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Название: Explainable Artificial Intelligence in Medical Decision Support Systems
Автор: A. Lucky Imoize, Jude Hemanth, Dinh-Thuan Do, Samarendra Nath Sur
Издательство: The Institution of Engineering and Technology
Год: 2022
Страниц: 545
Язык: английский
Формат: pdf (true)
Размер: 27.3 MB

Medical decision support systems (MDSS) are computer-based programs that analyse data within a patient's healthcare records to provide questions, prompts, or reminders to assist clinicians at the point of care. Inputting a patient's data, symptoms, or current treatment regimens into an MDSS, clinicians are assisted with the identification or elimination of the most likely potential medical causes, which can enable faster discovery of a set of appropriate diagnoses or treatment plans. Explainable AI (XAI) is a "white box" model of Artificial Intelligence (AI) in which the results of the solution can be understood by the users, who can see an estimate of the weighted importance of each feature on the model's predictions, and understand how the different features interact to arrive at a specific decision. The healthcare sector is very interested in machine Learning (ML) and Artificial Intelligence (AI). Nevertheless, applying AI applications in scientific contexts is difficult due to explainability issues. Explainable AI (XAI) has been studied as a potential remedy for the problems with current AI methods.

Название: Algorithms, Humans, and Interactions: How Do Algorithms Interact with People? Designing Meaningful AI Experiences
Автор: Don Donghee Shin
Издательство: Routledge
Серия: Chapman & Hall/CRC Artificial Intelligence and Robotics Series
Год: 2023
Страниц: 217
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Algorithms are pervasive in our society, and we live and work with them and Artificial Intelligence (AI) – knowingly and unknowingly. This book presents current theories, techniques, methods, and various sociotechnical issues related to human–AI interaction. Tis book is a guide to understanding the dynamics of AI in human contexts by addressing some important questions: How do we ensure AI is used for our common good? How do humans and AI interact? How is AI shaping our understanding of ourselves and our societies? How do we bridge the gap between ethical considerations and practical realities to create responsible, reliable systems? Trough these questions, this book proposes a way to empower humans by enabling them to make choices about AI design, which allows them control over AI. Designing meaningful AI experiences has garnered great attention to address responsibility gaps and mitigate them by establishing conditions that enable the proper attribution of responsibility to humans.

Название: A Friendly Guide to Software Development: What You Should Know Without Being a Developer
Автор: Leticia Portella
Издательство: Apress
Год: 2023
Страниц: 312
Язык: английский
Формат: pdf (true), epub
Размер: 11.3 MB

Software is everywhere, but despite being so common and useful, it remains magical and mysterious to many. Still, more and more people are finding themselves working for tech companies, or with an array of software products, services, and tools. This can segregate those who understand tech from those that don’t. But it doesn’t have to be this way. This book aims to bring these two worlds closer together, allowing people to learn basic concepts of software development in a casual and straight-forward way. Assuming no previous technical knowledge, you’ll embark on a journey where you can understand and build a new software project from scratch until it is an advanced product with multiple users.

Название: App Development Using iOS iCloud: Incorporating CloudKit with Swift in Xcode
Автор: Shantanu Baruah, Shaurya Baruah
Издательство: Apress
Год: 2023
Страниц: 513
Язык: английский
Формат: pdf, epub
Размер: 12.8 MB

Create a professional looking app from start to finish that takes advantage of iCloud technology. Rather than working with Storyboarding for building your UI, you’ll use code to build professional looking screens. Using code is standard for professional developers to fit form factor alignment across multiple screen sizes and other design constraints. First, you’ll build a basic, functional UX screen. Then you’ll incorporate iCloud with CloudKit for data persistence and private, public, and shared databases. Here your code-drive UI design will expand out to developing professional looking screens with animation. You’ll also learn to work with reminder and notification boxes, sharing data between your users, and adding functionally for interaction with other Apps. Finally, you’ll tackle testing and using Test Flight before publishing your app to the App Store.

Название: D3 Modern Web Visualization: Exploratory Visualizations, Interactive Charts, 2D Web Graphics, and Data-Driven Visual Representations
Автор: Victor M Garcia Sanabria
Издательство: BPB Publications
Год: 2023
Страниц: 345
Язык: английский
Формат: epub
Размер: 10.2 MB

Picking the most appropriate tool is essential whenever you develop a dynamic chart online. D3.js is a clear winner here. The author of this book set out to delve deeply into the software engineering community's most widely used charting library. From data requests to scale and style, and even some experiment charts, you'll have a firm grasp on everything you need to know to create your charts. Even though the book covers the basics of D3.js from the beginning, it is not within the scope of the book to cover jаvascript fundamentals. Unfortunately, we would be diverting from the aim of the book if we had to stop to explain jаvascript and doing no one any favors. We will keep the code simple so that it is easy to follow, but if you get stuck at any point due to basics, please stop to check the part you do not know as well. So, it is clear that we are presuming some knowledge of jаvascript in order for you to be able to follow along.

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.