How to Model it
Author: A. M. Starfield
Publisher: Burgess International Group Incorporated
Published: 1994
Total Pages: 232
ISBN-13:
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How to Model it
Author: A. M. Starfield
Publisher: McGraw-Hill Companies
Published: 1990
Total Pages: 224
ISBN-13:
DOWNLOAD EBOOKModel-Based Machine Learning
Author: John Winn
Publisher: CRC Press
Published: 2023-11-30
Total Pages: 469
ISBN-13: 1498756824
DOWNLOAD EBOOKToday, machine learning is being applied to a growing variety of problems in a bewildering variety of domains. A fundamental challenge when using machine learning is connecting the abstract mathematics of a machine learning technique to a concrete, real world problem. This book tackles this challenge through model-based machine learning which focuses on understanding the assumptions encoded in a machine learning system and their corresponding impact on the behaviour of the system. The key ideas of model-based machine learning are introduced through a series of case studies involving real-world applications. Case studies play a central role because it is only in the context of applications that it makes sense to discuss modelling assumptions. Each chapter introduces one case study and works through step-by-step to solve it using a model-based approach. The aim is not just to explain machine learning methods, but also showcase how to create, debug, and evolve them to solve a problem. Features: Explores the assumptions being made by machine learning systems and the effect these assumptions have when the system is applied to concrete problems. Explains machine learning concepts as they arise in real-world case studies. Shows how to diagnose, understand and address problems with machine learning systems. Full source code available, allowing models and results to be reproduced and explored. Includes optional deep-dive sections with more mathematical details on inference algorithms for the interested reader.
R for Data Science
Author: Hadley Wickham
Publisher: "O'Reilly Media, Inc."
Published: 2016-12-12
Total Pages: 521
ISBN-13: 1491910364
DOWNLOAD EBOOKLearn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
Getting More
Author: Stuart Diamond
Publisher: Crown Currency
Published: 2010-12-28
Total Pages: 418
ISBN-13: 0307716910
DOWNLOAD EBOOKNEW YORK TIMES BESTSELLER • Learn the negotiation model used by Google to train employees worldwide, U.S. Special Ops to promote stability globally (“this stuff saves lives”), and families to forge better relationships. A 20% discount on an item already on sale. A four-year-old willingly brushes his/her teeth and goes to bed. A vacationing couple gets on a flight that has left the gate. $5 million more for a small business; a billion dollars at a big one. Based on thirty years of research among forty thousand people in sixty countries, Wharton Business School Professor and Pulitzer Prize winner Stuart Diamond shows in this unique and revolutionary book how emotional intelligence, perceptions, cultural diversity and collaboration produce four times as much value as old-school, conflictive, power, leverage and logic. As negotiations underlie every human encounter, this immediately-usable advice works in virtually any situation: kids, jobs, travel, shopping, business, politics, relationships, cultures, partners, competitors. The tools are invisible until you first see them. Then they’re always there to solve your problems and meet your goals.
Models of the Mind
Author: Grace Lindsay
Publisher: Bloomsbury Publishing
Published: 2021-03-04
Total Pages: 401
ISBN-13: 1472966457
DOWNLOAD EBOOKThe 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.
Interpretable Machine Learning
Author: Christoph Molnar
Publisher: Lulu.com
Published: 2020
Total Pages: 320
ISBN-13: 0244768528
DOWNLOAD EBOOKThis 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.
Change Is the Only Constant
Author: Ben Orlin
Publisher: Black Dog & Leventhal
Published: 2019-10-08
Total Pages: 459
ISBN-13: 031650906X
DOWNLOAD EBOOKFrom popular math blogger and author of the underground bestseller Math With Bad Drawings, Change Is The Only Constant is an engaging and eloquent exploration of the intersection between calculus and daily life, complete with Orlin's sly humor and wonderfully bad drawings. Change is the Only Constant is an engaging and eloquent exploration of the intersection between calculus and daily life, complete with Orlin's sly humor and memorably bad drawings. By spinning 28 engaging mathematical tales, Orlin shows us that calculus is simply another language to express the very things we humans grapple with every day -- love, risk, time, and most importantly, change. Divided into two parts, "Moments" and "Eternities," and drawing on everyone from Sherlock Holmes to Mark Twain to David Foster Wallace, Change is the Only Constant unearths connections between calculus, art, literature, and a beloved dog named Elvis. This is not just math for math's sake; it's math for the sake of becoming a wiser and more thoughtful human.
Seizing the White Space
Author: Mark W. Johnson
Publisher: Harvard Business Press
Published: 2010
Total Pages: 227
ISBN-13: 1422124819
DOWNLOAD EBOOKTransformational new growth remains the Holy Grail for many organizations. But a deep understanding of how great business models are made can provide the key to unlocking that growth. This text describes how companies can achieve transformational growth in new markets or, simply put, how they can seize the white space.
Discrete Choice Methods with Simulation
Author: Kenneth Train
Publisher: Cambridge University Press
Published: 2009-07-06
Total Pages: 399
ISBN-13: 0521766559
DOWNLOAD EBOOKThis book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on these basics. Simulation-assisted estimation procedures are investigated and compared, including maximum stimulated likelihood, method of simulated moments, and method of simulated scores. Procedures for drawing from densities are described, including variance reduction techniques such as anithetics and Halton draws. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. The second edition adds chapters on endogeneity and expectation-maximization (EM) algorithms. No other book incorporates all these fields, which have arisen in the past 25 years. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.
