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| | Fernando Berzal is currently an assistant professor at the Department of Computer Science and Artificial Intelligence at the University of Granada (Spain), where he is a member of Intelligent Databases and Information Systems research group (IdBIS, for short). His current research interests include knowledge discovery in databases and data mining, OLAP and data warehousing, intelligent information systems, and almost anything related to software development, from model-driven development to design patterns and software engineering best practices. At the University of Granada, Fernando has tried to teach courses on computer programming, databases, and computer networks, with different degrees of success. He has also been an instructor in specialized courses about advanced programming techniques. Apart from his research and teaching work, Fernando decided that he would like to put his ideas into practice and has co-founded a start-up company called iKor Consulting. iKor Consulting offers research and development, consulting, outsourcing, and training services for those interested in pushing the limits of their technology into unchartered territories (at least, that's what he naively likes to think). Fernando received a Bachelor's Degree in Computer Engineering from the University of Granada in 1999, and was awarded the Spanish Computer Studies First National Prize in 2000. Fernando also holds a Ph.D. in Computer Science from the University of Granada, which he obtained in 2002 with a thesis about an alternative way to build decision trees. Fernando is a member of the Association for Computing Machinery (ACM), IEEE, and IEEE Computer Society. He was a guest editor for the ACM Crossroads issue on Windows programming and editor of the Computer Programming Briefme weekly e-zine. He has also acted as a referee for several first-class publications, such as IEEE Software and Data and Knowledge Engineering, as well as for several research-oriented conferences. Finally, he has been a reviewer for Computing Reviews, Dr. Dobb's Journal ERCB, ACM SIGMOD Record, IEEE Software, and IEEE Distributed Systems Online. Since he is an avid reader, reviewing items for publications such as Computing Reviews is one of the most gratifying activities he has found, and he sees it as an excellent way to keep himself up to date on new topics in the field. |
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 Introduction to high performance scientific computing
Chopp D., SIAM-Society for Industrial and Applied Mathematics, Philadelphia, PA, 2019. 453 pp. Type: Book (978-1-611975-63-5)
Parallel programming has become commonplace in many application domains, from deep learning and other machine learning approaches to computer simulations and scientific computing. Scientific computing, understood as the use of numerica...
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Jan 29 2020 |
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Introduction to data mining (2nd ed.)
Tan P., Steinbach M., Karpatne A., Kumar V., Pearson, New York, NY, 2018. 864 pp. Type: Book (978-0-133128-90-1)
The first edition of this book, published in 2006 [1], was probably the best introductory textbook on data mining available. A dozen years later, the field has evolved to become mainstream under the commercial denomination of ̶...
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Jan 2 2019 |
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From neuron to cognition via computational neuroscience
Arbib M., Bonaiuto J., The MIT Press, 2016. 808 pp. Type: Book (978-0-262034-96-8)
An old aphorism says that, if our brains were simple enough to be understood, we wouldn’t be smart enough to understand them. Fortunately, many scientists are not so pessimistic, and they are unrelentingly trying to decipher ...
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Nov 15 2017 |
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Deep learning
Goodfellow I., Bengio Y., Courville A., The MIT Press, Cambridge, MA, 2016. 800 pp. Type: Book (978-0-262035-61-3), Reviews: (3 of 4)
Deep learning is currently the most popular (and maybe hyped) discipline within artificial intelligence (AI). It is a key component of current speech recognition systems and it has allowed computers to reach human-level performance in ...
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Jul 21 2017 |
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Designing software architectures: a practical approach
Cervantes H., Kazman R., Addison-Wesley Professional, Boston, MA, 2016. 320 pp. Type: Book (978-0-134390-78-9)
It is often forgotten that common sense is the least common of the senses. Sensible design advice, guidelines, and heuristics are often no more than just that: plain old common sense. However, rational reminders of our own fallibility ...
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Mar 15 2017 |
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Text data management and analysis: a practical introduction to information retrieval and text mining
Zhai C., Massung S., Association for Computing Machinery and Morgan & Claypool, New York, NY, 2016. 530 pp. Type: Book, Reviews: (2 of 4)
An old rule of thumb suggests that 90 percent of all potentially relevant business information is in unstructured form. Hence, it is no surprise that many mathematically ill-defined problems associated with text analysis have attracted...
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Oct 17 2016 |
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Multicore and GPU programming: an integrated approach
Barlas G., Morgan Kaufmann Publishers Inc., San Francisco, CA, 2015. 698 pp. Type: Book, Reviews: (3 of 3)
Parallel programming is a key skill for current software engineers, at least if they intend to exploit the capabilities of current hardware. Multicore microprocessors are now commonplace, even in mobile devices, whereas the advent of g...
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Aug 16 2016 |
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An introduction to MATLAB programming and numerical methods for engineers
Siauw T., Bayen A., Academic Press, Inc., Waltham, MA, 2014. 340 pp. Type: Book (978-0-124202-28-3), Reviews: (1 of 2)
Computer programming has become a necessary skill for many scientific and engineering disciplines beyond computer science, at least at its most basic level. Every scientist and engineer should be able to write small programs and simple...
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Feb 10 2015 |
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Data science for business: what you need to know about data mining and data-analytic thinking
Provost F., Fawcett T., O’Reilly Media, Inc., Sebastopol, CA, 2013. 414 pp. Type: Book (978-1-449361-32-7)
As Hal Varian, Google’s renowned chief economist, says,...
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Jun 19 2014 |
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Data-driven business decisions
Lloyd C., Wiley Publishing, Hoboken, NJ, 2011. 516 pp. Type: Book (978-0-470619-60-5)
Chris J. Lloyd, from the Melbourne Business School in Australia, stresses the important role of data in understanding business outcomes. In his book, you will not find a thorough treatment of machine learning and data mining techniques...
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Jul 9 2012 |
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