Data Algorithms: Recipes for Scaling Up with Hadoop and Spark
Mahmoud Parsian
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The study of algorithms stands at the cornerstone of computer science and plays a critical role in our digital lives. This category in our online bookstore offers you a comprehensive collection of books that delve into the heart of computational theory and practice.
Algorithms are step-by-step procedures or formulas for solving problems. They form the backbone of most technological processes, from basic arithmetic operations to complex artificial intelligence tasks. By learning about algorithms, you gain a deeper understanding of how computers execute tasks efficiently and effectively.
Studying algorithms provides several benefits. Firstly, it enhances your problem-solving skills, allowing you to deconstruct complex problems into manageable steps. Secondly, a solid understanding of algorithms is essential for anyone interested in pursuing a career in technology, data science, or software engineering. Finally, algorithms are pivotal in optimizing processes and can lead to more efficient systems and applications.
The Algorithms category is thoughtfully curated to cater to a diverse audience, from beginners to experts. Here are some of the different types of algorithmic books you will find:
Our collection covers a broad spectrum of subjects, ensuring that you get a well-rounded understanding of algorithms. Key topics include:
The Algorithms category is for everyone. Whether you are a student looking to excel in your computer science courses, a professional developer seeking to optimize your code, or a curious learner aiming to expand your knowledge, these books provide invaluable insights and understanding.
We feature works from renowned authors in the field, ensuring that you receive high-quality and reliable content. Some of the leading books you might explore include:
Embark on a journey through the intriguing world of algorithms by exploring our comprehensive collection of books. Whether you are laying the groundwork or venturing into new territories, the Algorithm category offers a diverse range of resources to support your learning and development. Immerse yourself in the study of algorithms and discover how they can revolutionize the way you think about computational problems and solutions.
Mahmoud Parsian
Mahmoud Parsian
Daniel Smith-Tone (auth.),Nicolas Sendrier (eds.)
Donald E. Knuth
Mahmoud Parsian
Lance Chambers
Jain,Hemant
William Turner
Michael T. Goodrich,Roberto Tamassia
Xinwei Wang,Jie Liu,Haijun Peng
Veli Mäkinen et al.
Knuth,Donald Ervin
Jouni Smed,Harri Hakonen
Christos H. Papadimitriou,Kenneth Steiglitz
Imran Ahmad
Michael T. Goodrich,Roberto Tamassia
Ville Tuulos
Sanjeev Arora,Boaz Barak
M.T. GoodrichandR. Tamassia
Allan Borodin,Ran El-Yaniv
Noam Nisan,Tim Roughgarden,Eva Tardos,Vijay V. Vazirani
Xin-She Yang (editor)
Miller B.N.,Ranum D.L.
Eric Schmidt
Chambers,Lance
Ke-Lin Du,M. N. S. Swamy (auth.)
R. Boudarel, J. DelmasandP. Guichet (Eds.)