Название: Trustworthy Autonomic Computing
Автор: Thaddeus Eze
Издательство: The Institution of Engineering and Technology
Серия: IET Computing Series
Год: 2022
Страниц: 264
Язык: английский
Формат: pdf (true)
Размер: 13.3 MB

The concept of autonomic computing seeks to reduce the complexity of pervasively ubiquitous system management and maintenance by shifting the responsibility for low-level tasks from humans to the system while allowing humans to concentrate on high-level tasks. This is achieved by building self-managing systems that are generally capable of self-configuring, self-healing, self-optimising, and self-protecting. Trustworthy autonomic computing technologies are being applied in datacentre and cloud management, smart cities and autonomous systems including driverless cars. However, there are still significant challenges to achieving trustworthiness. This book covers challenges and solutions in autonomic computing trustworthiness from methods and techniques to achieve consistent and reliable system self-management. SES is one out of three types of exponential smoothing techniques. It is suitable for series that are unpredictable, i.e., series with no trend or seasonality. Holt’s exponential smoothing is suitable for series with trend and no seasonality while Winter’s exponential smoothing is suitable for series with trend and seasonality. These can be implemented in Python using the Statsmodels package.

Название: Speech Recognition Technology and Applications
Автор: Vasile-florian Pais
Издательство: Nova Science Publishers
Серия: Computer Science, Technology and Applications
Год: 2022
Страниц: 240
Язык: английский
Формат: pdf (true)
Размер: 20.3 MB

Speech represents the most natural means of communication between humans. By using Automatic Speech Recognition (ASR) and Text-to-Speech (TTS) systems, machines also become able to interact with humans using speech. This is of particular importance for building interactive robots or speech-enabled chatbots. This book starts by exploring state-of-the-art ASR and TTS approaches, making use of artificial neural networks, relevant also to low-resource scenarios. Then, it explores the application of speech technology to specific domains, such as the medical domain, human-robot interaction, and even interlinking of speech and text resources using linguistic linked open data (LLOD) principles. The book also provides punctuation restoration techniques, enabling the production of high-quality text transcripts. Included algorithms have low latency and can be parallelized, thus enabling their use in interactive systems. Chapter authors are professors and scientific researchers with experience in building and using Natural Language Processing (NLP) algorithms and speech applications. Supervised learning is a bottleneck for developing more powerful Machine Learning (ML) systems due to the massive amounts of labeled data required to train high-performance models.

Название: Scaling Python with Dask: From Data Science to Machine Learning (Fourth Release)
Автор: Holden Karau, Mika Kimmins
Издательство: O’Reilly Media, Inc.
Год: 2022-11-22
Страниц: 104
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Dask is a free and open source library for parallel computing in Python that helps you scale your data science and machine learning workflows. With this quick but thorough resource, data scientists and Python programmers will learn how Dask provides APIs that make it easy to parallelize PyData libraries like NumPy, Pandas, and Scikit-learn. Dask is a framework for parallelized computing with Python that scales from multiple cores on one machine to data centers with thousands of machines. It has both low-level task APIs and higher-level data-focused APIs. The low-level task APIs power Dask’s integration with a wide variety of Python libraries. Having public APIs has allowed an ecosystem of tools to grow around Dask for various use cases. Why Do You Need Dask? Dask simplifies scaling analytics and ML code written in Python, allowing you to handle larger and more complex data and problems.

Название: JAX in Action (MEAP v3)
Автор: Grigory Sapunov
Издательство: Manning Publications
Год: 2022
Страниц: 147
Язык: английский
Формат: pdf (true)
Размер: MB

Accelerate deep learning and other number-intensive tasks with JAX, Google’s awesome high-performance numerical computing library. The JAX numerical computing library tackles the core performance challenges at the heart of Deep Learning and other scientific computing tasks. By combining Google’s Accelerated Linear Algebra platform (XLA) with a hyper-optimized version of NumPy and a variety of other high-performance features, JAX delivers a huge performance boost in low-level computations and transformations. You’ll learn how to use JAX’s ecosystem of high-level libraries and modules, and also how to combine TensorFlow and PyTorch with JAX for data loading and deployment. The JAX Python mathematics library is used by many successful deep learning organizations, including Google’s groundbreaking DeepMind team. This exciting newcomer already boasts an amazing ecosystem of tools including high-level deep learning libraries Flax by Google, Haiku by DeepMind, gradient processing and optimization libraries, libraries for evolutionary computations, federated learning, and much more! JAX brings a functional programming mindset to Python deep learning, letting you improve your composability and parallelization in a cluster.

Название: Statistics Playbook: Real NBA data using R (MEAP v5)
Автор: Gary Sutton
Издательство: Manning Publications
Год: 2022
Страниц: 317
Язык: английский
Формат: pdf (true)
Размер: 11.2 MB

Learn statistics by analyzing professional basketball data! In this action-packed book, you’ll build your skills in exploratory data analysis by digging into the fascinating world of NBA games and player stats using the R language. Statistics Playbook upgrades your R data science skills by taking on practical analysis challenges based on NBA game and player data. Is losing games on purpose a rational strategy? Which hustle statistics have an impact on wins and losses? Each chapter in this one-of-a-kind guide uses new data science techniques to reveal interesting insights like these. And just like in the real world, you’ll get no clean pre-packaged datasets in Statistics Playbook. You’ll take on the challenge of wrangling messy data to drill on the skills that will make you the star player on any data team.

Название: Julia as a Second Language (MEAP v8)
Автор: Erik Engheim
Издательство: Manning Publications
Год: 2022
Страниц: 308
Язык: английский
Формат: pdf (true)
Размер: 12.1 MB

Learn Julia programming by building fun projects, like launching rockets, building password keepers, and even coding battle simulations. Don’t be put off by Julia’s reputation as a scientific programming language. There’s no data science or numerical computing knowledge required. You can get started with what you learned in high school math classes. Julia as a Second Language makes it easy to add Julia to your programming toolbox. You’ll learn about Julia’s type system and data structures by modeling the launch of a space rocket, use dictionaries to parse Roman numerals, discover tuples and arrays through tracking pizza sales, and use Julia’s unique multiple dispatch feature to send knights and archers into a simulated battle.

Название: Deep Learning Applications, Volume 4
Автор: M. Arif Wani, Vasile Palade
Издательство: Springer
Серия: Advances in Intelligent Systems and Computing
Год: 2023
Страниц: 394
Язык: английский
Формат: pdf (true)
Размер: 14.9 MB

Deep Learning systems, a class of multi-layered networks, are capable of automatically learning meaningful hierarchical representations from a variety of structured and unstructured data. Breakthroughs in Deep Learning (DL) allow us to generate new representations, extract knowledge, and draw inferences from raw images, video streams, text and speech, time series, and other complex data types. These powerful deep learning methods are being applied to new and exciting real-world problems in medical diagnostics, factory automation, public safety, environmental sciences, autonomous transportation, military applications, and much more. This book presents some applications of Deep Learning and includes novel architectures and Deep Learning techniques, which are described in fifteen chapters. Natural Language Processing (NLP) broadly describes the application of Computer Science and Machine Learning to natural language datasets, such as speech or text. The chapter "Language Models for Deep Learning Programming: A Case Study with Keras" explores the application of language models to programming languages and our work in constructing a dataset for the task. More particularly, we focus on the Keras programming language, a popular framework for implementing Deep Learning experiments.

Название: Hypermodern Python Tooling: Building Reliable Workflows for an Evolving Python Ecosystem (Early Release)
Автор: Claudio Jolowicz
Издательство: O’Reilly Media, Inc.
Год: 2022-11-01
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.2 MB

Keeping up with the Python ecosystem can be daunting. Its developer tooling doesn't provide the same out-of-the-box experience native to languages like Rust and Go. When it comes to long-term project maintenance or collaborating with others, every Python project faces the same problem: how to build reliable workflows beyond local development while staying in sync with the evolving ecosystem. With this hands-on guide, Python developers will learn how to forge the moving parts of a Python project into an easy-to-use toolchain, using state-of-the-art tools including Poetry, GitHub Actions, Dependabot, pytest, mypy, Flake8, and more. Author Claudio Jolowicz shows you how to create robust Python project structures, complete with unit tests, static analysis, code formatting, type checking, and documentation, as well as continuous integration and delivery.

Название: Делаем бота с Aiogram, SQLAlchemy (PostgreSQL) и Docker
Автор: Александр Бабаев
Издательство: Stepik
Год: 2022
Формат: PDF
Страниц: много
Размер: 37 Mb
Язык: Русский

Курс предназначен для людей, которые уже овладели языком Python, понимают что-такое ООП, хотят написать свой проект, но постоянно спотыкаются о непонимание работы с документацией библиотек/фреймворков и отсутствие идей для своего проекта.

Название: Artificial Intelligence for Cyber-Physical Systems Hardening
Автор: Issa Traore, Isaac Woungang, Sherif Saad
Издательство: Springer
Год: 2023
Страниц: 241
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

This book presents advances in security assurance for cyber-physical systems (CPS) and report on new Machine Learning (ML) and Artificial Intelligence (AI) approaches and technologies developed by the research community and the industry to address the challenges faced by this emerging field. Cyber-physical systems bridge the divide between cyber and physical-mechanical systems by combining seamlessly software systems, sensors, and actuators connected over computer networks. Through these sensors, data about the physical world can be captured and used for smart autonomous decision-making.