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
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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
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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
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High-Speed Flight Propulsion Systems – S. N. B. Murthy and E. T. Curran

Introduction High-speed flight has always been a dream for humans, with the ability to travel at supersonic or hypersonic speeds promising to revolutionize the way we travel and explore the world. However, achieving these speeds requires advanced propulsion systems that can handle the challenges of high temperatures, pressures, and speeds. In this blog post, we
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Introduction to Machine Learning – Mehryar Mohri Afshin Rostamizadeh and Ameet Talwalkar

Introduction to Machine Learning: Mehryar Mohri, Afshin Rostamizadeh, and Ameet Talwalkar Machine learning has become an integral part of many industries and applications in recent years. It is a subset of artificial intelligence that focuses on developing algorithms and techniques that enable computers to learn from data without being explicitly programmed. One of the most
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