{"product_id":"dive-into-algorithms-isbn-9781718500686","title":"Dive Into Algorithms","description":"\u003cb\u003e\u003ci\u003eDive Into Algorithms \u003c\/i\u003eis a broad introduction to algorithms using the Python Programming Language.\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003ci\u003eDive Into Algorithms\u003c\/i\u003e is a wide-ranging, Pythonic tour of many of the world's most interesting algorithms. With little more than a bit of computer programming experience and basic high-school math, you'll explore standard computer science algorithms for searching, sorting, and optimization; human-based algorithms that help us determine how to catch a baseball or eat the right amount at a buffet; and advanced algorithms like ones used in machine learning and artificial intelligence. You'll even explore how ancient Egyptians and Russian peasants used algorithms to multiply numbers, how the ancient Greeks used them to find greatest common divisors, and how Japanese scholars in the age of samurai designed algorithms capable of generating magic squares.\u003cbr\u003e\u003cbr\u003eYou'll explore algorithms that are useful in pure mathematics and learn how mathematical ideas can improve algorithms. You'll learn about an algorithm for generating continued fractions, one for quick calculations of square roots, and another for generating seemingly random sets of numbers.\u003cbr\u003e\u003cbr\u003eYou'll also learn how to:\u003cbr\u003e\u003cli\u003eUse algorithms to debug code, maximize revenue, schedule tasks, and create decision trees\u003c\/li\u003e\u003cli\u003eMeasure the efficiency and speed of algorithms\u003c\/li\u003e\u003cli\u003eGenerate Voronoi diagrams for use in various geometric applications\u003c\/li\u003e\u003cli\u003eUse algorithms to build a simple chatbot, win at board games, or solve sudoku puzzles\u003c\/li\u003e\u003cli\u003eWrite code for gradient ascent and descent algorithms that can find the maxima and minima of functions\u003c\/li\u003e\u003cli\u003eUse simulated annealing to perform global optimization\u003c\/li\u003e\u003cli\u003eBuild a decision tree to predict happiness based on a person's characteristics\u003c\/li\u003e\u003cbr\u003eOnce you've finished this book you'll understand how to code and implement important algorithms as well as how to measure and optimize their performance, all while learning the nitty-gritty details of today's most powerful algorithms.\u003cb\u003eIntroduction\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eChapter 1: \u003c\/b\u003eProblem-Solving with Algorithms\u003cbr\u003e\u003cb\u003eChapter 2: \u003c\/b\u003eAlgorithms in History\u003cbr\u003e\u003cb\u003eChapter 3: \u003c\/b\u003eMaximizing and Minimizing\u003cbr\u003e\u003cb\u003eChapter 4: \u003c\/b\u003eSorting and Searching \u003cbr\u003e\u003cb\u003eChapter 5: \u003c\/b\u003ePure Math\u003cbr\u003e\u003cb\u003eChapter 6: \u003c\/b\u003eAdvanced Optimization\u003cbr\u003e\u003cb\u003eChapter 7: \u003c\/b\u003eGeometry\u003cbr\u003e\u003cb\u003eChapter 8: \u003c\/b\u003eLanguage\u003cbr\u003e\u003cb\u003eChapter 9: \u003c\/b\u003eMachine Learning\u003cbr\u003e\u003cb\u003eChapter 10:\u003c\/b\u003e Artificial Intelligence\u003cbr\u003e\u003cb\u003eChapter 11: \u003c\/b\u003eForging Ahead\u003cbr\u003e\u003cbr\u003e\u003cb\u003eIndex\u003c\/b\u003e“This book is based entirely on learning math, but it does a really good job of changing how it’s learned. Instead of trying to give you a dry math lecture, this book will tell a story with each of its chapters. This story based education ties real world problems and solutions with the algorithms that this book is trying to teach.”\u003cbr\u003e\u003cb\u003e—Ian Mizer, Cloud Support Engineer\u003cbr\u003e\u003c\/b\u003e\u003cbr\u003e“An excellent self-discovery approach to learning algorithms.”\u003cbr\u003e\u003cb\u003e—Ira Laefsky, Vine Voice\u003cbr\u003e\u003c\/b\u003e\u003cbr\u003e“A clear and concise introduction to algorithmic thinking. This is especially important in today's world where resolving processes using computers is far more important than ever before. Python is not the main focus of the book, more like the algorithmic language using which a variety of topics are explored. Top marks for content and style.”\u003cbr\u003e\u003cb\u003e—Brian G. McEnery, Amazon Reviewer\u003cbr\u003e\u003c\/b\u003e\u003cbr\u003e“[This] book has been great about teaching you what you need to know to do each section! I'd recommend giving it a shot!”\u003cbr\u003e\u003cb\u003e—@ViolanteCode\u003cbr\u003e\u003c\/b\u003e\u003cb\u003eBradford Tuckfield\u003c\/b\u003e, PhD, is the founder of Kmbara, which solves problems using machine learning, AI, chatbots, and other data-based innovations. The author of Applied Unsupervised Learning with R, his work has also been featured in top scholarly journals, and his essays on culture and public policy can be seen in Quillette, National Affairs, and other prestigious outlets.","brand":"No Starch Press","offers":[{"title":"Default Title","offer_id":46300528836837,"sku":"NP9781718500686","price":39.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781718500686.jpg?v=1767725259","url":"https:\/\/k12savings.com\/es\/products\/dive-into-algorithms-isbn-9781718500686","provider":"K12savings","version":"1.0","type":"link"}