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50 Algorithms Every Programmer Should Know
Course Description
Overview
The 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 by understanding 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 even 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 will 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 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.Objectives
Audience
Topics
- Chapter 1: Overview of Algorithms
- Chapter 2: Data Structures Used in Algorithms
- Chapter 3: Sorting and Searching Algorithms
- Chapter 4: Designing Algorithms
- Chapter 5: Graph Algorithms
- Chapter 6: Unsupervised Machine Learning Algorithms
- Chapter 7: Traditional Supervised Learning Algorithms
- Chapter 8: Neural Network Algorithms
- Chapter 9: Advanced Deep Learning Algorithms
- Chapter 10: Algorithms for Natural Language Processing
- Chapter 11: Recommendation Engines
- Chapter 12: Data Algorithms
- Chapter 13: Cryptography
- Chapter 14: Large-Scale Algorithms
- Chapter 15: Practical Considerations
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