Follow the Model

Author: J. Alexander
Publisher: Simon and Schuster
ISBN: 1439165173
Category : Self-Help
Languages : en
Pages : 190

Book Description
AN EMPOWERING, NO-NONSENSE GUIDE TO LIVING THE MISS J WAY—FULLY AND FABULOUSLY! HOW does a six-foot-four, Bronx-born black gay male become Queen of the Catwalk? In one word: attitude. Beloved by millions of fans for his outrageous wit and irrepressible flair, J. Alexander has primed hundreds of wannabe models on America’s Next Top Model and coached such supermodels as Tyra Banks, Naomi Campbell, and Kimora Lee with inspiring advice that applies far beyond the catwalk. AS witheringly funny in print as he is in person, Miss J recounts a remarkable career in high fashion that began with creating couture knockoffs on his grandmother’s sewing machine. He reveals his secrets to succeeding at what you love most, shares life lessons and colorful (to say the least) anecdotes, provides a multitude of invaluable grooming and style tips, dishes on the celebrities he’s worked with so intimately, and offers a glimpse into the world of ANTM. Not everyone is born to be a supermodel, but every woman can acquire confidence, self-esteem, and the determination to realize her dreams. You’ve got to want it, work it, and walk it—and Miss J will show you how.

Follow the Model

Author: J. Alexander
Publisher: Simon and Schuster
ISBN: 1439149909
Category : Fashion
Languages : en
Pages : 242

Book Description

Business Model Generation

Author: Alexander Osterwalder
Publisher: John Wiley & Sons
ISBN: 1118656407
Category : Business & Economics
Languages : en
Pages : 295

Book Description
Business Model Generation is a handbook for visionaries, game changers, and challengers striving to defy outmoded business models and design tomorrow's enterprises. If your organization needs to adapt to harsh new realities, but you don't yet have a strategy that will get you out in front of your competitors, you need Business Model Generation. Co-created by 470 "Business Model Canvas" practitioners from 45 countries, the book features a beautiful, highly visual, 4-color design that takes powerful strategic ideas and tools, and makes them easy to implement in your organization. It explains the most common Business Model patterns, based on concepts from leading business thinkers, and helps you reinterpret them for your own context. You will learn how to systematically understand, design, and implement a game-changing business model--or analyze and renovate an old one. Along the way, you'll understand at a much deeper level your customers, distribution channels, partners, revenue streams, costs, and your core value proposition. Business Model Generation features practical innovation techniques used today by leading consultants and companies worldwide, including 3M, Ericsson, Capgemini, Deloitte, and others. Designed for doers, it is for those ready to abandon outmoded thinking and embrace new models of value creation: for executives, consultants, entrepreneurs, and leaders of all organizations. If you're ready to change the rules, you belong to "the business model generation!"

Mixed Effects Models for Complex Data

Author: Lang Wu
Publisher: CRC Press
ISBN: 9781420074086
Category : Mathematics
Languages : en
Pages : 431

Book Description
Although standard mixed effects models are useful in a range of studies, other approaches must often be used in correlation with them when studying complex or incomplete data. Mixed Effects Models for Complex Data discusses commonly used mixed effects models and presents appropriate approaches to address dropouts, missing data, measurement errors, censoring, and outliers. For each class of mixed effects model, the author reviews the corresponding class of regression model for cross-sectional data. An overview of general models and methods, along with motivating examples After presenting real data examples and outlining general approaches to the analysis of longitudinal/clustered data and incomplete data, the book introduces linear mixed effects (LME) models, generalized linear mixed models (GLMMs), nonlinear mixed effects (NLME) models, and semiparametric and nonparametric mixed effects models. It also includes general approaches for the analysis of complex data with missing values, measurement errors, censoring, and outliers. Self-contained coverage of specific topics Subsequent chapters delve more deeply into missing data problems, covariate measurement errors, and censored responses in mixed effects models. Focusing on incomplete data, the book also covers survival and frailty models, joint models of survival and longitudinal data, robust methods for mixed effects models, marginal generalized estimating equation (GEE) models for longitudinal or clustered data, and Bayesian methods for mixed effects models. Background material In the appendix, the author provides background information, such as likelihood theory, the Gibbs sampler, rejection and importance sampling methods, numerical integration methods, optimization methods, bootstrap, and matrix algebra. Failure to properly address missing data, measurement errors, and other issues in statistical analyses can lead to severely biased or misleading results. This book explores the biases that arise when naïve methods are used and shows which approaches should be used to achieve accurate results in longitudinal data analysis.

Model Rules of Professional Conduct

Author: American Bar Association. House of Delegates
Publisher: American Bar Association
ISBN: 9781590318737
Category : Law
Languages : en
Pages : 216

Book Description
The Model Rules of Professional Conduct provides an up-to-date resource for information on legal ethics. Federal, state and local courts in all jurisdictions look to the Rules for guidance in solving lawyer malpractice cases, disciplinary actions, disqualification issues, sanctions questions and much more. In this volume, black-letter Rules of Professional Conduct are followed by numbered Comments that explain each Rule's purpose and provide suggestions for its practical application. The Rules will help you identify proper conduct in a variety of given situations, review those instances where discretionary action is possible, and define the nature of the relationship between you and your clients, colleagues and the courts.

Interpretable Machine Learning

Author: Christoph Molnar
Publisher: Lulu.com
ISBN: 0244768528
Category : Artificial intelligence
Languages : en
Pages : 320

Book Description
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.

ADKAR

Author: Jeff Hiatt
Publisher: Prosci
ISBN: 9781930885509
Category : Forandringsledelse
Languages : en
Pages : 164

Book Description
In his first complete text on the ADKAR model, Jeff Hiatt explains the origin of the model and explores what drives each building block of ADKAR. Learn how to build awareness, create desire, develop knowledge, foster ability and reinforce changes in your organization. The ADKAR Model is changing how we think about managing the people side of change, and provides a powerful foundation to help you succeed at change.

Follow the Leader?

Author: Gabriel S. Lenz
Publisher: University of Chicago Press
ISBN: 0226472159
Category : Political Science
Languages : en
Pages : 341

Book Description
In a democracy, we generally assume that voters know the policies they prefer and elect like-minded officials who are responsible for carrying them out. We also assume that voters consider candidates' competence, honesty, and other performance-related traits. But does this actually happen? Do voters consider candidates’ policy positions when deciding for whom to vote? And how do politicians’ performances in office factor into the voting decision? In Follow the Leader?, Gabriel S. Lenz sheds light on these central questions of democratic thought. Lenz looks at citizens’ views of candidates both before and after periods of political upheaval, including campaigns, wars, natural disasters, and episodes of economic boom and bust. Noting important shifts in voters’ knowledge and preferences as a result of these events, he finds that, while citizens do assess politicians based on their performance, their policy positions actually matter much less. Even when a policy issue becomes highly prominent, voters rarely shift their votes to the politician whose position best agrees with their own. In fact, Lenz shows, the reverse often takes place: citizens first pick a politician and then adopt that politician’s policy views. In other words, they follow the leader. Based on data drawn from multiple countries, Follow the Leader? is the most definitive treatment to date of when and why policy and performance matter at the voting booth, and it will break new ground in the debates about democracy.

Children of Blood and Bone

Author: Tomi Adeyemi
Publisher: Henry Holt Books For Young Readers
ISBN: 1250170974
Category : Young Adult Fiction
Languages : en
Pages : 543

Book Description
Zľie Adebola remembers when the soil of Ors̐ha hummed with magic. Burners ignited flames, Tiders beckoned waves, and Zľie's Reaper mother summoned forth souls.

Machine Learning with PyTorch and Scikit-Learn

Author: Sebastian Raschka
Publisher: Packt Publishing Ltd
ISBN: 1801816387
Category : Computers
Languages : en
Pages : 775

Book Description
This book of the bestselling and widely acclaimed Python Machine Learning series is a comprehensive guide to machine and deep learning using PyTorch s simple to code framework. Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features Learn applied machine learning with a solid foundation in theory Clear, intuitive explanations take you deep into the theory and practice of Python machine learning Fully updated and expanded to cover PyTorch, transformers, XGBoost, graph neural networks, and best practices Book DescriptionMachine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems. Packed with clear explanations, visualizations, and examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, we teach the principles allowing you to build models and applications for yourself. Why PyTorch? PyTorch is the Pythonic way to learn machine learning, making it easier to learn and simpler to code with. This book explains the essential parts of PyTorch and how to create models using popular libraries, such as PyTorch Lightning and PyTorch Geometric. You will also learn about generative adversarial networks (GANs) for generating new data and training intelligent agents with reinforcement learning. Finally, this new edition is expanded to cover the latest trends in deep learning, including graph neural networks and large-scale transformers used for natural language processing (NLP). This PyTorch book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments.What you will learn Explore frameworks, models, and techniques for machines to learn from data Use scikit-learn for machine learning and PyTorch for deep learning Train machine learning classifiers on images, text, and more Build and train neural networks, transformers, and boosting algorithms Discover best practices for evaluating and tuning models Predict continuous target outcomes using regression analysis Dig deeper into textual and social media data using sentiment analysis Who this book is for If you have a good grasp of Python basics and want to start learning about machine learning and deep learning, then this is the book for you. This is an essential resource written for developers and data scientists who want to create practical machine learning and deep learning applications using scikit-learn and PyTorch. Before you get started with this book, you’ll need a good understanding of calculus, as well as linear algebra.