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Can I read 50 Algorithms Every Programmer Should Know: An unbeatable arsenal of algorithmic solutions for real-world problems on EtoBox?

50 Algorithms Every Programmer Should Know: An unbeatable arsenal of algorithmic solutions for real-world problems by Imran Ahmad is a nonfiction available to read on EtoBox.

What is 50 Algorithms Every Programmer Should Know: An unbeatable arsenal of algorithmic solutions for real-world problems about?

Solve classic computer science problems from fundamental algorithms, such as sorting and searching, to modern algorithms in machine learning and cryptography Key Features Discussion on Advanced Deep Learning Architectures New chapters on sequential models explaining modern deep learning techniques, like LSTMs, GRUs, and RNNs and Large Language Models (LLMs) Explore newer topics, such as how to handle hidden bias in data and the explainability of the algorithms Get to grips with different programming algorithms and choose the right data structures for their optimal implementation Book Description The ability to use algorithms to solve real-world problems is a must-have skill for any developer or programmer. This book will help you not only to develop the skills to select and use an algorithm to tackle problems in the real world 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, with the help of practical examples. As you advance, you'll learn about linear programming, page ranking, and graphs, and will then w

Who reads 50 Algorithms Every Programmer Should Know: An unbeatable arsenal of algorithmic solutions for real-world problems?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Imran Ahmad
Publisher
Packt Publishing, Limited; Packt Publishing - ebooks Account
Published
2023
Language
EN
ISBN
9781803247762
Category
nonfiction
Subjects
Computer Science, Language Learning, Mathematics

Other editions & translations

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