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Imran Ahmad
40 Algorithms Every Programmer Should Know
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133674840 Algorithms Every Programmer Should Knowhttps://www.gandhi.com.mx/40-algorithms-every-programmer-should-know/phttps://gandhi.vtexassets.com/arquivos/ids/949082/9e0cf6de-41cc-4b7d-8f7d-daab8db664cd.jpg?v=638337053424330000739821MXNPackt PublishingInStock/Ebooks/132383040 Algorithms Every Programmer Should Know739821https://www.gandhi.com.mx/40-algorithms-every-programmer-should-know/phttps://gandhi.vtexassets.com/arquivos/ids/949082/9e0cf6de-41cc-4b7d-8f7d-daab8db664cd.jpg?v=638337053424330000InStockMXN99999DIEbook20209781789809862_W3siaWQiOiJmZTY3NzI4MS0xZGQ0LTRjNTQtOWIzOS04NGVhMWVlN2QzN2IiLCJsaXN0UHJpY2UiOjgyMSwiZGlzY291bnQiOjgyLCJzZWxsaW5nUHJpY2UiOjczOSwiaW5jbHVkZXNUYXgiOnRydWUsInByaWNlVHlwZSI6Ildob2xlc2FsZSIsImN1cnJlbmN5IjoiTVhOIiwiZnJvbSI6IjIwMjQtMDQtMDhUMTY6MDA6MDBaIiwicmVnaW9uIjoiTVgiLCJpc1ByZW9yZGVyIjpmYWxzZX1d9781789809862_<p><strong>Learn algorithms for solving classic computer science problems with this concise guide covering everything from fundamental algorithms, such as sorting and searching, to modern algorithms used in machine learning and cryptography</strong></p><h4>Key Features</h4><ul><li>Learn the techniques you need to know to design algorithms for solving complex problems</li><li>Become familiar with neural networks and deep learning techniques</li><li>Explore different types of algorithms and choose the right data structures for their optimal implementation</li></ul><h4>Book Description</h4><p>Algorithms have always played an important role in both the science and practice of computing. Beyond traditional computing, the ability to use algorithms to solve real-world problems is an important skill that any developer or programmer must have. This book will help you not only to develop the skills to select and use an algorithm to solve real-world problems but also to understand how it works.</p><p>Youll start with an introduction to algorithms and discover various algorithm design techniques, before exploring how to implement different types of algorithms, such as searching and sorting, with the help of practical examples. As you advance to a more complex set of algorithms, youll learn about linear programming, page ranking, and graphs, and even work with machine learning algorithms, understanding the math and logic behind them. Further on, case studies such as weather prediction, tweet clustering, and movie recommendation engines will show you how to apply these algorithms optimally. Finally, youll become well versed in techniques that enable parallel processing, giving you the ability to use these algorithms for compute-intensive tasks.</p><p>By the end of this book, youll have become adept at solving real-world computational problems by using a wide range of algorithms.</p><h4>What you will learn</h4><ul><li>Explore existing data structures and algorithms found in Python libraries</li><li>Implement graph algorithms for fraud detection using network analysis</li><li>Work with machine learning algorithms to cluster similar tweets and process Twitter data in real time</li><li>Predict the weather using supervised learning algorithms</li><li>Use neural networks for object detection</li><li>Create a recommendation engine that suggests relevant movies to subscribers</li><li>Implement foolproof security using symmetric and asymmetric encryption on Google Cloud Platform (GCP)</li></ul><h4>Who this book is for</h4><p>This book is for programmers or developers who want to understand the use of algorithms for problem-solving and writing efficient code. Whether you are a beginner looking to learn the most commonly used algorithms in a clear and concise way or an experienced programmer looking to explore cutting-edge algorithms in data science, machine learning, and cryptography, youll find this book useful. Although Python programming experience is a must, knowledge of data science will be helpful but not necessary.</p>(*_*)9781789809862_<p><b>Learn algorithms for solving classic computer science problems with this concise guide covering everything from fundamental algorithms, such as sorting and searching, to modern algorithms used in machine learning and cryptography</b></p><h2>Key Features</h2><ul><li>Learn the techniques you need to know to design algorithms for solving complex problems</li><li>Become familiar with neural networks and deep learning techniques</li><li>Explore different types of algorithms and choose the right data structures for their optimal implementation</li></ul><h2>Book Description</h2>Algorithms have always played an important role in both the science and practice of computing. Beyond traditional computing, the ability to use algorithms to solve real-world problems is an important skill that any developer or programmer must have. This book will help you not only to develop the skills to select and use an algorithm to solve real-world problems but also to understand how it works. Youll start with an introduction to algorithms and discover various algorithm design techniques, before exploring how to implement different types of algorithms, such as searching and sorting, with the help of practical examples. As you advance to a more complex set of algorithms, youll learn about linear programming, page ranking, and graphs, and even work with machine learning algorithms, understanding the math and logic behind them. Further on, case studies such as weather prediction, tweet clustering, and movie recommendation engines will show you how to apply these algorithms optimally. Finally, youll become well versed in techniques that enable parallel processing, giving you the ability to use these algorithms for compute-intensive tasks. By the end of this book, youll have become adept at solving real-world computational problems by using a wide range of algorithms.<h2>What you will learn</h2><ul><li>Explore existing data structures and algorithms found in Python libraries</li><li>Implement graph algorithms for fraud detection using network analysis</li><li>Work with machine learning algorithms to cluster similar tweets and process Twitter data in real time</li><li>Predict the weather using supervised learning algorithms</li><li>Use neural networks for object detection</li><li>Create a recommendation engine that suggests relevant movies to subscribers</li><li>Implement foolproof security using symmetric and asymmetric encryption on Google Cloud Platform (GCP)</li></ul><h2>Who this book is for</h2><p>This book is for programmers or developers who want to understand the use of algorithms for problem-solving and writing efficient code. Whether you are a beginner looking to learn the most commonly used algorithms in a clear and concise way or an experienced programmer looking to explore cutting-edge algorithms in data science, machine learning, and cryptography, youll find this book useful. Although Python programming experience is a must, knowledge of data science will be helpful but not necessary.</p>...9781789809862_Packt Publishinglibro_electonico_b3d235cb-b28a-360e-9d91-c001bfac5911_9781789809862;9781789809862_9781789809862Imran AhmadInglésMéxicohttps://getbook.kobo.com/koboid-prod-public/packt-epub-215cb042-049a-4759-81ab-11473ead9ded.epub2020-06-12T00:00:00+00:00Packt Publishing