As a developer or programmer, the ability to use algorithms to solve real-world problems is essential. However, the challenge lies in navigating through a vast array of algorithms to find the most relevant ones. The book “50 Algorithms Every Programmer Should Know” aims to equip you with the skills to select and implement algorithms to address real-world problems.
The book begins with an introduction to algorithms and explores various algorithm design techniques. It provides practical examples to demonstrate how different types of algorithms can be implemented. The content covers linear programming, page ranking, and graphs, as well as machine learning algorithms and their underlying mathematical and logical principles.
Furthermore, the book delves into modern deep learning techniques, such as Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and Recurrent Neural Networks (RNNs), offering insights into their applications. It also explores the expansive realm of Generative AI and Large Language Models (LLMs), such as ChatGPT, unraveling the algorithms, methodologies, and architectures that drive their implementation. Case studies are included to demonstrate how these algorithms can be applied optimally.
The book also focuses on different types of deep learning models and their practical use, providing a comprehensive understanding of techniques that enable parallel processing. By the end of the book, readers will have the skills to tackle real-world computational problems using a wide range of algorithms, including modern deep learning techniques.
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