IMRAN AHMAD
U$ 67,62 60,61 €
U$ 67,62 60,61 €
u003cpu003eLearn 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 cryptographyu003c/pu003eu003cpu003eKey Featuresu003c/pu003e u003culu003e u003cliu003eLearn the techniques you need to know to design algorithms for solving complex problemsu003c/liu003e u003cliu003eBecome familiar with neural networks and deep learning techniquesu003c/liu003e u003cliu003eExplore different types of algorithms and choose the right data structures for their optimal implementationu003c/liu003e u003c/ulu003e u003cpu003eBook Descriptionu003c/pu003e u003cpu003eAlgorithms 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.u003c/pu003e u003cpu003eYou'll 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, you'll 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, you'll become well versed in techniques that enable parallel processing, giving you the ability to use these algorithms for compute-intensive tasks.u003c/pu003e u003cpu003eBy the end of this book, you'll have become adept at solving real-world computational problems by using a wide range of algorithms.u003c/pu003e u003cpu003eWhat you will learnu003c/pu003e u003culu003e u003cliu003eExplore existing data structures and algorithms found in Python librariesu003c/liu003e u003cliu003eImplement graph algorithms for fraud detection using network analysisu003c/liu003e u003cliu003eWork with machine learning algorithms to cluster similar tweets and process Twitter data in real timeu003c/liu003e u003cliu003ePredict the weather using supervised learning algorithmsu003c/liu003e u003cliu003eUse neural networks for object detectionu003c/liu003e u003cliu003eCreate a recommendation engine that suggests relevant movies to subscribersu003c/liu003e u003cliu003eImplement foolproof security using symmetric and asymmetric encryption on Google Cloud Platform (GCP)u003c/liu003e u003c/ulu003e u003cpu003eWho this book is foru003c/pu003e u003cpu003eThis book is for the serious programmer! Whether you are an experienced programmer looking to gain a deeper understanding of the math behind the algorithms or have limited programming or data science knowledge and want to learn more about how you can take advantage of these battle-tested algorithms to improve the way you design and write code, you'll find this book useful. Experience with Python programming is a must, although knowledge of data science is helpful but not necessary.u003c/pu003e
