“50 Algorithms Every Programmer Should Know” is a must-read for developers and programmers looking to enhance their algorithmic skills. This book provides practical guidance on how to select and implement algorithms to solve real-world problems, as well as insights into the inner workings of these algorithms.
The book starts by providing an introduction to algorithms, covering various algorithm design techniques. It then moves on to the implementation of different types of algorithms, using real-world examples to illustrate the concepts. Readers will learn about linear programming, page ranking, graphs, and machine learning algorithms, gaining a deeper understanding of the math and logic behind them.
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). It explores their applications in detail and also sheds light on Generative AI and Large Language Models (LLMs) like ChatGPT, unraveling the algorithms, methodologies, and architectures that underlie their implementation.
The inclusion of case studies demonstrates how these algorithms can be applied optimally in real-world scenarios. The book also focuses on deep learning algorithms, covering different types of models and their practical use. Additionally, it equips readers with techniques for parallel processing, enabling them to use algorithms for compute-intensive tasks.
Upon completion of this book, readers will have gained expertise in effectively solving real-world computational problems using a wide range of algorithms including modern deep learning techniques. Anyone interested in expanding their algorithmic knowledge can purchase their copy at