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, youâ ™ll actually enjoy learning these important algorithms.

Objev podobné jako Grokking Algorithms - Aditya Bhargava

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. Donâ ™t worry if you arenâ ™t a calculus wunderkind; youâ ™ll need only the algebra you picked up in math class. â ¢ Use cases for different AI algorithms â ¢ How to encode problems and solutions using data structures â ¢ Intelligent search for game playing â ¢ Ant colony algorithms for path finding â ¢ 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

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 approach is behind everything from recommendation systems to self-driving cars, and is transforming industries from finance to art. Luis G. Serrano has worked as the Head of Content for Artificial Intelligence at Udacity and as a Machine Learning Engineer at Google, where he worked on the YouTube recommendations system. He holds a PhD in mathematics from the University of Michigan, a Bachelor and Masters from the University of Waterloo, and worked as a postdoctoral researcher at the University of Quebec at Montreal. He shares his machine learning expertise on a YouTube channel with over 2 million views and 35 thousand subscribers, and is a frequent speaker at artificial intelligence and data science conferences.

Objev podobné jako Grokking Machine Learning - Luis Serrano

Distributed across servers, difficult to test, and resistant to modificationâ ”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 theyâ ™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 thatâ ™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, youâ ™ll learn techniques and, more importantly, a mindset that will help you tackle common problems that arise when software gets complex. Veteran functional programmer Eric Normand guides you to a crystal-clear understanding of why certain features of modern software are so prone to complexity and introduces you to the functional techniques you can use to simplify these systems so that theyâ ™re easier to read, test, and debug. Through hands-on examples, exercises, and numerous self-assessments, youâ ™ll learn to organize your code for maximum reusability and internalize methods to keep unwanted complexity out of your codebase. Regardless of the language youâ ™re using, the ways of thinking in this book will help recognize problematic code and tame even the most complex software. what s inside Apply functional programming principles to reduce codebase complexity Work with data transformation pipelines for code thatâ ™s easier to test and reuse Tools for modeling time to simplify asynchrony 60 exercises and 100 questions to test your knowledge about the readerFor experienced programmers. Examples are in JavaScript. about the author Eric Normand has been a functional programmer since 2001 and has been teaching functional programming online and in person since 2007. Visit LispCast.com to see more of his credentials.

Objev podobné jako Grokking Simplicity - Eric Normand

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

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.

Objev podobné jako Aditi and the Thames Dragon - Suniti Namjoshi

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

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 engineer. This vital knowledge lets you modify algorithms to your specific needs, understand the trade-offs when picking an algorithm for a project, and better interpret and explain your results to your stakeholders. This unique guide will take you from relying on one-size-fits-all ML libraries to developing your own algorithms to solve your business needs.

Objev podobné jako Machine Learning Algorithms in Depth - Vadim Smolyakov

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 pen and paper, and how from such a humble foundation rise all their spectacular achievements.

Objev podobné jako Algorithms - Panos Louridas

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

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. â ¢ Foundational reinforcement learning concepts and methods â ¢ The most popular deep reinforcement learning agents solving high-dimensional environments â ¢ 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 maximum long-term return.

Objev podobné jako Grokking Deep Reinforcement Learning - Miguel Morales

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

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

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 změn najednou, protože více změn není udržitelných), přijetí faktu, že multitasking je mýtus (náš mozek je uzpůsoben k tomu, aby dělal v jednu chvíli jen jednu věc) nebo osvojení její metody Bookend (vytvoření hranic, které respektují potřebu našeho mozku škatulkovat).Těchto pět změn v myšlení spolu s patnácti osvědčenými technikami se pro vás stanou návodem, jak změnit svůj vztah ke stresu, uvést svou biologii zpět do rovnováhy a cítit se klidněji hned teď.

Objev podobné jako 5 resetů - 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, result­ing 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 (making no more than two changes at a time because doing more is unsustainable), accepting that multitasking is a myth (our brains are wired to do one thing at a time!), and adopting her Bookend Method (creating boundaries).The five mindset shifts, along with fifteen proven techniques, offer you a road map to change your relationship with stress, bring your biology back into balance, and feel calmer right now.

Objev podobné jako The 5 Resets - Aditi Nerurkar

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

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.

Objev podobné jako Algorithms to Live By: The Computer Science of Human Decisions (0007547994)

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

Objev podobné jako Cambridge IGCSE and O Level Computer Science Algorithms, Programming and Logic Workbook - David Watson, Helen Williams

How to put democracy at the heart of AI governanceArtificial intelligence and machine learning are reshaping our world. Police forces use them to decide where to send police officers, judges to decide whom to release on bail, welfare agencies to decide which children are at risk of abuse, and Facebook and Google to rank content and distribute ads. In these spheres, and many others, powerful prediction tools are changing how decisions are made, narrowing opportunities for the exercise of judgment, empathy, and creativity. In Algorithms for the People, Josh Simons flips the narrative about how we govern these technologies. Instead of examining the impact of technology on democracy, he explores how to put democracy at the heart of AI governance. Drawing on his experience as a research fellow at Harvard University, a visiting research scientist on Facebookâ ™s Responsible AI team, and a policy advisor to the UKâ ™s Labour Party, Simons gets under the hood of predictive technologies, offering an accessible account of how they work, why they matter, and how to regulate the institutions that build and use them. He argues that prediction is political: human choices about how to design and use predictive tools shape their effects. Approaching predictive technologies through the lens of political theory casts new light on how democracies should govern political choices made outside the sphere of representative politics. Showing the connection between technology regulation and democratic reform, Simons argues that we must go beyond conventional theorizing of AI ethics to wrestle with fundamental moral and political questions about how the governance of technology can support the flourishing of democracy.

Objev podobné jako Algorithms for the People - Josh Simons

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.

Objev podobné jako Revolutionary Algorithms - Torey Akers