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Añadir al carritoPaperback. Condición: Acceptable. Connecting readers with great books since 1972. Used textbooks may not include companion materials such as access codes, etc. May have condition issues including wear and notes/highlighting. We ship orders daily and Customer Service is our top priority!
Librería: HPB-Red, Dallas, TX, Estados Unidos de America
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Añadir al carritoPaperback. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Librería: ThriftBooks-Dallas, Dallas, TX, Estados Unidos de America
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Añadir al carritoPaperback. Condición: Very Good. No Jacket. Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Librería: Bookmans, Tucson, AZ, Estados Unidos de America
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Añadir al carritopaperback. Condición: Good. , Satisfaction 100% guaranteed.
Idioma: Inglés
Publicado por Packt Publishing, Limited, 2020
ISBN 10: 1789801214 ISBN 13: 9781789801217
Librería: Better World Books: West, Reno, NV, Estados Unidos de America
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Añadir al carritoCondición: Good. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.
Librería: Maxwell's House of Books, La Mesa, CA, Estados Unidos de America
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Añadir al carritoSoft cover. Condición: Near Fine. A lovely, crisp, unmarked softcover in near fine condition; faint shelf wear.
Librería: WorldofBooks, Goring-By-Sea, WS, Reino Unido
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Añadir al carritoPaperback. Condición: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Idioma: Inglés
Publicado por Packt Publishing 6/12/2020, 2020
ISBN 10: 1789801214 ISBN 13: 9781789801217
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
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Añadir al carritoPaperback or Softback. Condición: New. 40 Algorithms Every Programmer Should Know: Hone your problem-solving skills by learning different algorithms and their implementation in Python. Book.
Librería: California Books, Miami, FL, Estados Unidos de America
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Packt Publishing 2020-06, 2020
ISBN 10: 1789801214 ISBN 13: 9781789801217
Librería: Chiron Media, Wallingford, Reino Unido
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Añadir al carritoPaperback. Condición: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
Idioma: Inglés
Publicado por Packt Publishing Limited, 2020
ISBN 10: 1789801214 ISBN 13: 9781789801217
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
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Librería: preigu, Osnabrück, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. 40 Algorithms Every Programmer Should Know | Hone your problem-solving skills by learning different algorithms and their implementation in Python | Imran Ahmad | Taschenbuch | Kartoniert / Broschiert | Englisch | 2020 | Packt Publishing | EAN 9781789801217 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 71,70
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 cryptographyKey FeaturesLearn the techniques you need to know to design algorithms for solving complex problemsBecome familiar with neural networks and deep learning techniquesExplore different types of algorithms and choose the right data structures for their optimal implementationBook DescriptionAlgorithms 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.You'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.By the end of this book, you'll have become adept at solving real-world computational problems by using a wide range of algorithms.What you will learnExplore existing data structures and algorithms found in Python librariesImplement graph algorithms for fraud detection using network analysisWork with machine learning algorithms to cluster similar tweets and process Twitter data in real timePredict the weather using supervised learning algorithmsUse neural networks for object detectionCreate a recommendation engine that suggests relevant movies to subscribersImplement foolproof security using symmetric and asymmetric encryption on Google Cloud Platform (GCP)Who this book is forThis 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.