Description: Dive Into Algorithms by Bradford Tuckfield A fun yet thorough Python-based introduction to algorithms. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description Dive Into Algorithms is a wide-ranging, Pythonic tour of many of the worlds most interesting algorithms. With little more than a bit of computer programming experience and basic high-school math, youll 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. Youll 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.Youll explore algorithms that are useful in pure mathematics and learn how mathematical ideas can improve algorithms. Youll learn about an algorithm for generating continued fractions, one for quick calculations of square roots, and another for generating seemingly random sets of numbers.Youll also learn how to-Use algorithms to debug code, maximize revenue, schedule tasks, and create decision treesMeasure the efficiency and speed of algorithmsGenerate Voronoi diagrams for use in various geometric applicationsUse algorithms to build a simple chatbot, win at board games, or solve sudoku puzzlesWrite code for gradient ascent and descent algorithms that can find the maxima and minima of functionsUse simulated annealing to perform global optimizationBuild a decision tree to predict happiness based on a persons characteristicsOnce youve finished this book youll 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 todays most powerful algorithms.Dive Into Algorithms is a broad introduction to algorithms using the Python Programming Language.Dive Into Algorithms is a wide-ranging, Pythonic tour of many of the worlds most interesting algorithms. With little more than a bit of computer programming experience and basic high-school math, youll 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. Youll 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.Youll explore algorithms that are useful in pure mathematics and learn how mathematical ideas can improve algorithms. Youll learn about an algorithm for generating continued fractions, one for quick calculations of square roots, and another for generating seemingly random sets of numbers.Youll also learn how to-Use algorithms to debug code, maximize revenue, schedule tasks, and create decision treesMeasure the efficiency and speed of algorithmsGenerate Voronoi diagrams for use in various geometric applicationsUse algorithms to build a simple chatbot, win at board games, or solve sudoku puzzlesWrite code for gradient ascent and descent algorithms that can find the maxima and minima of functionsUse simulated annealing to perform global optimizationBuild a decision tree to predict happiness based on a persons characteristicsOnce youve finished this book youll 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 todays most powerful algorithms. Author Biography Bradford Tuckfield, 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. Table of Contents IntroductionChapter 1: Problem-Solving with AlgorithmsChapter 2: Algorithms in HistoryChapter 3: Maximizing and MinimizingChapter 4: Sorting and Searching Chapter 5: Pure MathChapter 6: Advanced OptimizationChapter 7: GeometryChapter 8: LanguageChapter 9: Machine LearningChapter 10: Artificial IntelligenceChapter 11: Forging AheadIndex Review "This book is based entirely on learning math, but it does a really good job of changing how its 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."—Ian Mizer, Cloud Support Engineer"An excellent self-discovery approach to learning algorithms."—Ira Laefsky, Vine Voice"A clear and concise introduction to algorithmic thinking. This is especially important in todays 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."—Brian G. McEnery, Amazon Reviewer"[This] book has been great about teaching you what you need to know to do each section! Id recommend giving it a shot!"—@ViolanteCode Promotional A fun yet thorough Python-based introduction to algorithms, which are sets of instructions that allow a computer to solve problems. The book tackles classic algorithms like searching, sorting, and optimization as well as those used in fields like machine learning and artificial intelligence. Promotional "Headline" A fun yet thorough Python-based introduction to algorithms, which are sets of instructions that allow a computer to solve problems. The book tackles classic algorithms like searching, sorting, and optimization as well as those used in fields like machine learning and artificial intelligence. Description for Sales People Tackles classic algorithms like searching, sorting and optimisation. Also looks at algorithms as used in machine learning and artificial intelligence. Readers wont need more than basic maths skills to understand an algorithm and the python code needed for implimentation Algorithms and their Python code are introduced line-by-line. Details ISBN1718500688 Author Bradford Tuckfield Language English ISBN-10 1718500688 ISBN-13 9781718500686 Format Paperback DEWEY 005.13 Short Title Dive into Algorithms Subtitle A Pythonic Adventure for the Intrepid Beginner Imprint No Starch Press,US Place of Publication San Francisco Country of Publication United States AU Release Date 2021-01-25 NZ Release Date 2021-01-25 US Release Date 2021-01-25 Year 2021 Publication Date 2021-01-25 UK Release Date 2021-01-25 Narrator Jonathan Glover Translator Penny Hueston Birth 1954 Death 1988 Affiliation Associate Professor of Psychiatry, Bipolar Clinic and Reseach Program, Massachusetts General Hospital Position Associate Professor of Psychiatry Qualifications U.S.M.C Publisher No Starch Press,US Audience General Pages 270 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:141763966;
Price: 58.37 AUD
Location: Melbourne
End Time: 2024-11-09T03:33:28.000Z
Shipping Cost: 0 AUD
Product Images
Item Specifics
Restocking fee: No
Return shipping will be paid by: Buyer
Returns Accepted: Returns Accepted
Item must be returned within: 30 Days
ISBN-13: 9781718500686
Book Title: Dive Into Algorithms
Item Height: 235 mm
Item Width: 177 mm
Author: Bradford Tuckfield
Publication Name: Dive Into Algorithms: a Pythonic Adventure for the Intrepid Beginner
Format: Paperback
Language: English
Publisher: No Starch Press,Us
Subject: Computer Science
Publication Year: 2021
Type: Textbook
Number of Pages: 270 Pages