If you are a programmer or developer looking to improve your algorithmic skills, “50 Algorithms Every Programmer Should Know” is an essential resource. This book provides practical guidance on how to select and implement algorithms to solve real-world problems, as well as insights into the math and logic behind these algorithms.

The book begins with an introduction to algorithms and covers various algorithm design techniques. It then moves on to the implementation of different types of algorithms using practical examples to illustrate the concepts. Readers will learn about linear programming, page ranking, and graphs, as well as machine learning algorithms, providing a deeper understanding of the math and logic behind them.

Furthermore, the book explores modern deep learning techniques such as Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and Recurrent Neural Networks (RNNs), shedding light on their applications. It also delves into Generative AI and Large Language Models (LLMs) like ChatGPT, unraveling the algorithms, methodologies, and architectures that underlie their implementation.

One of the strengths of this book is its inclusion of case studies that demonstrate how these algorithms can be applied optimally in real-world scenarios. Additionally, a focus on deep learning algorithms covers different types of models and their practical use. The book also equips readers with techniques for parallel processing, enabling them to use algorithms for compute-intensive tasks.

By completing this book, readers will gain expertise in solving real-world computational problems using a wide range of algorithms including modern deep learning techniques. If you’re interested in expanding your algorithmic knowledge, you can purchase your copy at .