Название: Building an Anonymization Pipeline: Creating Safe Data First Edition
Автор: Luk Arbuckle and Khaled El Emam
Издательство: O’Reilly Media
Год: 2020-04-10
Формат: true pdf/epub
Страниц: 166
Размер: 16.4 Mb
Язык: English

How can you use data in a way that protects individual privacy but still provides useful and meaningful analytics? With this practical book, data architects and engineers will learn how to establish and integrate secure, repeatable anonymization processes into their data flows and analytics in a sustainable manner.
Luk Arbuckle and Khaled El Emam from Privacy Analytics explore end-to-end solutions for anonymizing device and IoT data, based on collection models and use cases that address real business needs. These examples come from some of the most demanding data environments, such as healthcare, using approaches that have withstood the test of time.

Название: Programming Elm: Build Safe, Sane, and Maintainable Front-End Applications
Автор: Jeremy Fairbank
Издательство: Pragmatic Bookshelf
Год: 2019
Формат: true pdf/epub
Страниц: 308
Размер: 12.6 Mb
Язык: English

Elm brings the safety and stability of functional programing to front-end development, making it one of the most popular new languages. Elm's functional nature and static typing means that run-time errors are nearly impossible, and it compiles to jаvascript for easy web deployment. This book helps you take advantage of this new language in your web site development. Learn how the Elm Architecture will help you create fast applications. Discover how to integrate Elm with jаvascript so you can update legacy applications. See how Elm tooling makes deployment quicker and easier.

Название: Effective Python: 90 Specific Ways to Write Better Python, Second Edition
Автор: Brett Slatkin
Издательство: Addison-Wesley Professional
Год: 2019
Формат: epub, true pdf
Страниц: 480
Размер: 54 Mb, 11.8 Mb
Язык: English

It’s easy to start developing programs with Python, which is why the language is so popular. However, Python’s unique strengths, charms, and expressiveness can be hard to grasp, and there are hidden pitfalls that can easily trip you up.
This second edition of Effective Python will help you master a truly “Pythonic” approach to programming, harnessing Python’s full power to write exceptionally robust and well-performing code. Using the concise, scenario-driven style pioneered in Scott Meyers’ best-selling Effective C++, Brett Slatkin brings together 90 Python best practices, tips, and shortcuts, and explains them with realistic code examples so that you can embrace Python with confidence.

Название: Modern Systems Programming with Scala Native: Write Lean, High-Performance Code without the JVM
Автор: Richard Whaling
Издательство: Pragmatic Bookshelf
Год: 2020
Название: Modern Systems Programming with Scala Native: Write Lean, High-Performance Code without the JVM
Автор: Richard Whaling
Издательство: Pragmatic Bookshelf
Год: 2020
Формат: true pdf/epub
Страниц: 262
Размер: 10.6 Mb
Язык: English

Access the power of bare-metal systems programming with Scala Native, an ahead-of-time Scala compiler. Without the baggage of legacy frameworks and virtual machines, Scala Native lets you re-imagine how your programs interact with your operating system. Compile Scala code down to native machine instructions; seamlessly invoke operating system APIs for low-level networking and IO; control pointers, arrays, and other memory management techniques for extreme performance; and enjoy instant start-up times. Skip the JVM and improve your code performance by getting close to the metal.

Название: Software Estimation Without Guessing: Effective Planning in an Imperfect World
Автор: George Dinwiddie
Издательство: Pragmatic Bookshelf
Год: 2020
Формат: true pdf/epub
Страниц: 248
Размер: 10 Mb
Язык: English

Estimating software development often produces more angst than value, but it doesn't have to. Identify the needs behind estimate requests and determine how to meet those needs simply and easily. Choose estimation techniques based on current needs and available information, gaining benefit while reducing cost and effort. Detect bad assumptions that might sink your project if you don't adjust your plans. Discover what to do when an estimate is wrong, how to recover, and how to use that knowledge for future planning. Learn to communicate about estimates in a healthy and productive way, maximizing advantage to the organization and minimizing damage to the people.

Название: Tools and Algorithms for the Construction and Analysis of Systems. 26th International Conference, TACAS 2020 Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2020 Dublin, Ireland, April 25–30, 2020 Proceedings, Part I
Автор: Armin Biere, David Parker
Издательство: Springer
Серия: Lecture Notes in Computer Science
Год: 2020
Страниц: 515
Язык: английский
Формат: pdf (true)
Размер: 16.3 MB

This two-volume set constitutes the proceedings of the 26th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, TACAS 2020, which took place in Dublin, Ireland, in April 2020, and was held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2020.

Название: Foundations and Practice of Security: 12th International Symposium, FPS 2019
Автор: Abdelmalek Benzekri, Michel Barbeau
Издательство: Springer
Год: 2020
Формат: PDF
Размер: 25 Мб
Язык: английский / English

This book constitutes the revised selected papers of the 12th International Symposium on Foundations and Practice of Security, FPS 2019, held in Toulouse, France, in November 2019.The 19 full papers and 9 short papers presented in this book were carefully reviewed and selected from 50 submissions. They cover a range of topics such as machine learning approaches; attack prevention and trustworthiness; and access control models and cryptography.

Название: Frontiers of Computer Vision: 26th International Workshop, IW-FCV 2020
Автор: Wataru Ohyama and Soon Ki Jung
Издательство: Springer
Год: 2020
Формат: PDF
Размер: 70 Мб
Язык: английский / English

This book constitutes refereed proceedings of the 26th International Workshop Frontiers of Computer Vision, IW-FCV 2020, held in Ibusuki, Kagoshima, Japan, in February 2020. The 27 full papers presented were thoroughly reviewed and selected from 68 submissions. The papers in the volume are organized according to the following topics: real-world applications; face, pose, and action recognition; object detection and tracking; inspection and diagnosis; camera, 3D and imaging.

Название: Advances in Cryptology - EUROCRYPT 2020, Part 1-3
Автор: Anne Canteaut and Yuval Ishai
Издательство: Springer
Год: 2020
Формат: PDF
Размер: 54 Мб
Язык: английский / English

The three volume-set LNCS 12105, 12106, and 12107 constitute the thoroughly refereed proceedings of the 39th Annual International Conference on the Theory and Applications of Cryptographic Techniques, EUROCRYPT 2020, held in Zagreb, Croatia, in May 2020. The 81 full papers presented were carefully reviewed and selected from 375 submissions. The papers are organized into the following topical sections: invited talk; best paper awards; obfuscation and functional encryption; symmetric cryptanalysis; randomness extraction; symmetric cryptography I; secret sharing; fault-attack security; succinct proofs; generic models; secure computation I; quantum I; foundations; isogeny-based cryptography; lattice-based cryptography; symmetric cryptography II; secure computation II; asymmetric cryptanalysis; verifiable delay functions; signatures; attribute-based encryption; side-channel security; non-interactive zero-knowledge; public-key encryption; zero-knowledge; quantum II.

Название: Hymn Of Modernity: Machine Learning, Augmented Reality, Big Data, Qubit, Neuralink and All Other Important Vocabulary It’s Time to Know
Автор: Satoshi San
Издательство: Independently Published
Год: 2020
Страниц: 169
Язык: английский
Формат: pdf, rtf, epub
Размер: 10.1 MB

Artificial intelligence (AI) is a type of computer software that gives computers the ability to simulate intelligent behaviour. Surprisingly, simulated “intelligence” is not necessarily human-like when it comes to resolving tasks; its potential is even greater. Machine learning (ML) is the most powerful and promising artificial intelligence technique to date. The term is most frequently associated with AI based on Artificial Neural Networks technology, which closely resembles the workings of the human brain.