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Название: D3 Start to Finish : Learn how to make a custom data visualisation using D3.js
Автор: Peter Cook
Издательство: Leanpub
Год: 2022-10-17
Страниц: 260
Язык: английский
Формат: pdf (true), epub
Размер: 10.2 MB

D3 Start to Finish teaches you how to build a custom, interactive and beautiful data visualisation using the jаvascript library D3.js (versions 6 and 7). The book covers D3 concepts such as selections, joins, requests, scale functions, event handling and transitions. It also covers general web development techniques such as state management and modularisation. In other words, everything you need to know to build a real world, custom data visualisation. You'll also learn how to put these concepts into practice by building an interactive data visualisation called Energy Explorer. This is a custom data visualisation that visualises the energy mix of 141 countries. There are 15 separate build steps and you're taken through each step in detail. There's also a code download link for all 15 steps so you can follow along. To get the most out of this book you need to be familiar with HTML, SVG, CSS and jаvascript. You’ll also need a text editor (such as VS Code or Brackets), a local web server and a web browser. The book contains two appendices that help you get these set up.

Название: Artificial Intelligence for Disease Diagnosis and Prognosis in Smart Healthcare
Автор: Ghita Kouadri Mostefaoui, S.M. Riazul Islam, Faisal Tariq
Издательство: CRC Press
Год: 2023
Страниц: 328
Язык: английский
Формат: pdf (true)
Размер: 25.5 MB

Artificial Intelligence (AI) in general and Machine Learning (ML) and Deep Learning (DL) in particular and related digital technologies are a couple of fledging paradigms that next-generation healthcare services are sprinting towards. These digital technologies can transform various aspects of healthcare, leveraging advances in computing and communication power. With a new spectrum of business opportunities, AI-powered healthcare services will improve the lives of patients, their families, and societies. However, the application of AI in the healthcare field requires special attention given the direct implication with human life and well-being. Rapid progress in AI leads to the possibility of exploiting healthcare data for designing practical tools for automated diagnosis of chronic diseases such as dementia and diabetes. The general concept of deep learning-based architectures is presented. Additionally, some samples of Python codes in each step are provided so that you can comfortably and easily apply the Keras, Tensorflow, Scikit-learn, and OpenCV libraries with Python programming language to design your own automated system by following the steps and then train and evaluate them.

Название: C++ & Python Tricks And Tips - 13th Edition, 2023
Автор: Papercut
Издательство: Papercut Ltd
Год выхода: 2023
Страниц: 78
Формат: PDF
Язык: английский
Размер: 37 MB

C++ & Python Tricks and Tips is the first and only choice if you are new adopter and want to learn everything you’ll need to get started with coding and programming. This independent manual is crammed with helpful guides and step-by-step fully illustrated tutorials, written in plain easy to follow English. Over the pages of this new user guide you will clearly learn all you need to know about coding your own amazing apps. With this unofficial instruction manual at your side no problem will be unsolvable, no question unanswered as you learn, explore and enhance your programming skills.

Название: Applications in Reliability and Statistical Computing
Автор: Hoang Pham
Издательство: Springer
Год: 2023
Страниц: 310
Язык: английский
Формат: pdf (true), epub
Размер: 42.6 MB

This book discusses practical applications of reliability and statistical methods and techniques in various disciplines, using Machine Learning, Artificial Intelligence, optimization, and other computation methods. Bringing together research from international experts, each chapter aims to cover both methods and practical aspects on reliability or statistical computations with emphasis on applications. This book explores the era of Big Data through reliability and statistical computing, showcasing how almost all applications in our daily life have experienced a dramatic shift in the past two decades to a truly global industry. The requirement for Software Reliability Growth Models (SRGMs) has increased exponentially in response to the growing demand for strong and reliable software systems. During the testing phase of the Software Development Life Cycle (SDLC), SRGMs are particularly effective for estimating fault content, minimizing testing expenses, and maximizing software reliability. The DSS is developed in Python utilizing several well-known packages such as Numpy, Scipy, Tkinter, and Pandas.

Название: Laravel Concepts, Part I, II
Автор: Martin Joo
Издательство: Independently published
Год: 2023
Страниц: 146 + 123
Язык: английский
Формат: pdf + code
Размер: 10.38 MB

With this guide, you can learn about ideas and concepts that recur on a daily basis in our job. 100% practice, 0% bullsh*t. "Laravel Concepts" is a two-part collection of different ideas and concepts that recur on a daily basis in our job. Part I covers the following concepts in 146 pages: - SOLID principles in Laravel with practical and easy-to-understand examples; - Building a dashboard with lots of numbers and sales-related data; - Handling discounts and coupons. It's a challenge that becomes a monster if done wrong; - Working with 3rd parties. Almost every application needs to integrate with external services. Let's do it right!; - Custom fields. If your application has a lot of customization you can benefit a lot from this concept.

Название: Introduction To Conformal Prediction With Python: A Short Guide For Quantifying Uncertainty Of Machine Learning Models
Автор: Christoph Molnar
Издательство: Leanpub
Год: 2023-02-14
Страниц: 101
Язык: английский
Формат: pdf (true), epub
Размер: 11.8 MB

This book teaches you how to quantify the uncertainty of machine learning models with conformal prediction in Python. Introduction To Conformal Prediction With Python is the quickest way to learn an easy-to-use and very general technique for uncertainty quantification. This book is for data scientists, statisticians, machine learners and all other modelers who want to learn how to quantify uncertainty with conformal prediction. Even if you already use uncertainty quantification in one way or another, conformal prediction is a valuable addition to your toolbox.

Название: Data Science and Predictive Analytics: Biomedical and Health Applications using R (2nd Edition)
Автор: Ivo D. Dinov
Издательство: Springer
Год: 2023
Страниц: 940
Язык: английский
Формат: pdf (true)
Размер: 49.4 MB

This textbook integrates important mathematical foundations, efficient computational algorithms, applied statistical inference techniques, and cutting-edge Machine Learning approaches to address a wide range of crucial biomedical informatics, health analytics applications, and decision science challenges. Each concept in the book includes a rigorous symbolic formulation coupled with computational algorithms and complete end-to-end pipeline protocols implemented as functional R electronic markdown notebooks. These workflows support active learning and demonstrate comprehensive data manipulations, interactive visualizations, and sophisticated analytics. The content includes open problems, state-of-the-art scientific knowledge, ethical integration of heterogeneous scientific tools, and procedures for systematic validation and dissemination of reproducible research findings.

Название: The Kubernetes Book 2023 Edition
Автор: Nigel Poulton
Издательство: Leanpub
Год: 2023-01-31
Страниц: 291
Язык: английский
Формат: pdf (true), epub
Размер: 32.1 MB

This is a book about Kubernetes - no prior knowledge required! Containers are here and resistance is futile! Now that people are getting their heads around Docker, they need an orchestration platform to help them manage their containerized apps. Kubernetes has emerged as one of the hottest and most important container orchestration platforms in the world. This book gets you up to speed fast! It's designed to teach you the theory and the practical as fast as possible so that you can hit the ground running with your first Kubernetes deployment. Kubernetes is an application orchestrator. For the most part, it orchestrates containerized cloud-native microservices apps. That’s a lot of buzzwords, so let’s take some time to clarify some jargon. And the best part about Kubernetes… it does all of this orchestration without you having to supervise or get involved. Obviously, you have to set things up in the first place, but once you’ve done that, you sit back and let Kubernetes work its magic.

Название: iOS Architecture Patterns: MVC, MVP, MVVM, VIPER, and VIP in Swift
Автор: Raul Ferrer García
Издательство: Apress
Год: 2023
Страниц: 400
Язык: английский
Формат: pdf
Размер: 10.16 MB

Develop well-structured applications using tested techniques and patterns. When you start to develop an application, you not only have to think about the idea of the finished application, but also about how it will evolve as it is built. This book shows you how to plan for changes, scope creep, and for the possibility of other developers joining in. Start by learning what architecture patterns for an application are. You’ll find out why it’s important for your applications to be based on these patterns and which ones are the most common. Then you’ll look at the MVC as one of the best known and used patterns. You’ll see how and when it can be implemented in your applications, as well as its advantages and disadvantages. Developers with some programming knowledge who want to learn different architecture patterns, those who already have more experience and are looking for a starting point on complex patterns such as VIPER or VIP, and beginner programmers.

Название: Applications of Machine Learning and Deep Learning on Biological Data
Автор: Faheem Masoodi, Mohammad Quasim, Syed Nisar Hussain Bukhari
Издательство: CRC Press
Год: 2023
Страниц: 211
Язык: английский
Формат: pdf (true)
Размер: 10.18 MB

The automated learning of machines characterizes Machine Learning (ML). It focuses on making data-driven predictions using programmed algorithms. ML has several applications, including bioinformatics, which is a discipline of study and practice that deals with applying computational derivations to obtain biological data. It involves the collection, retrieval, storage, manipulation, and modeling of data for analysis or prediction made using customized software. Previously, comprehensive programming of bioinformatical algorithms was an extremely laborious task for such applications as predicting protein structures. Now, algorithms using ML and Deep Learning (DL) have increased the speed and efficacy of programming such algorithms.