Your product or service works beautifully - but something is missing. People just don’t see the big idea - and it’s keeping you from being successful. Your idea has an explanation problem.The Art of Explanation is for business people, educators and influencers who want to improve their explanation skills and start solving explanation problems.Author Lee LeFever is the founder of Common Craft, a company known around the world for making complex ideas easy to understand through short animated videos. He is your guide to helping audiences fall in love with your ideas, products or services through better explanations in any medium. You will learn to:• Plan: Learn explanation basics, what causes them to fail and how to diagnose explanation problems.• Package: Using simple elements, create an explanation strategy that builds confidence and motivates your audience. • Present: Produce remarkable explanations with visuals and media. The Art of Explanation is your invitation to become an explanation specialist and see why explanation is now a fundamental skill for professionals.

    Where do you see yourself in five years? All job seekers face a barrage of questions. This book contains 201 answers and approaches to interview questions.

    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

     Chess is one of the world’s most popular board games, and is played by millions of people from all walks of life in parks, homes, online and tournaments. This two-player game is played on a checkered board with 64 squares arranged in an eight by eight grid called a chessboard. The game begins with each player possessing 16 pieces, 8 pawns, two rooks (sometimes called castles), two bishops, two knights, a queen and a king. The different player’s pieces are colored differently and are usually either black or white, though colors may vary. Regardless of the color variation though, each ‘team’ is referred to as either black or white. The objective of the game is to ‘checkmate’ the opponent’s king by placing it in such a position that it cannot escape capture. There are other methods to winning the game, such as when an opponent forfeits or resigns from the match. Forfeitures are normally as a result of the opponent losing too many pieces, or if a checkmate is seen as inevitable. There are also circumstances where the game ends in a draw for various reasons, meaning that neither player wins. The first official world chess championship was held in 1886 between Wilhelm Steinitz and Johannes Zukerfort. The victor and thus the first official World Champion was Wilhelm Seinitz. Since the creation of the World Chess Federation in Paris in 1924, the best chess players in the world have been awarded the title of Grandmaster, which is the highest accolade a chess player can get apart from world champion. The latter half of the 20th century saw computers being programmed to play chess, with many home computers now being able to play with such a high level of sophistication that they can outwit some of the best human players. The first computer to ever beat a reigning world champion was the computer Deep Blue, which beat Garry Kasparov in a match in 1997. What You're Going to Learn: Origins and History of Chess Rules and Notations Movements in the Game The Pieces, Their Movements and Values Chess Strategy and Tactics Tips for Beginners What Not to Do More Tactics ...And Much More! Ready to Play Like a Pro ? * * * DOWNLOAD YOUR COPY TODAY * * *

    Cost Accounting, 14e demonstrates the fundamentals and logic of alternative accounting systems and methods. The text emphasizes the use of accounting information in planning and controlling business systems, and in supporting a variety of management decisions. Cost Accounting, 14e aso offers specific consideration to decision-making and human behavioral matters.

    These secrets will help you get great salary raises, get selected in a job interview, & even get a promotion easily. Here are the closely-guarded secrets that will be revealed in this never-before disclosure. Career Secret # 1: Why would you be fired? Can you avoid the dreaded Pink Slip? And why the most-beloved perk 'Work From Home' is the surest ticket out of the company? For the first time ever, you will be taken behind the scenes of a mass-firing (multiple layoffs). You will understand what prompts a company to fire its loyal employees (this means you). And the biggest insider secret... if you are Working from Home, why you will get laid off in the next few months. You will also learn how to protect your job & make yourself almost 'fire'proof. Career Secret # 2: Job sites are utterly useless Sick and tired of job hunting? Learn why job sites are utterly useless & where you need to focus your energies for a job search. This one strategy will increase your probability of getting a job from a measly 1% to a stunning 60%. Career Secret # 3: Your experience or skills doesn't matter in an Interview! Did you know that your experience or skills doesn't count for the hiring manager? What is the recruiter really looking for? It's this one little thing... Career Secret # 4: Your manager doesn't care what you did the whole year Are you surprised? Or did I confirm what you already suspected? Is everything you are doing in your job, all in vain? Not yet. This secret will tell you how to get on your manager's radar. Career Secret # 5: Appraisal ratings and increments are your manager's headache. Here's how to force your manager to give you a fat paycheck. There is a ton of information on salary negotiation during a job interview. What about salary negotiation during a performance review? This secret will tell you the simplest & easiest way to rate your own performance. And how to make an epic presentation that will force your manager to grudgingly give you a great rating & an excellent salary raise.

    This book equips you with the skills, disciplines, and knowledge to turn your paycheck-driven teams into vibrant and successful growth cultures. CEO and Head Coach of Building Champions, Daniel Harkavy shows you how to move beyond the theoretical to the very practical how to of coaching. He also presents valuable insight for assessing how fulfilled and on-purpose you are as a leader.

    Learner English has chapters focusing on major problems of pronunciation, grammar, vocabulary and other errors as well as new chapters covering Korean, Malay/Indonesian and Polish language backgrounds.

    The devices presented allow the speaker of a foreign language to demonstrate the level of his/her language more impressively. These techniques were developed and tested by the author with adult professionals in such varied fields as journalism, diplomacy, government, and international business.

    These areas of knowledge have converged into a modern theory of epidemiology that has been slow to penetrate into textbooks, particularly at the introductory level. Epidemiology: An Introduction closes the gap. It begins with a brief, lucid discussion of causal thinking and causal inference and then takes the reader through the elements of epidemiology, focusing on the measures of disease occurrence and causal effects. With these building blocks in place, the reader learns how to design, analyze and interpret problems that epidemiologists face, including confounding, the role of chance, and the exploration of interactions. All these topics are layered on the foundation of basic principles presented in simple language, with numerous examples and questions for further thought.

    Sold in over 85 countries and translated into more than 5 languages.---------------Want to get started on data science?Our promise: no math added.This book has been written in layman's terms as a gentle introduction to data science and its algorithms. Each algorithm has its own dedicated chapter that explains how it works, and shows an example of a real-world application. To help you grasp key concepts, we stick to intuitive explanations and visuals.Popular concepts covered include:- A/B Testing- Anomaly Detection- Association Rules- Clustering- Decision Trees and Random Forests- Regression Analysis- Social Network Analysis- Neural NetworksFeatures:- Intuitive explanations and visuals- Real-world applications to illustrate each algorithm- Point summaries at the end of each chapter- Reference sheets comparing the pros and cons of algorithms- Glossary list of commonly-used termsWith this book, we hope to give you a practical understanding of data science, so that you, too, can leverage its strengths in making better decisions.

    It contains a wealth of appendices with information from chemical elements to first names, and the plays of Shakespeare to the Greek and Hebrew alphabets. This edition contains definitions of more than 500 new words.

    The approach he devised was based on a new type of questioning (and listening) that was rooted in honoring the client's language rather than paraphrasing it, reserving advice rather than pushing it, and cleaning up his own communications with respect to assumptions and metaphors. What David Grove learned was that these adjustments allowed his clients to discover and build on the metaphors that were meaningful to them. Once established, they could explore that meaning, experience it in their own ways, learn from it, heal, and move forward. David Grove called his questioning approach Clean Language untainted by assumption or metaphor. Inspired by the effectiveness of David Grove's work, James Lawley and Penny Tompkins studied the approach, eventually codifying it, and then expanding upon it. Now, authors Sullivan and Rees and take this revolutionary way of communicating completely out of the closet, introducing the concepts to the broad range of helping professional (from psychotherapist to organizational coach) as well as interested laypeople. Clean Language (Clean, for short) allows access to the deepest levels of people s communications so that the real issues are revealed early and real helping strategies can be created to meet them. When the client is invited to find the solution, then time isn't wasted in the vain attempts to convince, cajole, or coerce. The basic perspective is straightforward. You should keep your opinions and advice to yourself. You should Listen attentively and ask clean questions to explore metaphors. You should listen to the answers and then ask more Clean questions about they ve said There are just a dozen key Clean questions, and when combined with the words offered by the person being questioned, they become part of a flexible, multipurpose toolkit

    Particularly suitable for students of secondary-school level, it is also a handy dictionary for the home and office. It covers all the words you need for everyday use, and has excellent coverage of curriculum vocabulary. For the new edition the definitions are clearer than ever before and there is lots of help with those aspects of the language (such as spelling, pronunciation, and usage) which cause most difficulties.In particular, there are hundreds of new spelling notes to help with tricky words that are commonly misspelled, extra usage notes giving advice on good English, and more help with pronunciations of difficult words. A new open design ensures that this dictionary is even more accessible and easier to use than ever before.

    The author explains, and illustrates, basic concepts such as the co-operative principle, deixis, and speech acts, providing a clear, concise foundation for further study.