grokking algorithms aditya bhargava
Grokking Algorithms - Aditya Bhargava
A friendly, fully-illustrated introduction to the most important computer programming algorithms. The algorithms you''ll use most often as a programmer have already been discovered, tested, and proven. This book will prepare you for those pesky algorithms questions in every programming job interview and help you apply them in your day-to-day work. And if you want to understand them without slogging through dense multipage proofs, this is the book for you. In Grokking Algorithms, Second Edition you will discover: Search, sort, and graph algorithms Data structures such as arrays, lists, hash tables, trees, and graphs NP complete and greedy algorithms Performance trade-offs between algorithms Exercises and code samples in every chapter Over 400 illustrations with detailed walkthroughs The first edition of Grokking Algorithms proved to over 100,000 readers that learning algorithms doesn''t have to be complicated or boring! This new edition now includes fresh coverage of trees, NP complete problems, and code updates to Python 3. With easy-to-read, friendly explanations, clever examples, and exercises to sharpen your skills as you learn, you’ll actually enjoy learning these important algorithms.
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Grokking Artificial Intelligence Algorithms - Rishal Hurbans
AI is primed to revolutionize the way we build applications, offering exciting new ways to solve problems, uncover insights, innovate new products, and provide better user experiences. Successful AI is based on a set of core algorithms that form a base of knowledge shared by all data scientists. Grokking Artificial Intelligence Algorithms is a fully-illustrated and interactive tutorial guide to the different approaches and algorithms that underpin AI. Written in simple language and with lots of visual references and hands-on examples, readers learn the concepts, terminology, and theory they need to effectively incorporate AI algorithms into their applications. Grokking Artificial Intelligence Algorithms uses simple language, jargon-busting explanations, and hand-drawn diagrams to open up complex algorithms. Don’t worry if you aren’t a calculus wunderkind; you’ll need only the algebra you picked up in math class. • Use cases for different AI algorithms • How to encode problems and solutions using data structures • Intelligent search for game playing • Ant colony algorithms for path finding • Evolutionary algorithms for optimization problems For software developers with high school-level algebra and calculus skills.
Objev podobné jako Grokking Artificial Intelligence Algorithms - Rishal Hurbans
Grokking Machine Learning - Luis Serrano
It''s time to dispel the myth that machine learning is difficult. Grokking Machine Learning teaches you how to apply ML to your projects using only standard Python code and high school-level math. No specialist knowledge is required to tackle the hands-on exercises using readily available machine learning tools! In Grokking Machine Learning, expert machine learning engineer Luis Serrano introduces the most valuable ML techniques and teaches you how to make them work for you. Practical examples illustrate each new concept to ensure you’re grokking as you go. You’ll build models for spam detection, language analysis, and image recognition as you lock in each carefully-selected skill. Packed with easy-to-follow Python-based exercises and mini-projects, this book sets you on the path to becoming a machine learning expert. Key Features · Different types of machine learning, including supervised and unsupervised learning · Algorithms for simplifying, classifying, and splitting data · Machine learning packages and tools · Hands-on exercises with fully-explained Python code samples For readers with intermediate programming knowledge in Python or a similar language. About the technology Machine learning is a collection of mathematically-based techniques and algorithms that enable computers to identify patterns and generate predictions from data. This revolutionary data analysis ... Unknown localization key: "more"
Objev podobné jako Grokking Machine Learning - Luis Serrano
Grokking Simplicity - Eric Normand
Distributed across servers, difficult to test, and resistant to modification—modern software is complex. Grokking Simplicity is a friendly, practical guide that will change the way you approach software design and development. It introduces a unique approach to functional programming that explains why certain features of software are prone to complexity, and teaches you the functional techniques you can use to simplify these systems so that they’re easier to test and debug. Available in PDF (ePub, kindle, and liveBook formats coming soon). about the technologyEven experienced developers struggle with software systems that sprawl across distributed servers and APIs, are filled with redundant code, and are difficult to reliably test and modify. Adopting ways of thinking derived from functional programming can help you design and refactor your codebase in ways that reduce complexity, rather than encouraging it. Grokking Simplicity lays out how to use functional programming in a professional environment to write a codebase that’s easier to test and reuse, has fewer bugs, and is better at handling the asynchronous nature of distributed systems. about the bookIn Grokking Simplicity, you’ll learn techniques and, more importantly, a mindset that will help you tackle common problems that arise when software gets complex. Veteran functional ... Unknown localization key: "more"
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Stojan na květiny ADITE TYP 2 Tempo Kondela
STOJAN NA KVĚTINY ADITE TYP 2 Uspořádat své oblíbené rostliny do praktického rostlinného koutku dokážete s novinkou ADITE TYP 2. Stojan na květiny, na kterém vynikne každá jedna rostlina. Je moderní a elegantní. Sestává ze sedmi rozložených polic, které vytvářejí scenérii pro jednotlivé druhy rostlin. VLASTNOSTI A MATERIÁL Jeho minimalistický design v podobě stabilní kovové konstrukce v kombinaci se dřevem přitáhne nejeden zrak kolemjdoucího návštěvníka. Pastvu pro oči umocní barevná kombinace černého kovu s policemi v provedení rustikálního dřeva. S lehkostí a s ADITE TYP 2, tak vyzdobíte svůj obývací pokoj, ložnici nebo i předsíň. TECHNICKÉ PARAMETRY Barva: rustikální dřevo / černáMateriál: DTD / kovRozměry:šířka: 83,5 cm hloubka: 58 cm výška: 106,5 cm tloušťka tyče: 1,9 cm Nosnost: 2 kg / policeHmotnost:7 kg MONTÁŽ Stojan na květiny je dodáván v demontovaném stavu. Jeho montáž je jednoduchá díky přiloženému montážnímu návodu.
Objev podobné jako Stojan na květiny ADITE TYP 2 Tempo Kondela
Aditi and the Thames Dragon - Suniti Namjoshi
In this delightful sequel to Aditi and the One-Eyed Monkey, the postal parrot brings a cryptic letter for ''Aditi and Friends'' — an urgent call for help from London! There’s an urgent call for help from London, and Aditi and her friends—the One-eyed monkey, Elephant and Ant—fly off on the back of their new friend, the Dragon. There they discover that the River Thames is being slowly poisoned... and the River Dragon who lives in it is dying. Something has to be done quickly. And what they do lands them on primetime television news!How do you explain things to those who won''t listen? Are "real" dragons different than "unreal" ones? Suniti Namjoshi weaves fantasy, philosophy and feeling deftly into a story that will keep readers enthralled.
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Essential Algorithms - Rod Stephens
A friendly introduction to the most useful algorithms written in simple, intuitive English The revised and updated second edition of Essential Algorithms, offers an accessible introduction to computer algorithms. The book contains a description of important classical algorithms and explains when each is appropriate. The author shows how to analyze algorithms in order to understand their behavior and teaches techniques that the can be used to create new algorithms to meet future needs. The text includes useful algorithms such as: methods for manipulating common data structures, advanced data structures, network algorithms, and numerical algorithms. It also offers a variety of general problem-solving techniques. In addition to describing algorithms and approaches, the author offers details on how to analyze the performance of algorithms. The book is filled with exercises that can be used to explore ways to modify the algorithms in order to apply them to new situations. This updated edition of Essential Algorithms: Contains explanations of algorithms in simple terms, rather than complicated mathSteps through powerful algorithms that can be used to solve difficult programming problemsHelps prepare for programming job interviews that typically include algorithmic questionsOffers methods can be applied to any programming languageIncludes exercises and solutions useful to both ... Unknown localization key: "more"
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Grokking Deep Reinforcement Learning - Miguel Morales
Written for developers with some understanding of deep learning algorithms. Experience with reinforcement learning is not required. Grokking Deep Reinforcement Learning introduces this powerful machine learning approach, using examples, illustrations, exercises, and crystal-clear teaching. You''ll love the perfectly paced teaching and the clever, engaging writing style as you dig into this awesome exploration of reinforcement learning fundamentals, effective deep learning techniques, and practical applications in this emerging field. We all learn through trial and error. We avoid the things that cause us to experience pain and failure. We embrace and build on the things that give us reward and success. This common pattern is the foundation of deep reinforcement learning: building machine learning systems that explore and learn based on the responses of the environment. • Foundational reinforcement learning concepts and methods • The most popular deep reinforcement learning agents solving high-dimensional environments • Cutting-edge agents that emulate human-like behavior and techniques for artificial general intelligence Deep reinforcement learning is a form of machine learning in which AI agents learn optimal behavior on their own from raw sensory input. The system perceives the environment, interprets the results of its past decisions and uses this information to optimize its behavior for ... Unknown localization key: "more"
Objev podobné jako Grokking Deep Reinforcement Learning - Miguel Morales
Grokking Deep Learning - Andrew W Trask
Artificial Intelligence is the most exciting technology of the century, and Deep Learning is, quite literally, the “brain†behind the world’s smartest Artificial Intelligence systems out there. Grokking Deep Learning is the perfect place to begin the deep learning journey. Rather than just learning the “black box†API of some library or framework, readers will actually understand how to build these algorithms completely from scratch. Key Features:Build neural networks that can see and understand images Build an A.I. that will learn to defeat you in a classic Atari gameHands-on Learning Written for readers with high school-level math and intermediateprogramming skills. Experience with Calculus is helpful but notrequired. ABOUT THE TECHNOLOGY Deep Learning is a subset of Machine Learning, which is a field dedicated to the study and development of machines that can learn, often with the goal of eventually attaining general artificial intelligence.
Objev podobné jako Grokking Deep Learning - Andrew W Trask
Introduction to Algorithms, fourth edition - Thomas H. Cormen, Charles E. Leiserson
A comprehensive update of the leading algorithms text, with new material on matchings in bipartite graphs, online algorithms, machine learning, and other topics.Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. It covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers, with self-contained chapters and algorithms in pseudocode. Since the publication of the first edition, Introduction to Algorithms has become the leading algorithms text in universities worldwide as well as the standard reference for professionals. This fourth edition has been updated throughout.New for the fourth edition New chapters on matchings in bipartite graphs, online algorithms, and machine learningNew material on topics including solving recurrence equations, hash tables, potential functions, and suffix arrays140 new exercises and 22 new problemsReader feedback–informed improvements to old problemsClearer, more personal, and gender-neutral writing styleColor added to improve visual presentationNotes, bibliography, and index updated to reflect developments in the fieldWebsite with new supplementary materialWarning: Avoid counterfeit copies of Introduction to Algorithms by buying only from reputable retailers. Counterfeit and pirated copies are incomplete and contain errors.
Objev podobné jako Introduction to Algorithms, fourth edition - Thomas H. Cormen, Charles E. Leiserson
Algorithms and Data Structures in Action - Marcello La Rocca
As a software engineer, you’ll encounter countless programming challenges that initially seem confusing, difficult, or even impossible. Don’t despair! Many of these “new†problems already have well-established solutions. Advanced Algorithms and Data Structures teaches you powerful approaches to a wide range of tricky coding challenges that you can adapt and apply to your own applications. Providing a balanced blend of classic, advanced, and new algorithms, this practical guide upgrades your programming toolbox with new perspectives and hands-on techniques. about the technology Data structures and algorithms are the foundations for how programs store and process information. Choosing the optimal algorithms ensures that your programs are fast, efficient, and reliable. about the book Algorithms and Data Structures in Action expands on the basic algorithms you already know to give you a better selection of solutions to different programming problems. In it, you’ll discover techniques for improving priority queues, efficient caching, clustering data, and more. Each example is fully illustrated with graphics, language agnostic pseudo-code, and code samples in various languages. When you’re done, you will be able to implement advanced and little-known algorithms to deliver better performance from your code. what''s inside Improving on basic data structures Efficient caching Nearest neighbour search, ... Unknown localization key: "more"
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Basic Concepts In Algorithms - Shmuel Tomi Klein
This book is the result of several decades of teaching experience in data structures and algorithms. It is self-contained but does assume some prior knowledge of data structures, and a grasp of basic programming and mathematics tools. Basic Concepts in Algorithms focuses on more advanced paradigms and methods combining basic programming constructs as building blocks and their usefulness in the derivation of algorithms. Its coverage includes the algorithms'' design process and an analysis of their performance. It is primarily intended as a textbook for the teaching of Algorithms for second year undergraduate students in study fields related to computers and programming.Klein reproduces his oral teaching style in writing, with one topic leading to another, related one. Most of the classical and some more advanced subjects in the theory of algorithms are covered, though not in a comprehensive manner. The topics include Divide and Conquer, Dynamic Programming, Graph algorithms, probabilistic algorithms, data compression, numerical algorithms and intractability. Each chapter comes with its own set of exercises, and solutions to most of them are appended.Related Link(s)
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Machine Learning Algorithms in Depth - Vadim Smolyakov
Develop a mathematical intuition around machine learning algorithms to improve model performance and effectively troubleshoot complex ML problems. For intermediate machine learning practitioners familiar with linear algebra, probability, and basic calculus. Machine Learning Algorithms in Depth dives into the design and underlying principles of some of the most exciting machine learning (ML) algorithms in the world today. With a particular emphasis on probability-based algorithms, you will learn the fundamentals of Bayesian inference and deep learning. You will also explore the core data structures and algorithmic paradigms for machine learning. You will explore practical implementations of dozens of ML algorithms, including: Monte Carlo Stock Price Simulation Image Denoising using Mean-Field Variational Inference EM algorithm for Hidden Markov Models Imbalanced Learning, Active Learning and Ensemble Learning Bayesian Optimisation for Hyperparameter Tuning Dirichlet Process K-Means for Clustering Applications Stock Clusters based on Inverse Covariance Estimation Energy Minimisation using Simulated Annealing Image Search based on ResNet Convolutional Neural Network Anomaly Detection in Time-Series using Variational Autoencoders Each algorithm is fully explored with both math and practical implementations so you can see how they work and put into action. About the technology Fully understanding how machine learning algorithms function is essential for any serious ML ... Unknown localization key: "more"
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Graph Algorithms for Data Science - Bratanic Tomaz
Graphs are the natural way to understand connected data. This book explores the most important algorithms and techniques for graphs in data science, with practical examples and concrete advice on implementation and deployment. In Graph Algorithms for Data Science you will learn: Labeled-property graph modeling Constructing a graph from structured data such as CSV or SQL NLP techniques to construct a graph from unstructured data Cypher query language syntax to manipulate data and extract insights Social network analysis algorithms like PageRank and community detection How to translate graph structure to a ML model input with node embedding models Using graph features in node classification and link prediction workflows Graph Algorithms for Data Science is a hands-on guide to working with graph-based data in applications like machine learning, fraud detection, and business data analysis. It''s filled with fascinating and fun projects, demonstrating the ins-and-outs of graphs. You''ll gain practical skills by analyzing Twitter, building graphs with NLP techniques, and much more. You don''t need any graph experience to start benefiting from this insightful guide. These powerful graph algorithms are explained in clear, jargon-free text and illustrations that makes them easy to apply to your own projects. about the technology Graphs reveal ... Unknown localization key: "more"
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Algorithms - Panos Louridas
An accessible introduction to algorithms, explaining not just what they are but how they work, with examples from a wide range of application areas.Digital technology runs on algorithms, sets of instructions that describe how to do something efficiently. Application areas range from search engines to tournament scheduling, DNA sequencing, and machine learning. Arguing that every educated person today needs to have some understanding of algorithms and what they do, in this volume in the MIT Press Essential Knowledge series, Panos Louridas offers an introduction to algorithms that is accessible to the nonspecialist reader. Louridas explains not just what algorithms are but also how they work, offering a wide range of examples and keeping mathematics to a minimum.After discussing what an algorithm does and how its effectiveness can be measured, Louridas covers three of the most fundamental applications areas: graphs, which describe networks, from eighteenth-century problems to today''s social networks; searching, and how to find the fastest way to search; and sorting, and the importance of choosing the best algorithm for particular tasks. He then presents larger-scale applications: PageRank, Google''s founding algorithm; and neural networks and deep learning. Finally, Louridas describes how all algorithms are nothing more than simple moves with ... Unknown localization key: "more"
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Algorithms - Kevin Wayne, Robert Sedgewick
The leading introduction to computer algorithms in use today, including fifty algorithms every programmer should know Princeton Computer Science professors, Robert Sedgewick and Kevin Wayne, survey the most important computer algorithms in use and of interest to anyone working in science, mathematics, and engineering, and those who use computation in the liberal arts. They provide a full treatment of data structures and algorithms for key areas that enable you to confidently implement, debug, and put them to work in any computational environment. Fundamentals: Basic programming models Data abstraction Bags, queues, and stacks Analysis of algorithms Sorting Elementary sorts Mergesort Quicksort Priority queues Applications Graphs Undirected graphs Directed graphs Minimum spanning trees Shortest paths Strings String sorts Tries Substring search Regular expressions Data compression These algorithms are generally ingenious creations that, remarkably, can each be expressed in just a dozen or two lines of code. As a group, they represent problem-solving power of amazing scope. They have enabled the construction of computational artifacts, the solution of scientific problems, and the development of commercial applications that would not have been feasible without them.
Objev podobné jako Algorithms - Kevin Wayne, Robert Sedgewick
A Common-Sense Guide to Data Structures and Algorithms in Javascript, Volume 1 - Jay Wengrow
If you thought data structures and algorithms were all just theory, you''re missing out on what they can do for your JavaScript code. Learn to use Big O notation to make your code run faster by orders of magnitude. Choose from data structures such as hash tables, trees, and graphs to increase your code''s efficiency exponentially. With simple language and clear diagrams, this book makes this complex topic accessible, no matter your background. Every chapter features practice exercises to give you the hands-on information you need to master data structures and algorithms for your day-to-day work.Algorithms and data structures are much more than abstract concepts. Mastering them enables you to write code that runs faster and more efficiently, which is particularly important for today''s web and mobile apps. Take a practical approach to data structures and algorithms, with techniques and real-world scenarios that you can use in your daily production code. The JavaScript edition uses JavaScript exclusively for all code examples, exercises, and solutions.Use Big O notation to measure and articulate the efficiency of your code, and modify your algorithm to make it faster. Find out how your choice of arrays, linked lists, and hash tables can dramatically affect the ... Unknown localization key: "more"
Objev podobné jako A Common-Sense Guide to Data Structures and Algorithms in Javascript, Volume 1 - Jay Wengrow
Optimization Algorithms - Alaa Khamis
Solve design, planning, and control problems using modern machine learning and AI techniques. In Optimization Algorithms: AI techniques for design, planning, and control problems you will learn: Machine learning methods for search and optimization problems The core concepts of search and optimization Deterministic and stochastic optimization techniques Graph search algorithms Nature-inspired search and optimization algorithms Efficient trade-offs between search space exploration and exploitation State-of-the-art Python libraries for search and optimization About the technology: Search and optimization algorithms are powerful tools that can help practitioners find optimal or near-optimal solutions to a wide range of design, planning and control problems. When you open a route planning app, call for a rideshare, or schedule a hospital appointment, an AI algorithm works behind the scenes to make sure you get an optimized result. This guide reveals the classical and modern algorithms behind these services.
Objev podobné jako Optimization Algorithms - Alaa Khamis
Parallel Algorithms
This book is an introduction to the field of parallel algorithms and the underpinning techniques to realize the parallelization. The emphasis is on designing algorithms within the timeless and abstracted context of a high-level programming language. The focus of the presentation is on practical applications of the algorithm design using different models of parallel computation. Each model is illustrated by providing an adequate number of algorithms to solve some problems that quite often arise in many applications in science and engineering.The book is largely self-contained, presuming no special knowledge of parallel computers or particular mathematics. In addition, the solutions to all exercises are included at the end of each chapter.The book is intended as a text in the field of the design and analysis of parallel algorithms. It includes adequate material for a course in parallel algorithms at both undergraduate and graduate levels.
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Algorithms of Oppression - Safiya Umoja Noble
A revealing look at how negative biases against women of color are embedded in search engine results and algorithms Run a Google search for "Black girls"—what will you find? "Big Booty" and other sexually explicit terms are likely to come up as top search terms. But, if you type in "white girls," the results are radically different. The suggested porn sites and un-moderated discussions about "why Black women are so sassy" or "why Black women are so angry" presents a disturbing portrait of Black womanhood in modern society. In Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities. Data discrimination is a real social problem; Noble argues that the combination of private interests in promoting certain sites, along with the monopoly status of a relatively small number of Internet search engines, leads to a biased set of search algorithms that privilege whiteness and discriminate against people of color, specifically women of color. Through an analysis of textual and media searches as well as extensive research on paid online advertising, Noble exposes a culture of racism and sexism in the way discoverability is ... Unknown localization key: "more"
Objev podobné jako Algorithms of Oppression - Safiya Umoja Noble
Algorithms of Oppression - Safiya Umoja Noble
A revealing look at how negative biases against women of color are embedded in search engine results and algorithms Run a Google search for "Black girls"—what will you find? "Big Booty" and other sexually explicit terms are likely to come up as top search terms. But, if you type in "white girls," the results are radically different. The suggested porn sites and un-moderated discussions about "why Black women are so sassy" or "why Black women are so angry" presents a disturbing portrait of Black womanhood in modern society. In Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities. Data discrimination is a real social problem; Noble argues that the combination of private interests in promoting certain sites, along with the monopoly status of a relatively small number of Internet search engines, leads to a biased set of search algorithms that privilege whiteness and discriminate against people of color, specifically women of color. Through an analysis of textual and media searches as well as extensive research on paid online advertising, Noble exposes a culture of racism and sexism in the way discoverability is ... Unknown localization key: "more"
Objev podobné jako Algorithms of Oppression - Safiya Umoja Noble
Stochastic Linear Programming Algorithms - Janos Mayer
A computationally oriented comparison of solution algorithms for two stage and jointly chance constrained stochastic linear programming problems, this is the first book to present comparative computational results with several major stochastic programming solution approaches. The following methods are considered: regularized decomposition, stochastic decomposition and successive discrete approximation methods for two stage problems; cutting plane methods, and a reduced gradient method for jointly chance constrained problems. The first part of the book introduces the algorithms, including a unified approach to decomposition methods and their regularized counterparts. The second part addresses computer implementation of the methods, describes a testing environment based on a model management system, and presents comparative computational results with the various algorithms. Emphasis is on the computational behavior of the algorithms.
Objev podobné jako Stochastic Linear Programming Algorithms - Janos Mayer
5 resetů - Aditi Nerurkar
Harvardská expertka na stres, vyhledávaná řečnice a televizní korespondentka dr. Aditi Nerurkar přichází s novým přístupem k překonávání stresu a vyhoření pomocí pěti malých, ale mocných změn v myšlení.Podle doktorky Nerurkar je třeba přehodnotit běžné mylné vnímání stresu jako pouze špatného. Stres je zdravý biologický jev, který nám pomáhá zvládat náročné životní situace. Problematickým se stává ve chvíli, kdy není naladěn na frekvenci našeho života, což má za následek vyhoření, únavu, poruchy spánku a mnoho dalších fyzických příznaků.Aby se váš stres vrátil na zdravou úroveň, nabízí doktorka Nerurkar svých pět vědecky podložených změn v myšlení, zakořeněných ve více než dvacetiletých klinických zkušenostech, pro případy, kdy je život těžký:První reset: Ujasněte si, na čem nejvíce záležíDruhý reset: Najděte klid v hlučném světěTřetí reset: Synchronizujte svůj mozek a těloČtvrtý reset: Nadechněte sePátý reset: Přiveďte na světlo své nejlepší jáDr. Nerurkar vysvětluje, proč naše každodenní pokusy o „odolnost“ – jako jsou multitasking, méně spánku a velké změny životního stylu – nejsou pro náš vystresovaný mozek prospěšné.Místo toho nám pro boj s překážkami moderního života předepisuje praktická, reálná řešení, která jsou časově i finančně nenáročná a lze je aplikovat v životě každého člověka, včetně dodržování Pravidla dvou pro budování odolnosti (tedy provedení maximálně dvou ... Unknown localization key: "more"
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The 5 Resets - Aditi Nerurkar
‘A masterful approach to rewire our brains and bodies from the inside out.’ – Arianna Huffington, Founder and CEO, Thrive GlobalFrom Harvard stress expert, Dr. Aditi Nerurkar, comes a reimagined approach to overcoming your stress and burnout using five small but mighty mindset shifts.Stress has a bad reputation but is actually a healthy biological phenomenon that helps us tackle life’s many demands. It simply becomes problematic when it’s out of tune with the frequency of our lives, resultÂing in burnout, fatigue, sleep disturbances, and many other physical symptoms. To bring stress back to healthy levels, Dr. Nerurkar offers her five science-backed mindset shifts for when life gets hard:The First Reset: Get Clear on What Matters MostThe Second Reset: Find Quiet in a Noisy WorldThe Third Reset: Sync Your Brain and Your BodyThe Fourth Reset: Come Up for AirThe Fifth Reset: Bring Your Best Self ForwardDr. Nerurkar illuminates why our everyday attempts at being ‘resilient’ – like multitasking, sleeping less, and undergoing huge lifestyle overhauls – aren’t beneficial to our stressed brains. Instead, she prescribes practical, real-world solutions for our modern-day perils that are time efficient, cost-free, and can be applied to anyone’s life, including following the Resilience Rule of 2 ... Unknown localization key: "more"
Objev podobné jako The 5 Resets - Aditi Nerurkar
Measure for Measure - William Shakespeare, Aditi Brennan Kapil
An accessible new translation of one of Shakespeare’s most interesting and challenging plays.  One of Shakespeare’s most difficult plays, Measure for Measure has long challenged performers and audiences alike. In reworking the play in her translation, Aditi Brennan Kapil honors the structure, rhythms, and themes of Shakespeare’s original. Kapil’s updated language makes this cautionary fable about frailty, power, and the perils of legislating morality accessible for today’s audiences.  This translation of Measure for Measure was written as part of the Oregon Shakespeare Festival’s Play On! project, which commissioned new translations of thirty-nine Shakespeare plays. These translations present the work of “The Bard†in language accessible to modern audiences while never losing the beauty of Shakespeare’s verse. Enlisting the talents of a diverse group of contemporary playwrights, screenwriters, and dramaturges from diverse backgrounds, this project reenvisions Shakespeare for the twenty-first century. These volumes make these works available for the first time in print—a new First Folio for a new era.
Objev podobné jako Measure for Measure - William Shakespeare, Aditi Brennan Kapil
Algorithms to Live By - Brian Christian, Tom Griffiths
A fascinating exploration of how computer algorithms can be applied to our everyday lives.In this dazzlingly interdisciplinary work, acclaimed author Brian Christian and cognitive scientist Tom Griffiths show us how the simple, precise algorithms used by computers can also untangle very human questions. Modern life is constrained by limited space and time, limits that give rise to a particular set of problems. What should we do, or leave undone, in a day or a lifetime? How much messiness should we accept? The authors explain how to have better hunches and when to leave things to chance, how to deal with overwhelming choices and how best to connect with others.From finding a spouse to finding a parking spot, from organizing one''s inbox to understanding the workings of human memory, Algorithms To Live By is full of practical takeaways to help you solve common decision-making problems and illuminate the workings of the human mind.
Objev podobné jako Algorithms to Live By - Brian Christian, Tom Griffiths
The Mathematics of the Gods and the Algorithms of Men - Paolo Zellini
Is mathematics a discovery or an invention? Do numbers truly exist? What sort of reality do formulas describe?The complexity of mathematics - its abstract rules and obscure symbols - can seem very distant from the everyday. There are those things that are real and present, it is supposed, and then there are mathematical concepts: creations of our mind, mysterious tools for those unengaged with the world. Yet, from its most remote history and deepest purpose, mathematics has served not just as a way to understand and order, but also as a foundation for the reality it describes.In this elegant book, mathematician and philosopher Paolo Zellini offers a brief cultural and intellectual history of mathematics, ranging widely from the paradoxes of ancient Greece to the sacred altars of India, from Mesopotamian calculus to our own contemporary obsession with algorithms. Masterful and illuminating, The Mathematics of the Gods and the Algorithms of Men transforms our understanding of mathematical thinking, showing that it is inextricably linked with the philosophical and the religious as well as the mundane - and, indeed, with our own very human experience of the universe.
Objev podobné jako The Mathematics of the Gods and the Algorithms of Men - Paolo Zellini
Spies, Lies, and Algorithms - Amy B. Zegart
A riveting account of espionage for the digital age, from one of America’s leading intelligence expertsSpying has never been more ubiquitous—or less understood. The world is drowning in spy movies, TV shows, and novels, but universities offer more courses on rock and roll than on the CIA and there are more congressional experts on powdered milk than espionage. This crisis in intelligence education is distorting public opinion, fueling conspiracy theories, and hurting intelligence policy. In Spies, Lies, and Algorithms, Amy Zegart separates fact from fiction as she offers an engaging and enlightening account of the past, present, and future of American espionage as it faces a revolution driven by digital technology. Drawing on decades of research and hundreds of interviews with intelligence officials, Zegart provides a history of U.S. espionage, from George Washington’s Revolutionary War spies to today’s spy satellites; examines how fictional spies are influencing real officials; gives an overview of intelligence basics and life inside America’s intelligence agencies; explains the deadly cognitive biases that can mislead analysts; and explores the vexed issues of traitors, covert action, and congressional oversight. Most of all, Zegart describes how technology is empowering new enemies and opportunities, and creating powerful new players, such ... Unknown localization key: "more"
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Introduction to the Design and Analysis of Algorithms - Anany Levitin
Based on a new classification of algorithm design techniques and a clear delineation of analysis methods, Introduction to the Design and Analysis of Algorithms presents the subject in a coherent and innovative manner. Written in a student-friendly style, the book emphasises the understanding of ideas over excessively formal treatment while thoroughly covering the material required in an introductory algorithms course. Popular puzzles are used to motivate students'' interest and strengthen their skills in algorithmic problem solving. Other learning-enhancement features include chapter summaries, hints to the exercises, and a detailed solution manual.
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Combinatorial Algorithms - Donald L. Kreher, Douglas R. Stinson
This textbook thoroughly outlines combinatorial algorithms for generation, enumeration, and search. Topics include backtracking and heuristic search methods applied to various combinatorial structures, such as:CombinationsPermutationsGraphsDesignsMany classical areas are covered as well as new research topics not included in most existing texts, such as:Group algorithmsGraph isomorphismHill-climbingHeuristic search algorithmsThis work serves as an exceptional textbook for a modern course in combinatorial algorithms, providing a unified and focused collection of recent topics of interest in the area. The authors, synthesizing material that can only be found scattered through many different sources, introduce the most important combinatorial algorithmic techniques - thus creating an accessible, comprehensive text that students of mathematics, electrical engineering, and computer science can understand without needing a prior course on combinatorics.
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Algorithms to Live By: The Computer Science of Human Decisions (0007547994)
Kniha - autor Brian Christian; Tom Griffiths, 364 stran, anglicky, brožovaná bez přebalu matná An exploration of how computer algorithms can be applied to our everyday lives, from the acclaimed author of "The Most Human Human" and a cognitive scientist.
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Cambridge IGCSE and O Level Computer Science Algorithms, Programming and Logic Workbook - David Watson, Helen Williams
This series is fully endorsed by Cambridge International to support the full syllabus for examination from 2023. Develop algorithmic and computational thinking and programming skills with further practise questions and activities. This Workbook provides additional support with practical exam-style questions for Cambridge IGCSEâ„¢ and O Level Computer Science. - Become accomplished computer scientists: the workbook provides a series of questions designed to test and develop computational thinking skills in order to solve problems.Answers to the Algorithms, Programming and Logic Workbook are available in our Teacher''s Guide with Boost Subscription 9781398318502
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Revolutionary Algorithms - Torey Akers
From an artist and TikTok creator, a critical look at the controversial app and its effect on cultural heritage, artificial intelligence, community organizing, and digital censorship. In Revolutionary Algorithms, Torey Akers approaches TikTok with a deep understanding of the app, as both a prolific creator and consumer of its content. In these essays, she interrogates how the TikTok ban and the multiple genocides happening around the world are deeply intertwined; how the app can empower creators, amplify social movements, and document abuses of power. She addresses the good, bad, and sometimes uncanny parts of maneuvering and communicating in a digital space. As a new era of social media looms, Akers makes the case for techno-progressivism, looking toward a future where TikTok continues to connect, inspire, and create space for more intersectionality, equity, and joy.
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Algorithms, Blockchain & Cryptocurrency - Gavin Browning, Richard Whittle
The convergence of Algorithms, Blockchain and Cryptocurrency (ABC) has the potential to fundamentally disrupt the current world of work. This book investigates the effects of this on the worker, the organisation and the economy, by considering a future where the traditional power relationships between workers and firms no longer apply.
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The Cambridge Handbook of the Law of Algorithms
Featuring thirty-five chapters from US, EU, and Asian scholars, this volume explores how algorithms are not only challenging current law, but also the foundations of society itself. The book's interdisciplinary approach makes it a key resource for scholars of law, information and computer science, and engineering, as well as legislators.
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Ancient Algorithms - Katrine gaard Jensen
In Ancient Algorithms, Katrine Øgaard Jensen mistranslates, rewrites, and remixes her award-winning translations of Danish Ursula Andkjær Olsen’s poetry based on a series of self-imposed rules and rituals in collaboration with poets Sawako Nakayasu, Aditi Machado, CAConrad, Baba Badji, Paul Cunningham, and Ursula Andkjær Olsen herself. Envisioned as a shared debut, this collection of collaborative poems is equal parts exercise and exorcism, a haunting of literary influences that repositions translation as the very act of writing—exploring what it means for something to be an original, a translation, a poem.
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Algorithms for a New World - Alfio Quarteroni
Covid-19 has shown us the importance of mathematical and statistical models to interpret reality, provide forecasts, and explore future scenarios.Algorithms, artificial neural networks, and machine learning help us discover the opportunities and pitfalls of a world governed by mathematics and artificial intelligence.
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