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The ability to use algorithms to solve real-world problems is an essential skill for any developer or programmer. But an important question for them is to dive into a large set of algorithms and find the most relevant ones.
This book (50 algorithms that every programmer should know) will help you not only develop the skills to select and use an algorithm to address real-world problems, but also 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 she progresses, she will learn about linear programming, page sorting, and graphs, and then work with machine learning algorithms to understand the math and logic behind them. Additionally, the book will delve into modern deep learning techniques, including long short-term memory (LSTM), gated recurrent unit (GRU), and recurrent neural networks (RNN), providing insights into their applications. The broad scope of generative ai and large language models (LLMs) such as ChatGPT will also be explored, unraveling the algorithms, methodologies and architectures that drive their implementation.
The case studies will show you how to apply these algorithms optimally before focusing on deep learning algorithms and learning about the different types of deep learning models along with their practical use. Finally, you will be well versed in techniques that enable parallel processing, giving you the ability to use these algorithms for compute-intensive tasks.
At the end of this programming bookYou will have become an expert at solving real-world computational problems using a wide range of algorithms, including modern deep learning techniques.
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