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: 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
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
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.
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.
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.
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 Model Thinker
Author: Scott E. Page
Publisher: Basic Books
ISBN: 0465094635
Category : Computers
Languages : en
Pages : 585
Book Description
Work with data like a pro using this guide that breaks down how to organize, apply, and most importantly, understand what you are analyzing in order to become a true data ninja. From the stock market to genomics laboratories, census figures to marketing email blasts, we are awash with data. But as anyone who has ever opened up a spreadsheet packed with seemingly infinite lines of data knows, numbers aren't enough: we need to know how to make those numbers talk. In The Model Thinker, social scientist Scott E. Page shows us the mathematical, statistical, and computational models—from linear regression to random walks and far beyond—that can turn anyone into a genius. At the core of the book is Page's "many-model paradigm," which shows the reader how to apply multiple models to organize the data, leading to wiser choices, more accurate predictions, and more robust designs. The Model Thinker provides a toolkit for business people, students, scientists, pollsters, and bloggers to make them better, clearer thinkers, able to leverage data and information to their advantage.
Publisher: Basic Books
ISBN: 0465094635
Category : Computers
Languages : en
Pages : 585
Book Description
Work with data like a pro using this guide that breaks down how to organize, apply, and most importantly, understand what you are analyzing in order to become a true data ninja. From the stock market to genomics laboratories, census figures to marketing email blasts, we are awash with data. But as anyone who has ever opened up a spreadsheet packed with seemingly infinite lines of data knows, numbers aren't enough: we need to know how to make those numbers talk. In The Model Thinker, social scientist Scott E. Page shows us the mathematical, statistical, and computational models—from linear regression to random walks and far beyond—that can turn anyone into a genius. At the core of the book is Page's "many-model paradigm," which shows the reader how to apply multiple models to organize the data, leading to wiser choices, more accurate predictions, and more robust designs. The Model Thinker provides a toolkit for business people, students, scientists, pollsters, and bloggers to make them better, clearer thinkers, able to leverage data and information to their advantage.
Mixed-Effects Models in S and S-PLUS
Author: José C. Pinheiro
Publisher: Springer Science & Business Media
ISBN: 1441903178
Category : Computers
Languages : en
Pages : 538
Book Description
R, linear models, random, fixed, data, analysis, fit.
Publisher: Springer Science & Business Media
ISBN: 1441903178
Category : Computers
Languages : en
Pages : 538
Book Description
R, linear models, random, fixed, data, analysis, fit.
Deep Learning
Author: Ian Goodfellow
Publisher: MIT Press
ISBN: 0262337371
Category : Computers
Languages : en
Pages : 801
Book Description
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
Publisher: MIT Press
ISBN: 0262337371
Category : Computers
Languages : en
Pages : 801
Book Description
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
Néron Models
Author: Siegfried Bosch
Publisher: Springer Science & Business Media
ISBN: 3642514383
Category : Mathematics
Languages : en
Pages : 336
Book Description
Néron models were invented by A. Néron in the early 1960s in order to study the integral structure of abelian varieties over number fields. Since then, arithmeticians and algebraic geometers have applied the theory of Néron models with great success. Quite recently, new developments in arithmetic algebraic geometry have prompted a desire to understand more about Néron models, and even to go back to the basics of their construction. The authors have taken this as their incentive to present a comprehensive treatment of Néron models. This volume of the renowned "Ergebnisse" series provides a detailed demonstration of the construction of Néron models from the point of view of Grothendieck's algebraic geometry. In the second part of the book the relationship between Néron models and the relative Picard functor in the case of Jacobian varieties is explained. The authors helpfully remind the reader of some important standard techniques of algebraic geometry. A special chapter surveys the theory of the Picard functor.
Publisher: Springer Science & Business Media
ISBN: 3642514383
Category : Mathematics
Languages : en
Pages : 336
Book Description
Néron models were invented by A. Néron in the early 1960s in order to study the integral structure of abelian varieties over number fields. Since then, arithmeticians and algebraic geometers have applied the theory of Néron models with great success. Quite recently, new developments in arithmetic algebraic geometry have prompted a desire to understand more about Néron models, and even to go back to the basics of their construction. The authors have taken this as their incentive to present a comprehensive treatment of Néron models. This volume of the renowned "Ergebnisse" series provides a detailed demonstration of the construction of Néron models from the point of view of Grothendieck's algebraic geometry. In the second part of the book the relationship between Néron models and the relative Picard functor in the case of Jacobian varieties is explained. The authors helpfully remind the reader of some important standard techniques of algebraic geometry. A special chapter surveys the theory of the Picard functor.
Secret Model Beauty
Author: Lindsey Lockwood
Publisher: Secret Model Beauty
ISBN: 1450782094
Category : Health & Fitness
Languages : en
Pages : 60
Book Description
Have you ever wondered how to make your eyes brighter, get rid of dark circles, or how to treat an unwanted pimple? Learning how to care for your skin, as well as applying natural, beautiful makeup are only the beginning. Inside you will learn secrets makeup artists use to make models picture perfect. Glowing skin, luxurious locks, and the perfect manicure should all apart of every girl's regular pamper list. As a go-to girl for makeup and beauty advice, creating a place to keep beauty tips picked up from the industry's heavy-hitters over my career as a model seemed natural. After all, why should it be just celebrities and models who are in the know to looking beautiful and glamorous?
Publisher: Secret Model Beauty
ISBN: 1450782094
Category : Health & Fitness
Languages : en
Pages : 60
Book Description
Have you ever wondered how to make your eyes brighter, get rid of dark circles, or how to treat an unwanted pimple? Learning how to care for your skin, as well as applying natural, beautiful makeup are only the beginning. Inside you will learn secrets makeup artists use to make models picture perfect. Glowing skin, luxurious locks, and the perfect manicure should all apart of every girl's regular pamper list. As a go-to girl for makeup and beauty advice, creating a place to keep beauty tips picked up from the industry's heavy-hitters over my career as a model seemed natural. After all, why should it be just celebrities and models who are in the know to looking beautiful and glamorous?
Model
Author: Cheryl Diamond
Publisher: Simon and Schuster
ISBN: 1416974903
Category : Young Adult Nonfiction
Languages : en
Pages : 376
Book Description
Every year, hundreds of the most beautiful people in the world come to New York to become models. At age fourteen, Cheryl Diamond was one of them. Living on her own in a run-down apartment, Cheryl spent her days on go-sees, runways, and shoots, surviving hand-to-mouth, while taking in everything she could about the tough and sleazy modeling industry. She watched other girls make mistakes, and swore she wouldn't be a victim...until a career-altering event changed her life and nearly ruined her shot at her dream. This is the riveting, true account of Cheryl's triumphant rise, disastrous fall, and phoenix-like comeback in one of the hottest and most demanding industries in the world.
Publisher: Simon and Schuster
ISBN: 1416974903
Category : Young Adult Nonfiction
Languages : en
Pages : 376
Book Description
Every year, hundreds of the most beautiful people in the world come to New York to become models. At age fourteen, Cheryl Diamond was one of them. Living on her own in a run-down apartment, Cheryl spent her days on go-sees, runways, and shoots, surviving hand-to-mouth, while taking in everything she could about the tough and sleazy modeling industry. She watched other girls make mistakes, and swore she wouldn't be a victim...until a career-altering event changed her life and nearly ruined her shot at her dream. This is the riveting, true account of Cheryl's triumphant rise, disastrous fall, and phoenix-like comeback in one of the hottest and most demanding industries in the world.
Models of My Life
Author: Herbert A. Simon
Publisher: MIT Press
ISBN: 026269185X
Category : Biography & Autobiography
Languages : en
Pages : 463
Book Description
In this candid and witty autobiography, Nobel laureate Herbert A. Simon looks at his distinguished and varied career, continually asking himself whether (and how) what he learned as a scientist helps to explain other aspects of his life. A brilliant polymath in an age of increasing specialization, Simon is one of those rare scholars whose work defines fields of inquiry. Crossing disciplinary lines in half a dozen fields, Simon's story encompasses an explosion in the information sciences, the transformation of psychology by the information-processing paradigm, and the use of computer simulation for modeling the behavior of highly complex systems. Simon's theory of bounded rationality led to a Nobel Prize in economics, and his work on building machines that think—based on the notion that human intelligence is the rule-governed manipulation of symbols—laid conceptual foundations for the new cognitive science. Subsequently, contrasting metaphors of the maze (Simon's view) and of the mind (neural nets) have dominated the artificial intelligence debate. There is also a warm account of his successful marriage and of an unconsummated love affair, letters to his children, columns, a short story, and political and personal intrigue in academe.
Publisher: MIT Press
ISBN: 026269185X
Category : Biography & Autobiography
Languages : en
Pages : 463
Book Description
In this candid and witty autobiography, Nobel laureate Herbert A. Simon looks at his distinguished and varied career, continually asking himself whether (and how) what he learned as a scientist helps to explain other aspects of his life. A brilliant polymath in an age of increasing specialization, Simon is one of those rare scholars whose work defines fields of inquiry. Crossing disciplinary lines in half a dozen fields, Simon's story encompasses an explosion in the information sciences, the transformation of psychology by the information-processing paradigm, and the use of computer simulation for modeling the behavior of highly complex systems. Simon's theory of bounded rationality led to a Nobel Prize in economics, and his work on building machines that think—based on the notion that human intelligence is the rule-governed manipulation of symbols—laid conceptual foundations for the new cognitive science. Subsequently, contrasting metaphors of the maze (Simon's view) and of the mind (neural nets) have dominated the artificial intelligence debate. There is also a warm account of his successful marriage and of an unconsummated love affair, letters to his children, columns, a short story, and political and personal intrigue in academe.