Models

Author: Mark Manson
Publisher: Pan Australia
ISBN: 1760558168
Category : Family & Relationships
Languages : en
Pages : 324

Book Description
"You can become irresistibly attractive to women without changing who you are." So says Mark Manson, superstar blogger and author of the international bestseller, The Subtle Art of Not Giving A F*ck, a self help book that packs a punch. Mark brings the same approach to teaching men what they need to know about attracting women. In Models he shows us how much it sucks trying to attract women using the tricks and tactics recommended by other books. Instead, he says, men need to focus on seduction as an emotional process not a physical or social one. What matters is the intention, the motivation, the authenticity. To improve your dating life you must improve your emotional life - how you feel about yourself and how you express yourself to others. Funny, irreverent and confronting, Models is a mature and honest guide on how a man can attract women by giving up the bullsh*t and becoming an honest broker. "A detailed guide to modern sexual ethics" Sydney Morning Herald "There's nothing subtle about Mark Manson. He's crude and vulgar and doesn't give a f*ck . . . He's as painfully honest as he is outrageously funny" Huffington Post

Models

Author: Manson Mark Manson
Publisher:
ISBN: 9781365378164
Category :
Languages : en
Pages : 0

Book Description

Models of the Mind

Author: Grace Lindsay
Publisher: Bloomsbury Publishing
ISBN: 1472966457
Category : Science
Languages : en
Pages : 401

Book Description
The human brain is made up of 85 billion neurons, which are connected by over 100 trillion synapses. For more than a century, a diverse array of researchers searched for a language that could be used to capture the essence of what these neurons do and how they communicate – and how those communications create thoughts, perceptions and actions. The language they were looking for was mathematics, and we would not be able to understand the brain as we do today without it. In Models of the Mind, author and computational neuroscientist Grace Lindsay explains how mathematical models have allowed scientists to understand and describe many of the brain's processes, including decision-making, sensory processing, quantifying memory, and more. She introduces readers to the most important concepts in modern neuroscience, and highlights the tensions that arise when the abstract world of mathematical modelling collides with the messy details of biology. Each chapter of Models of the Mind focuses on mathematical tools that have been applied in a particular area of neuroscience, progressing from the simplest building block of the brain – the individual neuron – through to circuits of interacting neurons, whole brain areas and even the behaviours that brains command. In addition, Grace examines the history of the field, starting with experiments done on frog legs in the late eighteenth century and building to the large models of artificial neural networks that form the basis of modern artificial intelligence. Throughout, she reveals the value of using the elegant language of mathematics to describe the machinery of neuroscience.

The Great Mental Models, Volume 1

Author: Shane Parrish
Publisher: Penguin
ISBN: 0593719972
Category : Business & Economics
Languages : en
Pages : 209

Book Description
Discover the essential thinking tools you’ve been missing with The Great Mental Models series by Shane Parrish, New York Times bestselling author and the mind behind the acclaimed Farnam Street blog and “The Knowledge Project” podcast. This first book in the series is your guide to learning the crucial thinking tools nobody ever taught you. Time and time again, great thinkers such as Charlie Munger and Warren Buffett have credited their success to mental models–representations of how something works that can scale onto other fields. Mastering a small number of mental models enables you to rapidly grasp new information, identify patterns others miss, and avoid the common mistakes that hold people back. The Great Mental Models: Volume 1, General Thinking Concepts shows you how making a few tiny changes in the way you think can deliver big results. Drawing on examples from history, business, art, and science, this book details nine of the most versatile, all-purpose mental models you can use right away to improve your decision making and productivity. This book will teach you how to: Avoid blind spots when looking at problems. Find non-obvious solutions. Anticipate and achieve desired outcomes. Play to your strengths, avoid your weaknesses, … and more. The Great Mental Models series demystifies once elusive concepts and illuminates rich knowledge that traditional education overlooks. This series is the most comprehensive and accessible guide on using mental models to better understand our world, solve problems, and gain an advantage.

Interpretable Machine Learning

Author: Christoph Molnar
Publisher: Lulu.com
ISBN: 0244768528
Category : Computers
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.

Role Models

Author: John Waters
Publisher: Farrar, Straus and Giroux
ISBN: 1429944579
Category : Biography & Autobiography
Languages : en
Pages : 320

Book Description
Here, from the incomparable John Waters, is a paean to the power of subversive inspiration that will delight, amuse, enrich—and happily horrify readers everywhere. Role Models is, in fact, a self-portrait told through intimate profiles of favorite personalities—some famous, some unknown, some criminal, some surprisingly middle-of-the-road. From Esther Martin, owner of the scariest bar in Baltimore, to the playwright Tennessee Williams; from the atheist leader Madalyn Murray O'Hair to the insane martyr Saint Catherine of Siena; from the English novelist Denton Welch to the timelessly appealing singer Johnny Mathis—these are the extreme figures who helped the author form his own brand of neurotic happiness. Role Models is a personal invitation into one of the most unique, perverse, and hilarious artistic minds of our time.

Supreme Models

Author: Marcellas Reynolds
Publisher: Abrams
ISBN: 1683356624
Category : Photography
Languages : en
Pages : 246

Book Description
“This coffee-table book is the first-ever collection of works devoted to celebrating black models. Fashion devotees will find glorious images of supers such as Iman, Tyra Banks, Naomi Campbell, Joan Smalls, and Adwoa Aboah alongside interviews and personal essays.” —Vogue Filled with revealing essays, interviews, and stunning photographs, Supreme Models pays tribute to black models past and present: from the first to be featured in catalogs and on magazine covers, like Iman, Donyale Luna, and Beverly Johnson, to the supermodels who reigned in the nineties—Tyra Banks, Naomi Campbell, and Veronica Webb. The book also observes the newest generation of models—Adut Akech, Jourdan Dunn, and Joan Smalls—who are shaking up the fashion industry by speaking out about racial prejudice while becoming social media sensations. Written by celebrity fashion stylist and journalist Marcellas Reynolds, Supreme Models features more than 70 women from the last 75 years. Reynolds writes, “I hope that everyone who reads this book learns something about the models included within—and more about the business of fashion and modeling. But what I want most is for Supreme Models to be a source for the little boys, or girls, who like my childhood self, need to see themselves represented in a positive light.” The book, filled with gorgeous photographs of the women, details their most memorable campaigns, covers, editorials, and runway shows. Black models have been influencing fashion and pop culture for decades, reshaping beauty standards and boundaries. Supreme Models is a celebration of their monumental impact.

Models.Behaving.Badly.

Author: Emanuel Derman
Publisher: Simon and Schuster
ISBN: 1439165017
Category : Business & Economics
Languages : en
Pages : 242

Book Description
Now in paperback, “a compelling, accessible, and provocative piece of work that forces us to question many of our assumptions” (Gillian Tett, author of Fool’s Gold). Quants, physicists working on Wall Street as quantitative analysts, have been widely blamed for triggering financial crises with their complex mathematical models. Their formulas were meant to allow Wall Street to prosper without risk. But in this penetrating insider’s look at the recent economic collapse, Emanuel Derman—former head quant at Goldman Sachs—explains the collision between mathematical modeling and economics and what makes financial models so dangerous. Though such models imitate the style of physics and employ the language of mathematics, theories in physics aim for a description of reality—but in finance, models can shoot only for a very limited approximation of reality. Derman uses his firsthand experience in financial theory and practice to explain the complicated tangles that have paralyzed the economy. Models.Behaving.Badly. exposes Wall Street’s love affair with models, and shows us why nobody will ever be able to write a model that can encapsulate human behavior.

The Data Model Resource Book, Volume 1

Author: Len Silverston
Publisher: John Wiley & Sons
ISBN: 111808232X
Category : Computers
Languages : en
Pages : 572

Book Description
A quick and reliable way to build proven databases for core business functions Industry experts raved about The Data Model Resource Book when it was first published in March 1997 because it provided a simple, cost-effective way to design databases for core business functions. Len Silverston has now revised and updated the hugely successful 1st Edition, while adding a companion volume to take care of more specific requirements of different businesses. This updated volume provides a common set of data models for specific core functions shared by most businesses like human resources management, accounting, and project management. These models are standardized and are easily replicated by developers looking for ways to make corporate database development more efficient and cost effective. This guide is the perfect complement to The Data Model Resource CD-ROM, which is sold separately and provides the powerful design templates discussed in the book in a ready-to-use electronic format. A free demonstration CD-ROM is available with each copy of the print book to allow you to try before you buy the full CD-ROM.

Probabilistic Graphical Models

Author: Daphne Koller
Publisher: MIT Press
ISBN: 0262258358
Category : Computers
Languages : en
Pages : 1270

Book Description
A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions. Most tasks require a person or an automated system to reason—to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible. Because uncertainty is an inescapable aspect of most real-world applications, the book focuses on probabilistic models, which make the uncertainty explicit and provide models that are more faithful to reality. Probabilistic Graphical Models discusses a variety of models, spanning Bayesian networks, undirected Markov networks, discrete and continuous models, and extensions to deal with dynamical systems and relational data. For each class of models, the text describes the three fundamental cornerstones: representation, inference, and learning, presenting both basic concepts and advanced techniques. Finally, the book considers the use of the proposed framework for causal reasoning and decision making under uncertainty. The main text in each chapter provides the detailed technical development of the key ideas. Most chapters also include boxes with additional material: skill boxes, which describe techniques; case study boxes, which discuss empirical cases related to the approach described in the text, including applications in computer vision, robotics, natural language understanding, and computational biology; and concept boxes, which present significant concepts drawn from the material in the chapter. Instructors (and readers) can group chapters in various combinations, from core topics to more technically advanced material, to suit their particular needs.