Best Reference Books – Computation and Data Analysis

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We have compiled a list of Best Reference Books on Computation and Data Analysis Subject. These books are used by students of top universities, institutes and colleges.

Here is the full list of best reference books on Computation and Data Analysis.

We have put a lot of effort into researching the best books for reference on this subject and came out with a recommended list of best books. The table below contains a review of these books and links to the Amazon website to directly purchase these books. As an Amazon Associate, we earn from qualifying purchases, but this does not impact our reviews, comparisons, and listing of these books; the table serves as a ready reckoner list of these best books.

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1. “Data Structures and Algorithms (Addison-Wesley Series in Computer Science and Information Pr)” by Alfred V Aho and Jeffrey D Ullman
2. “Scientific Pascal” by Harley Flanders
3. “Data-Driven Modeling and Scientific Computation: Methods for Complex Systems and Big Data” by Kutz
4. “Computational Electromagnetics (Texts in Applied Mathematics)” by Anders Bondeson and Thomas Rylander
5. “The Algorithm Design Manual” by Steven S Skiena
6. “Mastering .NET Machine Learning” by Jamie Dixon
7. “Natural Language Processing and Text Mining” by Anne Kao and Steve R Poteet
8. “Using the Borsuk-Ulam Theorem: Lectures on Topological Methods in Combinatorics and Geometry (Universitext)” by A Björner and G M Ziegler
9. “Engineering Computation of Structures: The Finite Element Method” by Maria Augusta Neto and Ana Amaro
10. “Numerical Methods for Scientists and Engineers” by Richard W Hamming

People who are searching for Free downloads of books and free pdf copies of these books – “Data Structures and Algorithms (Addison-Wesley Series in Computer Science and Information Pr)” by Alfred V Aho and Jeffrey D Ullman, “Scientific Pascal” by Harley Flanders, “Data-Driven Modeling and Scientific Computation: Methods for Complex Systems and Big Data” by Kutz, “Computational Electromagnetics (Texts in Applied Mathematics)” by Anders Bondeson and Thomas Rylander, “The Algorithm Design Manual” by Steven S Skiena, “Mastering .NET Machine Learning” by Jamie Dixon, “Natural Language Processing and Text Mining” by Anne Kao and Steve R Poteet, “Using the Borsuk-Ulam Theorem: Lectures on Topological Methods in Combinatorics and Geometry (Universitext)” by A Björner and G M Ziegler, “Engineering Computation of Structures: The Finite Element Method” by Maria Augusta Neto and Ana Amaro, “Numerical Methods for Scientists and Engineers” by Richard W Hamming – we would like to mention that we don’t have free downloadable pdf copies of these good books and one should look for free pdf copies from these Authors only if they have explicitly made it free to download and read them.

We have created a collection of best reference books on “Computation and Data Analysis” so that one can readily see the list of top books on “Computation and Data Analysis” and buy the books either online or offline.

If any more book needs to be added to the list of best books on Computation and Data Analysis Subject, please let us know.

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Sanfoundry Global Education & Learning Series – Best Reference Books!

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Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He is Linux Kernel Developer & SAN Architect and is passionate about competency developments in these areas. He lives in Bangalore and delivers focused training sessions to IT professionals in Linux Kernel, Linux Debugging, Linux Device Drivers, Linux Networking, Linux Storage, Advanced C Programming, SAN Storage Technologies, SCSI Internals & Storage Protocols such as iSCSI & Fiber Channel. Stay connected with him @ LinkedIn