Book Image

50 Algorithms Every Programmer Should Know - Second Edition

By : Imran Ahmad
4 (5)
Book Image

50 Algorithms Every Programmer Should Know - Second Edition

4 (5)
By: Imran Ahmad

Overview of this book

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 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.
Table of Contents (22 chapters)
Free Chapter
1
Section 1: Fundamentals and Core Algorithms
7
Section 2: Machine Learning Algorithms
14
Section 3: Advanced Topics
20
Other Books You May Enjoy
21
Index

Failure of Tay, the Twitter AI bot

Let’s present the classical example of Tay, which was presented as the first-ever AI Twitter bot created by Microsoft in 2016. Using an AI algorithm, Tay was trained as an automated Twitter bot capable of responding to tweets about a particular topic. To achieve that, it had the capability of constructing simple messages using its existing vocabulary by sensing the context of the conversation. Once deployed, it was supposed to keep learning from real-time online conversations and by augmenting its vocabulary of the words used often in important conversations. After living in cyberspace for a couple of days, Tay started learning new words. In addition to some new words, unfortunately, Tay picked up some words from the racism and rudeness of ongoing tweets. It soon started using newly learned words to generate tweets of its own. A tiny minority of these tweets were offensive enough to raise a red flag. Although it exhibited intelligence and...