Optimal Dating Algorithms

This text provides deep and comprehensive coverage of the mathematical background for data science, including machine learning, optimal recovery, compressed sensing, optimization, and neural networks. In the past few decades, heuristic methods adopted by big tech companies have complemented existing scientific disciplines to form the new field of Data Science. This text embarks the readers on an engaging itinerary through the theory supporting the field. Altogether, twenty-seven lecture-length chapters with exercises provide all the details necessary for a solid understanding of key topics in data science. While the book covers standard material on machine learning and optimization, it also includes distinctive presentations of topics such as reproducing kernel Hilbert spaces, spectral clustering, optimal recovery, compressed sensing, group testing, and applications of semidefinite programming. Students and data scientists with less mathematical background will appreciate the appendice

An exploration of how heteronormative bias is deeply embedded in the internet, hidden in algorithms, keywords, content moderation, and more.In The Digital Closet, Alexander Monea argues provocatively that the Internet became straight by suppressing everything that is not, forcing LGBTQ+ content into increasingly narrow channels―rendering it invisible through opaque algorithms, automated and human content moderation, warped keywords, and other strategies of digital overreach. Monea explains how the United States’ thirty-year “war on porn” has brought about the over-regulation of sexual content, which, in turn, has resulted in the censorship of much nonpornographic content―including material on sex education and LGBTQ+ activism. In this wide-ranging, enlightening account, Monea examines the cultural, technological, and political conditions that put LGBTQ content into the closet. Monea looks at the anti-porn activism of the alt-right, Christian conservatives, and anti-porn feminists, who

The New York Times bestselling author of The Unhoneymooners returns with an effervescent, "emotional...and surprising" (Shondaland) novel about what happens when two people with everything on the line are thrown together by science--or is it fate? Perfect for fans of The Rosie Project and One Plus One. In this "sexy, science-filled, and surprising romance full of warmth and wit" (Kirkus Reviews, starred review), single mom Jess Davis is a data and statistics wizard, but no amount of number crunching can convince her to step back into the dating world. After all, her father was never around, her hard-partying mother disappeared when she was six, and her ex decided he wasn't "father material" before her daughter was even born. Jess holds her loved ones close but working constantly to stay afloat is hard...and lonely. But then Jess hears about GeneticAlly, a buzzy new DNA-based matchmaking company that's predicted to change dating forever. Finding a soulmate through DNA? The reliability o

This book proposes three liability regimes to combat the wide responsibility gaps caused by AI systems - vicarious liability for autonomous software agents (actants); enterprise liability for inseparable human-AI interactions (hybrids); and collective fund liability for interconnected AI systems (crowds). Based on information technology studies, the book first develops a threefold typology that distinguishes individual, hybrid and collective machine behaviour. A subsequent social science analysis specifies the socio-digital institutions related to this threefold typology. Then it determines the social risks that emerge when algorithms operate within these institutions. Actants raise the risk of digital autonomy, hybrids the risk of double contingency in human-algorithm encounters, crowds the risk of opaque interconnections. The book demonstrates that the law needs to respond to these specific risks, by recognising personified algorithms as vicarious agents, human-machine associations a

The final installment in the chilling Fogg Lake trilogy by New York Times bestselling author Jayne Ann Krentz. Olivia LeClair's experiment with speed dating is not going well. First there was the nasty encounter with the date from hell who tried to murder her and now the mysterious Harlan Rancourt--long believed dead--sits down at her table and tells her she's the only one who can help him locate the legendary Vortex lab. This is not what Olivia had in mind when she signed up for the Four Event Success Guaranteed package offered by the dating agency. She doesn't have much choice, though, because her psychic investigation firm works for the mysterious Foundation and Victor Arganbright, the director, is adamant that she assist Harlan. There's just one problem--no one knows Harlan's real agenda. His father once ran the Foundation like a mob organization, and Harlan was destined to be his heir. There's a real possibility Harlan has returned to claim his inheritance. For now, however, it's

Connecting theory with practice, this systematic and rigorous introduction covers the fundamental principles, algorithms and applications of key mathematical models for high-dimensional data analysis. Comprehensive in its approach, it provides unified coverage of many different low-dimensional models and analytical techniques, including sparse and low-rank models, and both convex and non-convex formulations. Readers will learn how to develop efficient and scalable algorithms for solving real-world problems, supported by numerous examples and exercises throughout, and how to use the computational tools learnt in several application contexts. Applications presented include scientific imaging, communication, face recognition, 3D vision, and deep networks for classification. With code available online, this is an ideal textbook for senior and graduate students in computer science, data science, and electrical engineering, as well as for those taking courses on sparsity, low-dimensional str

Deep Learning in Practice helps you learn how to develop and optimize a model for your projects using Deep Learning (DL) methods and architectures.Key features: Demonstrates a quick review on Python, NumPy, and TensorFlow fundamentals.Explains and provides examples of deploying TensorFlow and Keras in several projects.Explains the fundamentals of Artificial Neural Networks (ANNs).Presents several examples and applications of ANNs.Learning the most popular DL algorithms features.Explains and provides examples for the DL algorithms that are presented in this book.Analyzes the DL network's parameter and hyperparameters.Reviews state-of-the-art DL examples.Necessary and main steps for DL modeling.Implements a Virtual Assistant Robot (VAR) using DL methods.Necessary and fundamental information to choose a proper DL algorithm.Gives instructions to learn how to optimize your DL model IN PRACTICE.This book is useful for undergraduate and graduate students, as well as practitioners in industry

Based on course-tested material, this rigorous yet accessible graduate textbook covers both fundamental and advanced optimization theory and algorithms. It covers a wide range of numerical methods and topics, including both gradient-based and gradient-free algorithms, multidisciplinary design optimization, and uncertainty, with instruction on how to determine which algorithm should be used for a given application. It also provides an overview of models and how to prepare them for use with numerical optimization, including derivative computation. Over 400 high-quality visualizations and numerous examples facilitate understanding of the theory, and practical tips address common issues encountered in practical engineering design optimization and how to address them. Numerous end-of-chapter homework problems, progressing in difficulty, help put knowledge into practice. Accompanied online by a solutions manual for instructors and source code for problems, this is ideal for a one- or two-sem

Applications of queueing network models have multiplied in the last generation, including scheduling of large manufacturing systems, control of patient flow in health systems, load balancing in cloud computing, and matching in ride sharing. These problems are too large and complex for exact solution, but their scale allows approximation. This book is the first comprehensive treatment of fluid scaling, diffusion scaling, and many-server scaling in a single text presented at a level suitable for graduate students. Fluid scaling is used to verify stability, in particular treating max weight policies, and to study optimal control of transient queueing networks. Diffusion scaling is used to control systems in balanced heavy traffic, by solving for optimal scheduling, admission control, and routing in Brownian networks. Many-server scaling is studied in the quality and efficiency driven Halfin–Whitt regime and applied to load balancing in the supermarket model and to bipartite matching in ri

Applications of queueing network models have multiplied in the last generation, including scheduling of large manufacturing systems, control of patient flow in health systems, load balancing in cloud computing, and matching in ride sharing. These problems are too large and complex for exact solution, but their scale allows approximation. This book is the first comprehensive treatment of fluid scaling, diffusion scaling, and many-server scaling in a single text presented at a level suitable for graduate students. Fluid scaling is used to verify stability, in particular treating max weight policies, and to study optimal control of transient queueing networks. Diffusion scaling is used to control systems in balanced heavy traffic, by solving for optimal scheduling, admission control, and routing in Brownian networks. Many-server scaling is studied in the quality and efficiency driven Halfin–Whitt regime and applied to load balancing in the supermarket model and to bipartite matching in ri

An accessible analysis of the new forms of work whose seismic changes will increasingly determine the future of capitalism Automation and the decline in industrial employment have lead to rising fears of a workless future. But what happens when your work itself is the thing that will make your job obsolete? In the past few years, online crowdworking platforms - like Amazon's Mechanical Turk and Clickworker - have become an increasingly important source of work, particularly for those in the Global South. Here, small tasks are assigned to people online, and are often used to train algorithms to spot patterns, patterns through machine learning those same algorithms will then be able to spot more effectively than humans. Used for everything from the mechanics of self-driving cars to Google image search, this is an increasingly powerful part of the digital ecomomy. But what happens to work when it makes itself obsolete. In this stimulating work that blends political economy, studies of con

Two exes must revisit their past after their siblings start dating in this #ownvoices rom-com that is perfect for fans of Sandhya Menon, David Yoon, and Morgan Matson.After Kiran Noorani’s mom died, K

Know how to adapt quantum computing and machine learning algorithms. This book takes you on a journey into hands-on quantum machine learning (QML) through various options available in industry and res

From award-winning Carolyn Mackler, the story of Willa, who has been living with Sensory Processing Disorder but is thrown for a BIG loop when her dad announces he's dating Willa's best friend's mom.W

The most fascinating and profitable subject of predictive algorithms is the human actor. Analysing big data through learning algorithms to predict and pre-empt individual decisions gives a powerful tool to corporations, political parties and the state. Algorithmic analysis of digital footprints, as an omnipresent form of surveillance, has already been used in diverse contexts: behavioural advertising, personalised pricing, political micro-targeting, precision medicine, and predictive policing and prison sentencing. This volume brings together experts to offer philosophical, sociological, and legal perspectives on these personalised data practices. It explores common themes such as choice, personal autonomy, equality, privacy, and corporate and governmental efficiency against the normative frameworks of the market, democracy and the rule of law. By offering these insights, this collection on data-driven personalisation seeks to stimulate an interdisciplinary debate on one of the most pe

When you swear off men for the foreseeable future, that means no dating. Meaningless flings don’t count, right?Harper Ryland has been on a self-imposed man ban for the last twelve months, after a part

From the #1 New York Times bestselling author of I Owe You One, an utterly delightful novel about a woman who ditches her dating app for a writer’s retreat in Italy—only to find that real love comes w

It's senior year, and Simone Thibodeaux is ready to shake things up.Until now, her life has been sealed in a boy-proof container, thanks to her strict Haitian immigrant parents, who enforce no-dating

Discover the wisdom of the stars between these pages for instant cosmic guidance on any question. Career conundrums? Dating dilemmas? Friendship fracas? In our fast-paced, data-flooded lives it can be

Discover the wisdom of the stars between these pages for instant cosmic guidance on any question. Career conundrums? Dating dilemmas? Friendship fracas? In our fast-paced, data-flooded lives it can be

Discover the wisdom of the stars between these pages for instant cosmic guidance on any question. Career conundrums? Dating dilemmas? Friendship fracas? In our fast-paced, data-flooded lives it can be

Discover the wisdom of the stars between these pages for instant cosmic guidance on any question. Career conundrums? Dating dilemmas? Friendship fracas? In our fast-paced, data-flooded lives it can be

Discover the wisdom of the stars between these pages for instant cosmic guidance on any question. Career conundrums? Dating dilemmas? Friendship fracas? In our fast-paced, data-flooded lives it can be

Discover the wisdom of the stars between these pages for instant cosmic guidance on any question. Career conundrums? Dating dilemmas? Friendship fracas? In our fast-paced, data-flooded lives it can be

Discover the wisdom of the stars between these pages for instant cosmic guidance on any question. Career conundrums? Dating dilemmas? Friendship fracas? In our fast-paced, data-flooded lives it can be

Discover the wisdom of the stars between these pages for instant cosmic guidance on any question. Career conundrums? Dating dilemmas? Friendship fracas? In our fast-paced, data-flooded lives it can be

Discover the wisdom of the stars between these pages for instant cosmic guidance on any question. Career conundrums? Dating dilemmas? Friendship fracas? In our fast-paced, data-flooded lives it can be

Discover the wisdom of the stars between these pages for instant cosmic guidance on any question. Career conundrums? Dating dilemmas? Friendship fracas? In our fast-paced, data-flooded lives it can be

Discover the wisdom of the stars between these pages for instant cosmic guidance on any question. Career conundrums? Dating dilemmas? Friendship fracas? In our fast-paced, data-flooded lives it can be

Discover the wisdom of the stars between these pages for instant cosmic guidance on any question. Career conundrums? Dating dilemmas? Friendship fracas? In our fast-paced, data-flooded lives it can be

After a public meltdown over her breakup from her cheating musician boyfriend, Cherisse swore off guys in the music industry, and dating in general for a while, preferring to focus on growing her past

String matching is one of the oldest algorithmic techniques, yet still one of the most pervasive in computer science. The past 20 years have seen technological leaps in applications as diverse as information retrieval and compression. This copiously illustrated collection of puzzles and exercises in key areas of text algorithms and combinatorics on words offers graduate students and researchers a pleasant and direct way to learn and practice with advanced concepts. The problems are drawn from a large range of scientific publications, both classic and new. Building up from the basics, the book goes on to showcase problems in combinatorics on words (including Fibonacci or Thue-Morse words), pattern matching (including Knuth-Morris-Pratt and Boyer-Moore like algorithms), efficient text data structures (including suffix trees and suffix arrays), regularities in words (including periods and runs) and text compression (including Huffman, Lempel-Ziv and Burrows-Wheeler based methods).

String matching is one of the oldest algorithmic techniques, yet still one of the most pervasive in computer science. The past 20 years have seen technological leaps in applications as diverse as information retrieval and compression. This copiously illustrated collection of puzzles and exercises in key areas of text algorithms and combinatorics on words offers graduate students and researchers a pleasant and direct way to learn and practice with advanced concepts. The problems are drawn from a large range of scientific publications, both classic and new. Building up from the basics, the book goes on to showcase problems in combinatorics on words (including Fibonacci or Thue-Morse words), pattern matching (including Knuth-Morris-Pratt and Boyer-Moore like algorithms), efficient text data structures (including suffix trees and suffix arrays), regularities in words (including periods and runs) and text compression (including Huffman, Lempel-Ziv and Burrows-Wheeler based methods).

A multidisciplinary introduction to the field of computational creativity, analyzing the impact of advanced generative technologies on art and music.As algorithms get smarter, what role will computers

A richly-illustrated, full-color introduction to deep learning that offers visual and conceptual explanations instead of equations. You'll learn how to use key deep learning algorithms without the nee

“A wry, funny and touching meditation on loneliness, that private shame of the singleton in the era of the dating app and of fraudulent boasting on social media … written with a real depth of insight,

This book marries social work and artificial intelligence to provide an introductory guide for using AI for social good. Following an introductory chapter laying out approaches and ethical principles of using AI for social work interventions, the book describes in detail an intervention to increase the spread of HIV information by using algorithms to determine the key individuals in a social network of homeless youth. Other chapters present interdisciplinary collaborations between AI and social work students, including a chatbot for sexual health information and algorithms to determine who is at higher stress among persons with Type 2 Diabetes. For students, academic researchers, industry leaders, and practitioners, these real-life examples from the USC Center for Artificial Intelligence in Society demonstrate how social work and artificial intelligence can be used in tandem for the greater good.

In this funny and practical guide, a behavioral scientist turned dating coach helps you understand - and overcome - the hidden forces keeping you from finding lasting love. Have you ever looked arou

The author of I Used to Be a Miserable F*ck, The Angry Therapist, now teaches you how to prioritize your relationship with yourself and live a more meaningful life, whether you're alone, dating, or wi