Book : Dive Into Algorithms A Pythonic Adventure For The...

-Titulo Original : Dive Into Algorithms A Pythonic Adventure For The Intrepid Beginner

-Fabricante :

No Starch Press

-Descripcion Original:

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 trees * Measure the efficiency and speed of algorithms * Generate Voronoi diagrams for use in various geometric applications * Use algorithms to build a simple chatbot, win at board games, or solve sudoku puzzles * Write code for gradient ascent and descent algorithms that can find the maxima and minima of functions * Use simulated annealing to perform global optimization * Build a decision tree to predict happiness based on a persons characteristics Once 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. About the Author 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.