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   Practical natural language processing with Python: with case studies from industries using text data at scale
Sri M.,  Apress, New York, NY, 2021. 272 pp. Type: Book (978-1-484262-45-0)

Understanding spoken and written communication can be difficult, even for humans. Creating linguistic processes and algorithms for computers is extremely challenging. Natural language processing (NLP) technology is more common than most people rea...

1  
  A survey of machine learning for big code and naturalness
Allamanis M., Barr E., Devanbu P., Sutton C.  ACM Computing Surveys 51(4): 1-37, 2018. Type: Article

There is a rising demand for effective software tools that can help developers build reliable and maintainable software systems. There has been abundant research to help developers track bugs and verify program properties and refactor code. Recent...

2  
  Learning scientific programming with Python (2nd ed.)
Hill C.,  Cambridge University Press, Cambridge, UK, 2020. 570 pp. Type: Book (978-1-108745-91-8)

The author is a scientist, and this text is for science and engineering students who want to learn Python. It covers Python well using many science-based examples. While the book does not explain the science, it does include the appropriate formul...

3  
   Technical debt in practice
Ernst N., Kazman R., Delange J.,  MIT Press, Boston, MA, 2021. 288 pp. Type: Book (978-0-262542-11-1)

Anyone who has worked on a software project of even moderate size or duration will know that projects tend to accumulate technical debt. However, the exigencies of software development in the real world often mean that little is done to deal with ...

4  
   Internet of Things: concepts and system design
Milenkovic M.,  Springer International Publishing, New York, NY, 2020. 315 pp. Type: Book (978-3-030413-45-3)

The Internet of Things (IoT) is a paradigm shift. With computers growing from workstations to powerful cloud systems capable of performing huge operations, the IoT has given to such systems the feeling of the physical world. Attaching sensors to a...

5  
  Quantum machine learning with Python: using Cirq from Google Research and IBM Qiskit
Pattanayak S.,  Apress, New York, NY, 2021. 384 pp. Type: Book (978-1-484265-21-5)

Machine learning has proved to be very successful in computer science, with applications to many areas in human life. Quantum computing is a marvelous new computation model with applications to some very hard problems. This book is at the crossroa...

6  
  Interpolatory methods for model reduction
Antoulas A., Beattie C., Güğercin S.,  SIAM, Philadelphia, PA, 2020. 232 pp. Type: Book (978-1-611976-07-6)

Interpolation methods are automatic techniques for reducing the size and other complexities of large complicated models. Modeling physical systems using differential equations and geometrical properties has been popular among scientists and engine...

7  
  Photoplethysmogram-based cognitive load assessment using multi-feature fusion model
Zhang X., Lyu Y., Qu T., Qiu P., Luo X., Zhang J., Fan S., Shi Y.  ACM Transactions on Applied Perception 16(4): 1-17, 2019. Type: Article

Physiological measures of cognitive load have become more accessible with advancements in neuro-imaging devices and wearable technology, and provide quantifiable data that previous measurement tools (for example, surveys) could not. As such, findi...

8  
  Foundations of probabilistic programming
Barthe G., Katoen J., Silva A.,  Cambridge University Press, Cambridge, UK, 2021. 582 pp. Type: Book (978-1-108488-51-8)

This book covers various programming languages for probabilistic programming. The languages are described using syntax, semantics, and examples. It also looks at the theories related to the semantics of probability constructs and discusses the rea...

9  
  An evaluation of the cost and performance of scientific workflows on Amazon EC2
Juve G., Deelman E., Berriman G., Berman B., Maechling P.  Journal of Grid Computing 10(1): 5-21, 2020. Type: Article

Cloud computing is becoming popular for computing that requires large processing power and massive data volume. The work reported here aims to study scientific workflows on Amazon Elastic Compute Cloud (EC2). The principal goal is to study runtime...

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