Название: Low-Code AI: A Practical Project-Driven Introduction to Machine Learning (Final)
Автор: Gwendolyn Stripling, Michael Abel
Издательство: O’Reilly Media, Inc.
Год: 2023
Страниц: 325
Язык: английский
Формат: True EPUB (Retail Copy)
Размер: 14.9 MB

Take a data-first and use-case–driven approach with Low-Code AI to understand Machine Learning and Deep Learning concepts. This hands-on guide presents three problem-focused ways to learn no-code ML using AutoML, low-code using BigQuery ML, and custom code using scikit-learn and Keras. In each case, you'll learn key ML concepts by using real-world datasets with realistic problems. Business and data analysts get a project-based introduction to ML/AI using a detailed, data-driven approach: loading and analyzing data; feeding data into an ML model; building, training, and testing; and deploying the model into production. Authors Michael Abel and Gwendolyn Stripling show you how to build machine learning models for retail, healthcare, financial services, energy, and telecommunications. Artificial Intelligence (AI) can be defined as the broad field of study where computers show intelligence. The phrase “show intelligence” is vague; it could be interpreted as a computer making a decision that we would expect from a living being. In recent decades, another form of AI has become more ubiquitous. Machine learning (ML) is the discipline of having computers learn algorithms from the data provided rather than the programmer having to provide the algorithms. Another way to phrase this in contrast to expert systems is that ML is about using data to discover the rules versus having experts write the rules for you.

Название: Learning Data Science: Data Wrangling, Exploration, Visualization, and Modeling with Python (Final)
Автор: Sam Lau, Joseph Gonzalez, Deborah Nolan
Издательство: O’Reilly Media, Inc.
Год: 2023
Страниц: 594
Язык: английский
Формат: True EPUB (Retail Copy)
Размер: 15.7 MB

As an aspiring data scientist, you appreciate why organizations rely on data for important decisions—whether it's for companies designing websites, cities deciding how to improve services, or scientists discovering how to stop the spread of disease. And you want the skills required to distill a messy pile of data into actionable insights. We call this the data science lifecycle: the process of collecting, wrangling, analyzing, and drawing conclusions from data. Learning Data Science is the first book to cover foundational skills in both programming and statistics that encompass this entire lifecycle. It's aimed at those who wish to become data scientists or who already work with data scientists, and at data analysts who wish to cross the "technical/nontechnical" divide. If you have a basic knowledge of Python programming, you'll learn how to work with data using industry-standard tools like Pandas.

Название: Forecasting with Artificial Intelligence: Theory and Applications
Автор: Mohsen Hamoudia, Spyros Makridakis, Evangelos Spiliotis
Издательство: Palgrave Macmillan
Год: 2023
Страниц: 441
Язык: английский
Формат: pdf (true), epub
Размер: 22.1 MB

This book is a comprehensive guide that explores the intersection of Artificial Intelligence (AI) and forecasting, providing the latest insights and trends in this rapidly evolving field. This book explores the intersection of Artificial Intelligence (AI) and forecasting, providing an overview of the current capabilities and potential implications of the former for the theory and practice of forecasting. It contains 14 chapters that touch on various topics, such as the concept of AI, its impact on economic decision-making, traditional and machine learning-based forecasting methods, challenges in demand forecasting, global forecasting models, including key illustrations, state-of-the-art implementations, best practices and notable advances, meta-learning and feature-based forecasting, ensembling, Deep Learning, scalability in industrial and optimization applications, and forecasting performance evaluation.

Название: Nature-inspired Optimization Algorithms and Soft Computing: Methods, technology and applications for IoTs, smart cities, healthcare and industrial automation
Автор: Rajeev Arya, Sangeeta Singh, Maheshwari P. Singh, Brijesh R. Iyer
Издательство: The Institution of Engineering and Technology
Год: 2023
Страниц: 298
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

We have witnessed an explosion of research activity around nature-inspired computing and bio-inspired optimization techniques, which can provide powerful tools for solving learning problems and data analysis in very large data sets. To design and implement optimization algorithms, several methods are used that bring superior performance. However, in some applications, the search space increases exponentially with the problem size. To overcome these limitations and to solve efficiently large scale combinatorial and highly nonlinear optimization problems, more flexible and adaptable algorithms are necessary. Nature-inspired computing is oriented towards the application of outstanding information-processing aptitudes of the natural realm to the computational domain. The discipline of nature-inspired optimization algorithms is a major field of computational intelligence, soft computing and optimization. Metaheuristic search algorithms with population-based frameworks are capable of handling optimization in high-dimensional real-world problems for several domains including imaging, IoT, smart manufacturing, and healthcare. The book will offer valuable insights to researchers and scientists from academia and industry in ICTs, IT and Computer Science, Data Science, AI and Machine Learning, swarm intelligence and complex systems.

Название: Acing the Certified Kubernetes Administrator Exam (Final)
Автор: Chad M. Crowell
Издательство: Manning Publications
Год: 2023
Страниц: 386
Язык: английский
Формат: epub (true), mobi
Размер: 20.9 MB

Becoming a Kubernetes administrator is a big accomplishment—and passing the Certified Kubernetes Administrator (CKA) exam can be a big boost to your career! Learn the hands on skills you need to ace the exam with clear teaching and hands-on exercises that match the unique CKA test environment. Acing the Certified Kubernetes Administrator Exam is your fast-track to becoming a Certified Kubernetes Administrator! Your expert exam tutor is Chad Crowell, whose courses have helped thousands of developers to understand Kubernetes and earn the coveted CKA certification. If you’re familiar with Kubernetes, this book will ensure you’re ready to pass in just one month of study. If you’re brand new, this is the perfect primer to get started on your Kubernetes journey. Go hands-on with all the exam objectives, including deploying containerized applications to Kubernetes, accessing an application from an ingress resource, and backup and restore. Plus, essential exam tips and exercises help you work out your mental muscle memory. For readers who know the basics of containers and Linux admin. No Kubernetes experience required.

Название: Forecasting and Analytics with the Augmented Dynamic Adaptive Model (ADAM)
Автор: Ivan Svetunkov
Издательство: CRC Press
Год: 2024
Страниц: 494
Язык: английский
Формат: pdf (true)
Размер: 10.7 MB

Forecasting and Analytics with the Augmented Dynamic Adaptive Model (ADAM) focuses on a time series model in Single Source of Error state space form, called “ADAM” (Augmented Dynamic Adaptive Model). The book demonstrates a holistic view to forecasting and time series analysis using dynamic models, explaining how a variety of instruments can be used to solve real life problems. At the moment, there is no other tool in R or Python that would be able to model both intermittent and regular demand, would support both ETS and ARIMA, work with explanatory variables, be able to deal with multiple seasonalities (e.g. for hourly demand data) and have a support for automatic selection of orders, components and variables and provide tools for diagnostics and further improvement of the estimated model. ADAM can do all of that in one and the same framework. Given the rising interest in forecasting, ADAM, being able to do all those things, is a useful tool for data scientists, business analysts and Machine Learning experts who work with time series, as well as any researchers working in the area of dynamic models.

Название: Programs as Diagrams: From Categorical Computability to Computable Categories
Автор: Dusko Pavlovic
Издательство: Springer
Год: 2023
Страниц: 261
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

It is not always clear what computer programs mean in the various languages in which they can be written, yet a picture can be worth 1000 words, a diagram 1000 instructions. In this unique textbook/reference, programs are drawn as string diagrams in the language of categories, which display a universal syntax of mathematics (Computer scientists use them to analyze the program semantics; programmers to display the syntax of computations). Here, the string-diagrammatic depictions of computations are construed as programs in a single-instruction programming language. Such programs as diagrams show how functions are packed in boxes and tied by strings. Readers familiar with categories will learn about the foundations of computability; readers familiar with computability gain access to category theory. Additionally, readers familiar with both are offered many opportunities to improve the approach. While programmers program computers in a great variety of languages, mathematicians study mathematics in a great variety of completely different languages. A great variety of languages is a good thing, provided that the languages do not isolate but diversify the views of the world and that there are multi-lingual communities to connect them. Many mathematicians speak programming languages; many programmers are conversant with mathematics. The language of categories seems convenient for both, and to some extent connects the communities.

Название: R for Photobiology: Theory and recipes for common calculations
Автор: Pedro J. Aphalo, T. Matthew Robson, Titta Kotilainen
Издательство: Leanpub
Год: 16 April 2022
Страниц: 388
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Photobiology is the branch of science that studies the interactions of living organisms with visible and ultraviolet radiation. This book first presents the theory behind calculations related to research in photobiology and describes how to use R as a tool for carrying out these calculations. This handbook describes how to use R as a tool for doing calculations related to research in photobiology. Photobiology is the branch of science that studies the interactions of living organisms with visible and ultraviolet radiation. Many of the most frequently used calculations are either related to the characterization of radiation and of the responses of organisms to radiation. We emphasize the first of these aspects related to radiation quantification and the position of the sun. These include acquisition, processing and summarising of spectral data including the calculation of non-weighted and biologically effective exposures. The text and examples assume some familiarity with R and/or programming, but guides those readers new to the language to tutorials and books that will help them learn enough to follow, use and modify the code examples included in the book.

Название: Full Stack Web Development: The Comprehensive Guide
Автор: Philip Ackermann
Издательство: Rheinwerk Publishing
Год: 2023
Страниц: 800
Язык: английский
Формат: epub (true)
Размер: 20.1 MB

Full stack web developers are always in demand—do you have the skillset? Between these pages you’ll learn to design websites with CSS, structure them with HTML, and add interactivity with jаvascript. You’ll master the different web protocols, formats, and architectures and see how and when to use APIs, PHP, web services, and other tools and languages. With information on testing, deploying, securing, and optimizing web applications, you’ll get the full frontend and backend instructions you need! HTML, CSS, jаvascript, web services, databases, DevOps—are now requirements for all full stack developers. Of course, deciding where to start and what exactly to focus on can be difficult. This book is intended to serve as both a roadmap and a guidebook for you. The book is aimed primarily for newcomers to web development who want to gain a comprehensive overview of full stack development. Thus, you don’t need previous knowledge of HTML, CSS, and or programming. This book is designed to guide you on the path to becoming a full stack developer and effectively teach you the important technologies.

Название: Software Architecture and Decision-Making: Leveraging Leadership, Technology, and Product Management to Build Great Products (Early Release)
Автор: Srinath Perera
Издательство: Addison-Wesley Professional/Pearson
Год: 2023
Страниц: 234
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.2 MB

Leverage leadership knowledge to make better software architecture decisions. Think deeply but implement slowly. The overarching goal of software systems (hence, for software architecture) is to build systems that meet quality standards and that provide the highest return on investment (ROI) in the long run or within a defined period of time. A great product requires a combination of technology, leadership, and product management (including UX). Leadership is primarily about managing uncertainty and making the right judgment. To build great products, technical leaders need to combine technology, leadership, and product management knowledge, and make the right decisions. Many technical mistakes come from the gap between knowledge about these three items and judgment. In Software Architecture and Decision-Making, Srinath Perera explains principles and concepts that software architects must understand deeply and how to employ those principles to manage uncertainty. The questions and principles discussed in this book help manage uncertainty while building software architecture and provide a framework for making decisions.