Algorithms

NEW YORK TIMES AND SUNDAY TIMES BUSINESS BESTSELLER SHORTLISTED FOR THE FT AND MCKINSEY BUSINESS BOOK OF THE YEAR AWARD 2019'Reads more like a delicious page-turning novel...Put it on your holiday gift list for your favourite hedge-fund honcho'...

_______________'One of the best books yet written on data and algorithms. . .deserves a place on the bestseller charts.' (The Times) You are accused of a crime. Who would you rather determined your fate - a human or an algorithm?An algorithm is more...

'A manual for the 21st-century citizen... accessible, refreshingly critical, relevant and urgent' - Financial Times 'Fascinating and deeply disturbing' - Yuval Noah Harari, Guardian Books of the Year In this New York Times bestseller, Cathy O'Neil, one...

'Pedro Domingos demystifies machine learning and shows how wondrous and exciting the future will be' Walter Isaacson, author of Steve JobsSociety is changing, one learning algorithm at a time, from search engines to online dating, personalized medicine...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262046305Author Thomas H. CormenFormat HardbackPage Count 1332Imprint MIT PressPublisher MIT Press Ltd

Nine revolutionary algorithms that power our computers and smartphonesEvery day, we use our computers to perform remarkable feats. A simple web search picks out a handful of relevant needles from the world's biggest haystack. Uploading a photo to...

Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they're also a good way to dive into the discipline without actually understanding data science. With this updated second edition, you'll learn how many of...

A guide to the increasingly popular trend of transforming data into beautiful textile art. This stylish and fascinating book from up-and-coming textile art star Jordan Cunliffe shows how raw data, maps and personal experience can be distilled into...

Shortlisted for the Women's Prize for Non-Fiction 2024AI is changing what it means to be human. This is the unrivalled investigation into the impact of AI on how we live now.'The intimate investigation of AI that we've been waiting for, and it arrives...

The real challenge of programming isn't learning a language's syntax it's learning to creatively solve problems so you can build something great. In this one-of-a-kind text, author V. Anton Spraul breaks down the ways that programmers solve problems and...

The latest edition of a classic text on concurrency and distributed programming - from a winner of the ACM/SIGCSE Award for Outstanding Contribution to Computer Science Education.The latest edition of a classic text on concurrency and distributed...

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...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780997316001Author Wladston Ferreira FilhoFormat HardbackPage Count 186Imprint Code Energy LLCPublisher Code Energy LLCWeight(grams) 440gDimensions(mm)...

Numerical Methods for Ordinary Differential Equations is a self-contained introduction to a fundamental field of numerical analysis and scientific computation. Written for undergraduate students with a mathematical background, this book focuses on the...

If you thought that data structures and algorithms were all just theory, you're missing out on what they can do for your code. Learn to use Big O Notation to make your code run faster by orders of magnitude. Choose from data structures such as hash...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262037662Author Wan FokkinkFormat HardbackPage Count 272Imprint MIT PressPublisher MIT Press LtdDimensions(mm) 229mm * 203mm * 13mm

Python makes machine learning easy for beginners and experienced developers With computing power increasing exponentially and costs decreasing at the same time, there is no better time to learn machine learning using Python. Machine learning tasks that...

Harness the power of Python libraries to transform freely available financial market data into algorithmic trading strategies and deploy them into a live trading environment Key Features Follow practical Python recipes to acquire, visualize, and...

A hands-on roadmap to using Python for artificial intelligence programming In Practical Artificial Intelligence Programming with Python: From Zero to Hero, veteran educator and photophysicist Dr. Perry Xiao delivers a thorough introduction to one of the...

Knowing how to design algorithms will take you from being a good programmer to a great programmer. This completely revised second edition teaches you how to design your own rocket-fast, right-for-the-task algorithms-minus the proofs and complex math...

Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, you'll build an example ML-driven application from initial idea to deployed product. Data scientists,...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780997316025Author Wladston Ferreira FilhoFormat PaperbackPage Count 186Imprint Code Energy LLCPublisher Code Energy LLCWeight(grams) 295gDimensions(mm)...

An insider’s guide to the invisible new economy that is reshaping our lives. Welcome to the economy of algorithms. It’s here and it’s growing. In the past few years, we have been flooded with examples of impressive technology. Algorithms have been around...

Buying groceries, tracking our health, finding a date: whatever we want to do, odds are that we can now do it online. But few of us ask how all these digital products are designed or why. It's time we changed that. Many of the services we rely on are...

Monte Carlo methods are among the most used and useful computational tools available today, providing efficient and practical algorithims to solve a wide range of scientific and engineering problems. Applications covered in this book include...

Are all film stars linked to Kevin Bacon? Why do the stock markets rise and fall sharply on the strength of a vague rumour? How does gossip spread so quickly? Are we all related through six degrees of separation? There is a growing awareness of the...

Computation, itself a form of calculation, incorporates steps that include arithmetical and non-arithmetical (logical) steps following a specific set of rules (an algorithm). This uniquely accessible textbook introduces students using a very distinctive...

Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that's so clouded in hype?...

Dive into algo trading with step-by-step tutorials and expert insight Machine Trading is a practical guide to building your algorithmic trading business. Written by a recognized trader with major institution expertise, this book provides step-by-step...

Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you...

The Self-Taught Computer Scientist is Cory Althoff's follow-up to The Self-Taught Programmer, which inspired hundreds of thousands of professionals to learn how to program outside of school. In The Self-Taught Programmer, Cory showed readers why you...

You've decided to tackle machine learning - because you're job hunting, embarking on a new project, or just think self-driving cars are cool. But where to start? It's easy to be intimidated, even as a software developer. The good news is that it doesn't...

The P-NP problem is the most important open problem in computer science, if not all of mathematics. Simply stated, it asks whether every problem whose solution can be quickly checked by computer can also be quickly solved by computer. The Golden Ticket...

"My absolute favorite for this kind of interview preparation is Steven Skiena's The Algorithm Design Manual. More than any other book it helped me understand just how astonishingly commonplace ... graph problems are -- they should be part of every...

Your secret weapon to understanding-and using!-one of the most powerful influences in the world today From your Facebook News Feed to your most recent insurance premiums-even making toast!-algorithms play a role in virtually everything that happens in...

More than meets the eye - the science of how we see and the secrets it reveals about how the brain works. Spotting a familiar face in a crowd is so easy, you take it for granted. But how you do it is one of science's great mysteries. Vision is...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780985930806Author Daniel ShiffmanFormat PaperbackPage Count 520Imprint Nature of CodePublisher Nature of CodeWeight(grams) 885gDimensions(mm) 235mm * 191mm...

Based on interdisciplinary research into "Directional Change", a new data-driven approach to financial data analysis, Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading applies machine learning to...

Random Number Generators, Principles and Practices has been written for programmers, hardware engineers, and sophisticated hobbyists interested in understanding random numbers generators and gaining the tools necessary to work with random number...

Build applications with advanced movement, text operations, and IDE capabilities in Vim 9.0 and Neovim Key Features Develop proficiency in Vim and Vimscript for efficient text editing Integrate Vim into your daily development workflow and...