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An accessible and engaging resource to fill in some of my knowledge gaps and make me a more confident Java developer.
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Sharpen your coding skills by exploring established computer science problems! Classic Computer Science Problems in Java challenges you with time-tested scenarios and algorithms. You’ll work through a series of exercises based in computer science fundamentals that are designed to improve your software development abilities, improve your understanding of artificial intelligence, and even prepare you to ace an interview. As you work through examples in search, clustering, graphs, and more, you'll remember important things you've forgotten and discover classic solutions to your "new" problems!
about the technology
Whatever software development problem you’re facing, odds are someone has already uncovered a solution. This book collects the most useful solutions devised, guiding you through a variety of challenges and tried-and-true problem-solving techniques. The principles and algorithms presented here are guaranteed to save you countless hours in project after project.about the book
Classic Computer Science Problems in Java is a master class in computer programming designed around 55 exercises that have been used in computer science classrooms for years. You’ll work through hands-on examples as you explore core algorithms, constraint problems, AI applications, and much more.what's inside
- Recursion, memoization, and bit manipulation
- Search, graph, and genetic algorithms
- Constraint-satisfaction problems
- K-means clustering, neural networks, and adversarial search
about the author
David Kopec is an assistant professor of Computer Science and Innovation at Champlain College in Burlington, Vermont.
We interviewed David as a part of our Six Questions series. Check it out here.
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Simply the best IT book of 2020.
Excellent study material for anyone who wishes to brush up their CS problem-solving skills.
A great book for learning new ways to resolve common problems. The explanation of each solution is fantastic.