Best Reference Books – Computing Techniques

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

Here is the full list of best reference books on Computing Techniques.

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. “Grid Computing: Techniques and Applications” by Barry Wilkinson
2. “Soft Computing Techniques [Soft Computing] for SPPU” by I A Dhotre
3. “Soft Computing techniques” by N P Padhy and S P Simon
4. “Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis” by Michael Mitzenmacher and Eli Upfal
5. “Machine Learning with R” by Brett Lantz
6. “Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems” by Aurélien Géron
7. “Coders at Work: Reflections on the Craft of Programming” by Peter Seibel
8. “Compilers: Principles, Techniques, and Tools” by Alfred V Aho and Monica S Lam
9. “Numerical Method and Computing Techniques” by Pathak
10. “Innovations and Advanced Techniques in Systems, Computing Sciences and Software Engineering” by Khaled Elleithy

People who are searching for Free downloads of books and free pdf copies of these books – “Grid Computing: Techniques and Applications” by Barry Wilkinson, “Soft Computing Techniques [Soft Computing] for SPPU” by I A Dhotre, “Soft Computing techniques” by N P Padhy and S P Simon, “Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis” by Michael Mitzenmacher and Eli Upfal, “Machine Learning with R” by Brett Lantz, “Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems” by Aurélien Géron, “Coders at Work: Reflections on the Craft of Programming” by Peter Seibel, “Compilers: Principles, Techniques, and Tools” by Alfred V Aho and Monica S Lam, “Numerical Method and Computing Techniques” by Pathak, “Innovations and Advanced Techniques in Systems, Computing Sciences and Software Engineering” by Khaled Elleithy – 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 “Computing Techniques” so that one can readily see the list of top books on “Computing Techniques” and buy the books either online or offline.

If any more book needs to be added to the list of best books on Computing Techniques 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