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Название: Applied Software Development with Python & Machine Learning
Автор: Robert LeMoyne, Timothy Mastroianni
Издательство: World Scientific
Год: 2022
Формат: PDF
Страниц: 249
Размер: 22,8 Mb
Язык: English

The book presents the confluence of wearable and wireless inertial sensor systems, such as a smartphone, for deep brain stimulation for treating movement disorders, such as essential tremor, and machine learning. The machine learning distinguishes between distinct deep brain stimulation settings, such as 'On' and 'Off' status. This achievement demonstrates preliminary insight with respect to the concept of Network Centric Therapy, which essentially represents the Internet of Things for healthcare and the biomedical industry, inclusive of wearable and wireless inertial sensor systems, machine learning, and access to Cloud computing resources.Imperative to the realization of these objectives is the organization of the software development process. Requirements and pseudo code are derived, and software automation using Python for post-processing the inertial sensor signal data to a feature set for machine learning is progressively developed.

Название: Black Hat Python: Программирование на Python для хакеров и пентестеров
Автор: Зейтц Юстин, Арнольд Тим
Издательство: СПб.: Питep
Год: 2022
Формат: pdf/djvu
Страниц: 256
Размер: 11 mb
Язык: русский

Когда речь идет о создании мощных и эффективных хакерских инструментов, большинство аналитиков по безопасности выбирают Python. Во втором издании бестселлера Black Hat Python вы исследуете темную сторону возможностей Python — все от написания сетевых снифферов, похищения учетных данных электронной почты и брутфорса каталогов до разработки мутационных фаззеров, анализа виртуальных машин и создания скрытых троянов.

Название: Python Concurrency with asyncio
Автор: M Fowler
Издательство: Manning Publications
Год: 2022
Формат: True PDF
Страниц: 378
Размер: 10 Mb
Язык: English

Learn how to speed up slow Python code with concurrent programming and the cutting-edge asyncio library.
Use coroutines and tasks alongside async/await syntax to run code concurrently
Build web APIs and make concurrency web requests with aiohttp
Run thousands of SQL queries concurrently
Create a map-reduce job that can process gigabytes of data concurrently
Use threading with asyncio to mix blocking code with asyncio code

Название: Core Java, Vol. II-Advanced Features, 12th Edition
Автор: Cay S. Horstmann
Издательство: Addison-Wesley Professional
Год: 2022
Формат: ePUB
Страниц: 944
Размер: 14,8 Mb
Язык: English

The #1 Java Guide for Serious Programmers: Fully Updated through Java 17
Core Java, Volume II: Fundamentals, Twelfth Edition, is the definitive guide to writing robust, maintainable code. Whatever version of Java you are usingup to and including Java 17this book will help you achieve a deep and practical understanding of the language and APIs. With with authoritative coverage of enterprise programming, networking, databases, security, modularization, internationalization, code processing, native methods, and more. Cay S. Horstmann explores sophisticated new features with depth and completeness, demonstrating how to use them to build professional-quality applications

Название: Computational Analysis of Storylines: Making Sense of Events (Studies in Natural Language Processing)
Автор: Tommaso Caselli, Eduard Hovy
Издательство: Cambridge University Press
Год: 2021
Страниц: 275
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Event structures are central in Linguistics and Artificial Intelligence research: people can easily refer to changes in the world, identify their participants, distinguish relevant information, and have expectations of what can happen next. Part of this process is based on mechanisms similar to narratives, which are at the heart of information sharing. But it remains difficult to automatically detect events or automatically construct stories from such event representations. This book explores how to handle today's massive news streams and provides multidimensional, multimodal, and distributed approaches, like automated deep learning, to capture events and narrative structures involved in a 'story'. This overview of the current state-of-the-art on event extraction, temporal and casual relations, and storyline extraction aims to establish a new multidisciplinary research community with a common terminology and research agenda. Graduate students and researchers in natural language processing, computational linguistics, and media studies will benefit from this book.

Название: Black Hat Python: программирование для хакеров и пентестеров, 2-е изд
Автор: Зейтц Д., Арнольд Т.
Издательство: Питep
Год: 2022
Формат: True PDF
Страниц: 224
Размер: 10 Mb
Язык: Русский

Когда речь идет о создании мощных и эффективных хакерских инструментов, большинство аналитиков по безопасности выбирают Python. Во втором издании бестселлера Black Hat Python вы исследуете темную сторону возможностей Python — все от написания сетевых снифферов, похищения учетных данных электронной почты и брутфорса каталогов до разработки мутационных фаззеров, анализа виртуальных машин и создания скрытых троянов.

Название: Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications
Автор: Om Prakash Jena, Bharat Bhushan, Utku Kose
Издательство: CRC Press
Год: 2022
Страниц: 292
Язык: английский
Формат: pdf (true)
Размер: 14.3 MB

Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications introduces and explores a variety of schemes designed to empower, enhance, and represent multi-institutional and multi-disciplinary Machine Learning (ML) and Deep Learning (DL) research in healthcare paradigms. Serving as a unique compendium of existing and emerging ML/DL paradigms for the healthcare sector, this book demonstrates the depth, breadth, complexity, and diversity of this multi-disciplinary area. It provides a comprehensive overview of ML/DL algorithms and explores the related use cases in enterprises such as computer-aided medical diagnostics, drug discovery and development, medical imaging, automation, robotic surgery, electronic smart records creation, outbreak prediction, medical image analysis, and radiation treatments.

Название: Prediction and Analysis for Knowledge Representation and Machine Learning
Автор: Avadhesh Kumar, Shrddha Sagar, T. Ganesh Kumar
Издательство: CRC Press
Год: 2022
Страниц: 232
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Number of approaches are being defined for statistics and Machine Learning. These approaches are used for the identification of the process of the system and the models created from the system's perceived data, assisting scientists in the generation or refinement of current models. Machine Learning (ML) is being studied extensively in science, particularly in bioinformatics, economics, social sciences, ecology, and climate science, but learning from data individually needs to be researched more for complex scenarios. Advanced knowledge representation approaches that can capture structural and process properties are necessary to provide meaningful knowledge to Machine Learning algorithms. It has a significant impact on comprehending difficult scientific problems.

Название: Quantum Computing in Action
Автор: Johan Vos
Издательство: Manning Publications
Год: 2022
Формат: ePUB
Страниц: 410
Размер: 10 Mb
Язык: English

Quantum computing is on the horizon and you can get started today! This practical, clear-spoken guide shows you don’t need a physics degree to write your first quantum software.

Название: Data Privacy
Автор: Nishant Bhajaria
Издательство: Manning Publications
Год: 2022
Формат: ePUB
Страниц: 365
Размер: 10 Mb
Язык: English

Data Privacy teaches you to design, develop, and measure the effectiveness of privacy programs. You’ll learn from author Nishant Bhajaria, an industry-renowned expert who has overseen privacy at Google, Netflix, and Uber. The terminology and legal requirements of privacy are all explained in clear, jargon-free language. The book’s constant awareness of business requirements will help you balance trade-offs, and ensure your user’s privacy can be improved without spiraling time and resource costs.