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50 Algorithms Every Programmer Should Know: Tackle computer science challenges with classic to modern algorithms in machine learning, software design, data systems, and cryptography
Delve into the realm of generative AI and large language models (LLMs) while exploring modern deep learning techniques, including LSTMs, GRUs, RNNs with new chapters included in this 50% new edition overhaul
Purchase of the print or Kindle book includes a free eBook in PDF format.
Key FeaturesFamiliarize yourself with advanced deep learning architecturesExplore newer topics, such as handling hidden bias in data and algorithm explainabilityGet to grips with different programming algorithms and choose the right data structures for their optimal implementationBook DescriptionThe 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 work with machine learning algorithms to understand the math and logic behind them.
Case studies will show you how to apply these algorithms optimally before you focus on deep learning algorithms and learn about different types of deep learning models along with their practical use.
You will also learn about modern sequential models and their variants, algorithms, methodologies, and architectures that are used to implement Large Language Models (LLMs) such as ChatGPT.
Finally, you'll become well versed in techniques that enable parallel processing, giving you the ability to use these algorithms for compute-intensive tasks.
By the end of this programming book, you'll have become adept at solving real-world computational problems by using a wide range of algorithms.
What you will learnDesign algorithms for solving complex problemsBecome familiar with neural networks and deep learning techniquesExplore existing data structures and algorithms found in Python librariesImplement graph algorithms for fraud detection using network analysisDelve into state-of-the-art algorithms for proficient Natural Language Processing illustrated with real-world examplesCreate a recommendation engine that suggests relevant movies to subscribersGrasp the concepts of sequential machine learning models and their foundational role in the development of cutting-edge LLMsWho this book is forThis computer science book is for programmers or developers who want to understand the use of algorithms for problem-solving and writing efficient code.
Whether you are a beginner looking to learn the most used algorithms concisely or an experienced programmer looking to explore cutting-edge algorithms in data science, machine learning, and cryptography, you'll find this book useful.
Python programming experience is a must, knowledge of data science will be helpful but not necessary.
Table of ContentsCore AlgorithmsData StructuresSorting and Searching AlgorithmsDesigning AlgorithmsGraph AlgorithmsUnsupervised Machine Learning AlgorithmsSupervised Learning AlgorithmsNeural Ne
Purchase of the print or Kindle book includes a free eBook in PDF format.
Key FeaturesFamiliarize yourself with advanced deep learning architecturesExplore newer topics, such as handling hidden bias in data and algorithm explainabilityGet to grips with different programming algorithms and choose the right data structures for their optimal implementationBook DescriptionThe 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 work with machine learning algorithms to understand the math and logic behind them.
Case studies will show you how to apply these algorithms optimally before you focus on deep learning algorithms and learn about different types of deep learning models along with their practical use.
You will also learn about modern sequential models and their variants, algorithms, methodologies, and architectures that are used to implement Large Language Models (LLMs) such as ChatGPT.
Finally, you'll become well versed in techniques that enable parallel processing, giving you the ability to use these algorithms for compute-intensive tasks.
By the end of this programming book, you'll have become adept at solving real-world computational problems by using a wide range of algorithms.
What you will learnDesign algorithms for solving complex problemsBecome familiar with neural networks and deep learning techniquesExplore existing data structures and algorithms found in Python librariesImplement graph algorithms for fraud detection using network analysisDelve into state-of-the-art algorithms for proficient Natural Language Processing illustrated with real-world examplesCreate a recommendation engine that suggests relevant movies to subscribersGrasp the concepts of sequential machine learning models and their foundational role in the development of cutting-edge LLMsWho this book is forThis computer science book is for programmers or developers who want to understand the use of algorithms for problem-solving and writing efficient code.
Whether you are a beginner looking to learn the most used algorithms concisely or an experienced programmer looking to explore cutting-edge algorithms in data science, machine learning, and cryptography, you'll find this book useful.
Python programming experience is a must, knowledge of data science will be helpful but not necessary.
Table of ContentsCore AlgorithmsData StructuresSorting and Searching AlgorithmsDesigning AlgorithmsGraph AlgorithmsUnsupervised Machine Learning AlgorithmsSupervised Learning AlgorithmsNeural Ne
538 pages, Kindle Edition
Published September 29, 2023
30 people are currently reading
126 people want to read
About the author
Imran Ahmad
44 books8 followersImran Ahmad is affiliated with the Food Engineering and Bioprocess Technology program at the Asian Institute of Technology, Thailand.
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Displaying 1 - 3 of 3 reviews
November 5, 2023
Imran Ahmad's updated "50 Algorithms Every Programmer Should Know" builds impressively on his prior work, offering both breadth and depth in algorithmic knowledge. This edition eases readers in, benefiting both beginners and seasoned programmers, and shines with its detailed treatment of Advanced Deep Learning Architectures, especially in its lucid explanation of Sequential Networks and Generative AI in Chapters 10 and 11.
Ahmad's meticulous research presents not just the technicalities of neural networks and recommendation engines but also tackles contemporary issues like data bias and the importance of algorithm explainability. This book surpasses its predecessor by not only adding new content but also by deepening the discourse, positioning itself as a substantial resource for Python programmers and algorithm enthusiasts. It transforms foundational knowledge into a comprehensive guide that promises renewed insights into the evolving field of algorithms. Imran Ahmad's new edition is a transformative upgrade to the algorithmic literature landscape.
Ahmad's meticulous research presents not just the technicalities of neural networks and recommendation engines but also tackles contemporary issues like data bias and the importance of algorithm explainability. This book surpasses its predecessor by not only adding new content but also by deepening the discourse, positioning itself as a substantial resource for Python programmers and algorithm enthusiasts. It transforms foundational knowledge into a comprehensive guide that promises renewed insights into the evolving field of algorithms. Imran Ahmad's new edition is a transformative upgrade to the algorithmic literature landscape.
October 22, 2023
Comprehensive and well-structured guide that balances theory with practicality. Highly recommended.
"50 Algorithms Every Programmer Should Know" is an indispensable resource for programmers and developers seeking to enhance their algorithmic problem-solving skills. It caters to a wide audience, from novice programmers to experienced developers, and covers a diverse range of algorithmic topics, making it an essential reference for anyone looking to enhance their algorithmic problem-solving skills. Whether you're a Python enthusiast, a data scientist, or a cryptography enthusiast, this book offers valuable insights and real-world applications to sharpen your algorithmic toolkit.
"50 Algorithms Every Programmer Should Know" is an indispensable resource for programmers and developers seeking to enhance their algorithmic problem-solving skills. It caters to a wide audience, from novice programmers to experienced developers, and covers a diverse range of algorithmic topics, making it an essential reference for anyone looking to enhance their algorithmic problem-solving skills. Whether you're a Python enthusiast, a data scientist, or a cryptography enthusiast, this book offers valuable insights and real-world applications to sharpen your algorithmic toolkit.
November 18, 2023
"50 Algorithms Every Programmer Should Know" is a must-have for programmers at all levels. The book's concise explanations and practical examples make complex algorithms accessible. It covers a diverse array of algorithms, striking a balance between theory and real-world application. The structured format enhances its usability as a quick reference guide.
Displaying 1 - 3 of 3 reviews