Grokking Algorithms

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Download or read online Grokking Algorithms PDF book by Aditya Bhargava in ePUB, PDF or Kindle eBooks. Published by Simon and Schuster in 12 May 2016 the book become immediate popular and critical acclaim in Computers books with total hardcover page 256. Click Download Book button to get book file. Read some info about this book below.

  • Author : Aditya Bhargava
  • Publisher : Simon and Schuster
  • Release : 12 May 2016
  • ISBN : 9781638353348
  • Page : 256 pages
  • Language : English
  • Total View : 9942 Views
  • File Size : 48,6 Mb

Grokking Algorithms Book PDF summary

Summary Grokking Algorithms is a fully illustrated, friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. Learning about algorithms doesn't have to be boring! Get a sneak peek at the fun, illustrated, and friendly examples you'll find in Grokking Algorithms on Manning Publications' YouTube channel. Continue your journey into the world of algorithms with Algorithms in Motion, a practical, hands-on video course available exclusively at Manning.com (www.manning.com/livevideo/algorithms-​in-motion). Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology An algorithm is nothing more than a step-by-step procedure for solving a problem. The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. If you want to understand them but refuse to slog through dense multipage proofs, this is the book for you. This fully illustrated and engaging guide makes it easy to learn how to use the most important algorithms effectively in your own programs. About the Book Grokking Algorithms is a friendly take on this core computer science topic. In it, you'll learn how to apply common algorithms to the practical programming problems you face every day. You'll start with tasks like sorting and searching. As you build up your skills, you'll tackle more complex problems like data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. By the end of this book, you will have mastered widely applicable algorithms as well as how and when to use them. What's Inside Covers search, sort, and graph algorithms Over 400 pictures with detailed walkthroughs Performance trade-offs between algorithms Python-based code samples About the Reader This easy-to-read, picture-heavy introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. About the Author Aditya Bhargava is a Software Engineer with a dual background in Computer Science and Fine Arts. He blogs on programming at adit.io. Table of Contents Introduction to algorithms Selection sort Recursion Quicksort Hash tables Breadth-first search Dijkstra's algorithm Greedy algorithms Dynamic programming K-nearest neighbors

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Grokking Algorithms PDF

Grokking Algorithms
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  • File Size : 49,8 Mb
DOWNLOAD BOOKGrokking Algorithms

Grokking Algorithms PDF book is popular Computers book written by Aditya Bhargava. The book was released by Simon and Schuster in 12 May 2016 with total hardcover pages 256. Summary Grokking Algorithms is a fully illustrated, friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. Learning about algorithms doesn't have to be boring! Get a

Grokking Algorithms PDF

Grokking Algorithms
  • Total View : 212
  • File Size : 48,8 Mb
DOWNLOAD BOOKGrokking Algorithms

Grokking Algorithms PDF book is popular Computers book written by Aditya Y. Bhargava. The book was released by Manning Publications in 25 May 2016 with total hardcover pages 256. Summary Grokking Algorithms is a fully illustrated, friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. Learning about algorithms doesn't have to be boring! Get a

Grokking Algorithms PDF

Grokking Algorithms
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DOWNLOAD BOOKGrokking Algorithms

Grokking Algorithms PDF book is popular Computers book written by Aditya Bhargava. The book was released by Unknown in 07 October 2022 with total hardcover pages 256.

Grokking Artificial Intelligence Algorithms PDF

Grokking Artificial Intelligence Algorithms
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DOWNLOAD BOOKGrokking Artificial Intelligence Algorithms

Grokking Artificial Intelligence Algorithms PDF book is popular Computers book written by Rishal Hurbans. The book was released by Simon and Schuster in 20 July 2020 with total hardcover pages 256. "From start to finish, the best book to help you learn AI algorithms and recall why and how you use them." - Linda Ristevski, York Region District School Board ”This book takes an impossibly broad area of computer science and communicates what working developers need to understand in a clear and thorough way.” - David Jacobs, Product Advance Local Key Features Master the core algorithms of deep learning and AI Build an intuitive understanding of AI problems and solutions Written

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Grokking Machine Learning
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Grokking Machine Learning PDF book is popular Computers book written by Luis Serrano. The book was released by Simon and Schuster in 14 December 2021 with total hardcover pages 256. Grokking Machine Learning presents machine learning algorithms and techniques in a way that anyone can understand. This book skips the confused academic jargon and offers clear explanations that require only basic algebra. As you go, you'll build interesting projects with Python, including models for spam detection and image recognition. You'll also pick up practical skills for cleaning and preparing data.

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Grokking Deep Learning
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Grokking Deep Learning PDF book is popular Computers book written by Andrew W. Trask. The book was released by Simon and Schuster in 23 January 2019 with total hardcover pages 256. Summary Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Deep learning, a branch of artificial intelligence, teaches computers to learn by using neural networks, technology inspired

Computer Science Distilled PDF

Computer Science Distilled
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Computer Science Distilled PDF book is popular Computers book written by Wladston Ferreira Filho. The book was released by Unknown in 17 January 2017 with total hardcover pages 256. A foolproof walkthrough of must-know computer science concepts. A fast guide for those who don't need the academic formality, it goes straight to what differentiates pros from amateurs. First introducing discrete mathematics, then exposing the most common algorithm and data structure design elements, and finally the working principles of computers and programming languages, the book is indicated to all programmers.

Grokking Deep Reinforcement Learning PDF

Grokking Deep Reinforcement Learning
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Grokking Deep Reinforcement Learning PDF book is popular Computers book written by Miguel Morales. The book was released by Manning Publications in 10 November 2020 with total hardcover pages 256. Grokking Deep Reinforcement Learning uses engaging exercises to teach you how to build deep learning systems. This book combines annotated Python code with intuitive explanations to explore DRL techniques. You’ll see how algorithms function and learn to develop your own DRL agents using evaluative feedback. Summary 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