College Book Table - All the best textbooks for students

Artificial Intelligence

February 20, 2025

Explainable Artificial Intelligence: Understanding Interpretability Techniques – Uday Kamath John Liu and Jacqueline H. Y. Cheung

Explainable Artificial Intelligence (XAI) is a rapidly growing subfield of artificial intelligence (AI) that aims to make AI models and systems more transparent and understandable to humans. The goal of XAI is to bridge the gap between the black box nature of many AI models and human interpretability, to enable users to understand why and

Artificial Intelligence

February 20, 2025

Stochastic Processes: Theory for Applications – Robert G. Gallager

Stochastic processes are an essential mathematical framework for understanding and modeling random phenomena. They have numerous applications in fields such as finance, engineering, and biology. One of the most well-known and influential works in this field is Stochastic Processes: Theory for Applications by Robert G. Gallager. Gallager is a renowned American electrical engineer and information

Aerospace Engineering

February 19, 2025

Fundamentals of Aerodynamics – John D. Anderson Jr.

Fundamentals of Aerodynamics – John D. Anderson Jr. John D. Anderson Jr. is a renowned aerospace engineer and author who has made significant contributions to the field of aerodynamics. He is currently a professor emeritus at the University of Maryland and has also taught at the United States Air Force Academy and the University of

Algorithms

February 19, 2025

Algorithmics: The Spirit of Computing – David Harel and Yishai Feldman

INTRODUCTION Algorithmics: The Spirit of Computing is a book written by David Harel and Yishai Feldman. It was published in 2004 and focuses on the core concepts of algorithmics and its importance in computing. Algorithmics is the study and design of algorithms, which are step-by-step procedures for solving a problem or accomplishing a task. In

Aerospace Engineering

February 19, 2025

Orbital Mechanics for Engineering Students – Howard D. Curtis

Introduction to Orbital Mechanics Orbital mechanics is a fundamental aspect of aerospace engineering that involves the study of the motion and behavior of objects in space. It is essential for understanding the trajectory and dynamics of satellites, rockets, and other spacecraft in Earth’s orbit and beyond. One of the leading textbooks on the subject is

Aerospace Engineering

February 18, 2025

Advanced Aircraft Flight Performance – Antonio Filippone

Advanced Aircraft Flight Performance is a topic that has been extensively studied and researched by aeronautical engineers and scientists for decades. It is a field that aims to understand, analyze and improve the performance of aircraft in flight. In this blog post, we will be focusing on the work of Antonio Filippone, a prominent researcher

Algorithms

February 18, 2025

Algorithmic Puzzles – Anany Levitin and Maria Levitin

Algorithmic puzzles have become increasingly popular as a means of stimulating critical thinking, problem-solving, and programming skills among both students and professionals. Anany Levitin and Maria Levitin are two notable authors who have contributed significantly to the field of algorithmic puzzles. Anany Levitin Anany Levitin is a Professor Emeritus of the Department of Computer Science

Aerospace Engineering

February 17, 2025

Gas Dynamics – James E. A. John and Theo G. Keith

Introduction to Gas Dynamics: Gas Dynamics is a branch of fluid mechanics that deals with the study of the motion of gases under the influence of various forces and thermodynamic conditions. It is a fundamental field of study for understanding the behavior of gases in different applications, such as in aircrafts, rockets, turbines, and internal

Artificial Intelligence

February 17, 2025

Deep Learning for Coders with Fastai and PyTorch – Jeremy Howard and Sylvain Gugger

Introduction Deep Learning has revolutionized the field of artificial intelligence and has become one of the most sought-after skills for developers and data scientists. With the increasing availability of data and computing power, it has become easier for individuals to learn and apply deep learning techniques in their projects. However, the complexity and unfamiliarity of

Algorithms

February 17, 2025

Randomized Algorithms – Rajeev Motwani and Prabhakar Raghavan

Randomized Algorithms – Rajeev Motwani and Prabhakar Raghavan Randomized algorithms are a powerful tool in computer science that use randomness to improve the efficiency or simplifying the design of an algorithm. They were pioneered by two computer scientists, Rajeev Motwani and Prabhakar Raghavan. Rajeev Motwani was a professor of computer science at Stanford University and