the more money you can make. SEO is a form of internet marketing, just like Google or Facebook Ads, yet a lot more effective and stable once set up - and in the long run, far less expensive! For blogging purposes, SEO is next to Kindle Publishing the most effective strategy to grow an audience long term - and also, to market affiliate products (=monetize your site). And you need to start from Day 1. - This is the one technique you cannot put off for later! This book will take you as a complete novice and take you step by step through: What SEO is all about? The main techniques and strategies to start ranking in Google and how even as a total beginner you can start employing them from day 1. The pitfalls and dangers along the way (Google Penalties) How to structure your Posts for optimal ranking chances How to structure your overall Site for optimal Google recognition Basic - but effective Backlinking strategies Social Media Implementation Most of all - this book will help you understand what it’s really all about and why it is so important to employ SEO techniques from day 1! This is the one technique you cannot put off till later and while you might feel overwhelmed in the beginning with all the new things to learn, this book will make it painless and easy to get started with minimal time input. Go back to the TOP to purchase - see your there….;-

    The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo MCMC. Additional application areas explored include genetics, medicine, computer science, and information theory. The print book version includes a code that provides free access to an eBook version. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment.

    If you’ve ever walked a colleague through a new program, you’re a teacher. If you’ve ever coached anyone on how to kick a football, you’re a teacher. If you’ve ever been a parent… enough said. The problem, however, is that very few of us have ever been taught how to teach!Drawing on Jared Cooney Horvath’s 15 years of experience conducting brain research at prominent universities, teaching students from 10 to 80 years of age, and working with organisations and schools across 4 continents, Stop Talking, Start Influencing outlines 12 scientific principles of how people learn. The result is a book that shows readers how to impart their knowledge to others in a manner that truly influences them. From the challenges of learning through a PowerPoint presentation to the debilitating ‘error alarm’ that can kick in when students make a mistake, the common barriers to learning are explained and tackled. Nearly every day we work to disseminate wisdom to others, so why not ensure that wisdom is retained?For every business leader sick of repeating themselves ad nauseam to colleagues and clients, for every coach tired of endlessly drilling athletes without seeing meaningful improvement, for every entrepreneur who’s had enough of pouring their heart into presentations only to see no lasting impact among the audience… it’s time to stop talking and start influencing!

     Cris Tovani Twenty-five years after Donald Graves popularized workshop teaching, the concept is widely implemented but not always deeply understood. That Workshop Book changes all that. It shows a new generation of teachers how the systems, structures, routines, and rituals that support successful workshops combine with thinking, planning, and conferring to drive students growth, inform assessment and instruction, and increase teachers professional satisfaction. And it shows those already using the workshop how to increase its instructional power by seeing its big ideas and its component parts in fresh, dynamic ways. In That Workshop Book, Samantha Bennett, a veteran instructional coach, takes you on a tour of six classrooms from first grade through eighth grade to see the techniques and thought processes master teachers use to make their workshops work. In each class she offers tangible evidence of these teachers practices, demonstrating how they listen to students and use that information to build lessons that propel children into deeper thinking. She documents these teachers moves for you with: classroom observations in the form of coaching emails from Bennett to each with commentary that highlights the important practices seen in each workshop transcripts of minilessons, worktimes, and debriefs specific, explicit reflection by each teacher about their workshop examples of student work produced in the workshop and over time student reflections on their development as readers, writers, thinkers, and learners. Youll come to understand firsthand how the setup of the workshop allows students the breathing room to think deeply about ideas, topics, and resources. Youll also see how it creates a framework within which you can not only listen in as children express what they learn but also think deeply yourself about how best to use the information you gather for subsequent instruction. Bennett even demonstrates how the workshop can be flexible enough to fit any learning situation and how to solve common problems as they arise. Benefit from the wisdom of one of the countrys foremost staff developers. Step inside workshop classrooms where teachers and students work side by sidewhere students develop literacy skills through a combination of doing what readers and writers do and purposeful, sensitive interactions with their teacher. Visit workshops where teachers learn about their students, use careful one-to-one assessment to inform their teaching, and reflect on their own practice as well. Then enter the best workshop classroom of allthe one youll be ready and excited to launch when you read That Workshop Book.

    This guide also helps you understand the many data-mining techniques in use today.Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.Understand how data science fits in your organization—and how you can use it for competitive advantageTreat data as a business asset that requires careful investment if you’re to gain real valueApproach business problems data-analytically, using the data-mining process to gather good data in the most appropriate wayLearn general concepts for actually extracting knowledge from dataApply data science principles when interviewing data science job candidates

    The book contains activities for adults to do with kids to extend math into their own lives. Math = Fun!MathStart is an award-winning series by Stuart J. Murphy that teaches math through stories and visual models. Young readers find the stories engaging and relatable, because each story revolves around practical applications of the math concept being presented and features lively art from top-notch illustrators.Charts and other visual representations help children understand how the math works and promote deeper comprehension. This unique combination of stories, illustrations, and visual models helps teachers and parents in the teaching of math and provides all children with the opportunity to succeed.The 63-book series is divided into three levels with 21 books in each. The math concepts taught in MathStart books conform to state and national standards. Level 1 is Pre-K–Kindergarten; Level 2 is Grades 1–3; Level 3 is Grades 2–4. The series follows math topics across grades so there is a foundational path to learning that runs through the levels.

    Conflict between humans and machines is seen as inevitable and its outcome all too predictable.In this groundbreaking book, distinguished AI researcher Stuart Russell argues that this scenario can be avoided, but only if we rethink AI from the ground up. Russell begins by exploring the idea of intelligence in humans and in machines. He describes the near-term benefits we can expect, from intelligent personal assistants to vastly accelerated scientific research, and outlines the AI breakthroughs that still have to happen before we reach superhuman AI. He also spells out the ways humans are already finding to misuse AI, from lethal autonomous weapons to viral sabotage.If the predicted breakthroughs occur and superhuman AI emerges, we will have created entities far more powerful than ourselves. How can we ensure they never, ever, have power over us? Russell suggests that we can rebuild AI on a new foundation, according to which machines are designed to be inherently uncertain about the human preferences they are required to satisfy. Such machines would be humble, altruistic, and committed to pursue our objectives, not theirs. This new foundation would allow us to create machines that are provably deferential and provably beneficial.In a 2014 editorial co-authored with Stephen Hawking, Russell wrote, "Success in creating AI would be the biggest event in human history. Unfortunately, it might also be the last." Solving the problem of control over AI is not just possible; it is the key that unlocks a future of unlimited promise.

    The way to do this, argue authors Bena Kallick and Allison Zmuda, is to increase the say students have in their own learning and prepare them to navigate complexities they face both inside and beyond school. This means rethinking traditional teacher and student roles and re-examining goal setting, lesson planning, assessment, and feedback practices. It means establishing classrooms that prioritizeVoice--Involving students in "the what" and "the how" of learning and equipping them to be stewards of their own education.Co-creation--Guiding students to identify the challenges and concepts they want to explore and outline the actions they will take.Social construction--Having students work with others to theorize, pursue common goals, build products, and generate performances.Self-discovery--Teaching students to reflect on their own developing skills and knowledge so that they will acquire new understandings of themselves and how they learn.Based on their exciting work in the field, Kallick and Zmuda map out a transformative model of personalization that puts students at the center and asks them to employ the set of dispositions for engagement and learning known as the Habits of Mind. They share the perspectives of educators engaged in this work; highlight the habits that empower students to pursue aspirations, investigate problems, design solutions, chase curiosities, and create performances; and provide tools and recommendations for adjusting classroom practices to facilitate learning that is self-directed, dynamic, sometimes messy, and always meaningful.

    Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor.

    It outlines a set of mindsets and habits you can use to help you identify the most impactful parts of your teaching, and put them centre stage.It's about doing less to achieve more.But it's also about being happier and more confident in the classroom. Building stronger routines around the essentials will give you more time and space to appreciate and think creatively about your work.POWER UP YOUR PLANNINGLean Lesson Planning draws on the latest evidence from educational research and cognitive science, to present a concise and coherent framework to help you improve learning experiences and outcomes for your students. It's the evidence-based teacher's guide to planning for learning, and sits alongside books such as Teach Like a Champion, Embedded Formative Assessment, and Visible Learning for Teachers.NOTE If you're looking for ways to short-cut the amount of time you spend planning lessons, then this book is not for you. The approach outlined in Lean Lesson Planning requires effort and practice, that given time, will lead to better teaching and higher quality learning for less input.---CONTENTSACT I Lean foundations1. Defining lean 2. Lean mindsets 3. Lean habits ACT II Habits for planning4. Backwards design 5. Knowing knowledge 6. Checking understanding 7. Efficient strategies 8. Lasting learning 9. Inter-lesson planning ACT III Habits for growing10. Building excellence 11. Growth teaching 12. Collective improvement Lean Lesson Planning is the first instalment in the High Impact Teaching series.

    It is also a crucial discipline to help you get the most out of in-person events such as conferences and networking opportunities where the key to a successful outcome often lies in your personal brand standing out.Given the explosion in use of digital and social media over the past few years, the internet has presented professionals with a magnificent opportunity to help their expertise become more discoverable, sharable and memorable through their personal brands.Personal Branding Benefits Your Business by:Establishing Credibility & Thought LeadershipGrowing Your NetworkAttracting New OpportunitiesIncreasing SalesHelping You Reach Your Business GoalsWho is this book for?CEOs, Executives, and Business Owners who want to position themselves as industry thought leaders and stand out from the competition.Individual Contributors & Academics who want to get ahead in their careers and want to understand how to have their expertise and experience be more discoverable.HR & Training Managers who want to understand personal branding to help train employees on social media branding and social selling.PR Agencies & Exec Comms Managers who need inspiration and training on personal branding strategies for their clients, CEOs, or themselves.About Mel CarsonMel Carson is Founder of Delightful Communications and former Digital Marketing Evangelist at Microsoft. He speaks and writes about personal branding at conferences and for publications all over the world. He previously co-wrote Pioneers of Digital: Success Stories from Leaders in Advertising, Marketing, Search and Social and has had his wisdom featured in Forbes, Fast Company, GQ, QZ.com, USA Today and he regularly writes as a business columnist for Entrepreneur.com.For more on Mel Carson visit http://www.MelCarson.com and http://www.DelightfulCommunications.com

    Also suitable for home school programs and independent study. Reproductible. 85 Pages

    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