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Название: Probability, Statistics, and dаta: A Fresh Approach Using R
Автор: Darrin Speegle, Bryan Clair
Издательство: CRC Press
Год: 2022
Страниц: 513
Язык: английский
Формат: pdf (true)
Размер: 22.2 MB

This book is a fresh approach to a calculus based, first course in probability and statistics, using R throughout to give a central role to data and simulation. The book introduces probability with Monte Carlo simulation as an essential tool. Simulation makes challenging probability questions quickly accessible and easily understandable. Mathematical approaches are included, using calculus when appropriate, but are always connected to experimental computations. Using R and simulation gives a nuanced understanding of statistical inference. The impact of departure from assumptions in statistical tests is emphasized, quantified using simulations, and demonstrated with real data. The book compares parametric and non-parametric methods through simulation, allowing for a thorough investigation of testing error and power. The text builds R skills from the outset, allowing modern methods of resampling and cross validation to be introduced along with traditional statistical techniques.

Название: Artificial Intelligence and Computing Logic: Cognitive Technology for AI Business Analytics
Автор: Cyrus F. Nourani
Издательство: Apple Academic Press, Inc
Год: 2022
Формат: True PDF
Страниц: 286
Размер: 10.4 Mb
Язык: English

Focusing on the cutting-edge applications of AI cognitive computing from neuromorphic to quantum cognition as applied to AI business analytics, this new volume explores AI’s importance in managing cognitive processes along with ontological modeling concepts for venturing into new business frontiers. The volume presents a selection of significant new accomplishments in the areas of AI cognitive computing ranging from neurocognition perception and decision-making in the human brain—combining neurocognitive techniques and effective computing—to basic facial recognition computing models.

Название: Mathematical Programming for Power Systems Operation with Python Applications
Автор: Alejandro Garces
Издательство: CRC Press
Год: 2022
Формат: PDF
Страниц: 298
Размер: 10 Mb
Язык: English

Explore the theoretical foundations and real-world power system applications of convex programming In Mathematical Programming for Power System Operation with Applications in Python, Professor Alejandro Garces delivers a comprehensive overview of power system operations models with a focus on convex optimization models and their implementation in Python. Divided into two parts, the book begins with a theoretical analysis of convex optimization models before moving on to related applications in power systems operations.

Название: Introduction to Gravitational Lensing: With Python Examples
Автор: Massimo Meneghetti
Издательство: Springer
Год: 2021
Формат: PDF
Страниц: 417
Размер: 15 Mb
Язык: English

This book introduces the phenomenology of gravitational lensing in an accessible manner and provides a thorough discussion of the related astrophysical applications. It is intended for advanced undergraduates and graduate students who want to start working in this rapidly evolving field. This includes also senior researchers who are interested in ongoing or future surveys and missions such as DES, Euclid, WFIRST, LSST.

Название: Machine Learning with Neural Networks: An Introduction for Scientists and Engineers
Автор: B. Mehlig
Издательство: Cambridge University Press
Год: 2022
Формат: PDF
Страниц: 261
Размер: 10 Mb
Язык: English

This modern and self-contained book offers a clear and accessible introduction to the important topic of machine learning with neural networks. In addition to describing the mathematical principles of the topic, and its historical evolution, strong connections are drawn with underlying methods from statistical physics and current applications within science and engineering. Closely based around a well-established undergraduate course, this pedagogical text provides a solid understanding of the key aspects of modern machine learning with artificial neural networks, for students in physics, mathematics, and engineering. Numerous exercises expand and reinforce key concepts within the book and allow students to hone their programming skills. Frequent references to current research develop a detailed perspective on the state-of-the-art in machine learning research.

Название: React Explained Clearly: All You Need to Build Great React.js Apps
Автор: Oluwatobi Sofela
Издательство: codesweetly.com
Год: 2021
Страниц: 269
Язык: английский
Формат: pdf, azw3, epub
Размер: 10.2 MB

No matter how massive or miniature your project may be, React is well-suited to help you develop any web application efficiently. This book (React Explained Clearly) uses scalable projects to explain essential React.js concepts that will set you on sound footings to become a proficient React developer. React is a component-based jаvascript library used to build user interfaces (UI) efficiently. Why use React? Developers primarily use ReactJS to build independent, reusable components that you can combine with other isolated user interfaces to create highly scalable applications.

Название: Soft Computing in Interdisciplinary Sciences
Автор: S. Chakraverty
Издательство: Springer
Серия: Studies in Computational Intelligence
Год: 2022
Страниц: 264
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

This book meets the present and future needs for the interaction between various science and technology/engineering areas on the one hand and different branches of soft computing on the other. Soft computing is the recent development about the computing methods which include fuzzy set theory/logic, evolutionary computation (EC), probabilistic reasoning, artificial neural networks, Machine Learning, expert systems, etc. Soft computing refers to a partnership of computational techniques in computer science, Artificial Intelligence, Machine Learning, and some other engineering disciplines, which attempt to study, model, and analyze complex problems from different interdisciplinary problems.

Название: Bash Idioms: Write powerful, flexible, and readable shell scripts (Early Release)
Автор: Carl Albing, JP Vossen
Издательство: O’Reilly Media, Inc.
Год: 2021-11-03
Язык: английский
Формат: epub
Размер: 10.2 MB

Shell scripts are everywhere, especially those written in bash compatible syntax, and it's extremely useful to be able to understand and write them, but they can be complex and obscure. Complexity is the enemy of security, but it's also the enemy of readability and understanding. With this practical book, you'll learn how to decipher old bash code and write new code that's as clear and readable as possible. Your future you will thank you. Authors Carl Albing and JP Vossen show you how to use the power and flexibility of the shell to your advantage. You'll learn how to read and write scripts like an expert.

Название: Enterprise 2.0 with Agorava : Social Frameworks for the Java Platform
Автор: Werner Keil
Издательство: Leanpub
Год: 2020-11-09
Язык: английский
Формат: pdf (true), mobi, epub
Размер: 17.2 MB

Hopefully things will change as the social media industry stabilizes a bit more and is more ready for standardization. In the meanwhile community projects like Agorava have a very important part to play. In absence of any real open standards, Agorava can provide some level of interoperability through a common interface for the very divergent social media APIs of today - at least for Java and Java EE developers. The project is also very significant to the Java EE ecosystem on its own right. It demonstrates first-hand how CDI extensions can effectively build upon the stable core of the Java EE platform where needed while still adhering as closely as possible to the principles of interoperability and vendor-neutrality.

Название: Financial Theory with Python: A Gentle Introduction
Автор: Yves Hilpisch
Издательство: O’Reilly Media
Год: 2022
Формат: True PDF, ePUB
Страниц: 204
Размер: 10 Mb
Язык: English

Using an approach where mathematical concepts provide the common background against which financial ideas and programming techniques are learned, Financial Theory with Python teaches you the basics of financial economics. Written by the bestselling author of Python for Finance, Yves Hilpisch, this practical guide explains financial, mathematical, and Python programming concepts in an integrative manner so that the interdisciplinary concepts reinforce each other.