Название: Bayesian Modeling of Spatio-Temporal Data with R
Автор: Sujit K. Sahu
Издательство: CRC Press
Год: 2022
Формат: PDF
Страниц: 434
Размер: 61 Mb
Язык: English

Applied sciences, both physical and social, such as atmospheric, biological, climate, demographic, economic, ecological, environmental, oceanic and political, routinely gather large volumes of spatial and spatio-temporal data in order to make wide ranging inference and prediction. Ideally such inferential tasks should be approached through modelling, which aids in estimation of uncertainties in all conclusions drawn from such data. Unified Bayesian modelling, implemented through user friendly software packages, provides a crucial key to unlocking the full power of these methods for solving challenging practical problems.

Название: Python for Beginners: Data Analysis, Machine Learning, and Data Science Projects. A Crash Course in Python for Absolute Beginners (2022 Guide)
Автор: Ike Beck
Издательство: Amazon.com Services LLC
Год: 2021
Страниц: 100
Язык: английский
Формат: pdf, epub
Размер: 15.5 MB

Python is a popular language of programming that is taught and used in both academic institutions and businesses. Python's allure is hidden behind the fact that it has a plethora of applications in a variety of industries. Python is disliked by the majority of people because it is used to create artificial intelligence models. They are concerned that these Python-powered AI models will drive people out of multiple industries and take their jobs. They give the example of Tesla's driverless taxi project, in which Tesla pretends to replace Uber's taxis in the US market. The truth, on the other hand, is quite different. Indeed, Python-based AI models will create far more jobs than they will eliminate. Creating these models, for example, will become its own industry.

Название: Artificial Intelligence in Precision Health: From Concept to Applications
Автор: Debmalya Barh, PhD
Издательство: Academic Press, Elsevier
Год: 2020
Страниц: 530
Язык: английский
Формат: pdf (true)
Размер: 17.6 MB

Artificial Intelligence in Precision Health: From Concept to Applications provides a readily available resource to understand Artificial Intelligence (AI) and its real time applications in precision medicine in practice. Written by experts from different countries and with diverse background, the content encompasses accessible knowledge easily understandable for non-specialists in computer sciences. The book discusses topics such as cognitive computing and emotional intelligence, Big Data analysis, clinical decision support systems, Deep Learning, personal omics, digital health, predictive models, prediction of epidemics, drug discovery, precision nutrition and fitness. Computational approaches such as genetic algorithm, support vector machines, artificial neural network, decision trees, natural language processing, hybrid methods, cognitive computing, etc., introduced Artificial Intelligence (AI) into health care, which became a game changer in personalized medicine or precision health care in terms of time, cost, and personalization.

Название: Handbuch Infrastructure as Code: Prinzipien, Praktiken und Patterns für eine cloudbasierte IT-Infrastruktur
Автор: Kief Morris
Издательство: O’Reilly Media, Inc.
Год: 2022
Страниц: 450
Язык: немецкий
Формат: pdf, epub
Размер: 12,7 MB

Cloud-Infrastrukturen erfolgreich automatisieren: Strategien für die Praxis. In diesem praktischen Handbuch beschreibt Kief Morris von ThoughtWorks, wie Sie Ihre IT-Infrastruktur im Cloud-Zeitalter erfolgreich aufsetzen und betreiben. Sie erfahren, wie Sie hierfür die von zahlreichen DevOps-Teams entwickelten und erprobten Prinzipien, Praktiken und Patterns nutzen können.

Название: Data Structure and Algorithmic Thinking: Self-Driving Car
Автор: Khoo Kay Yong
Издательство: E-Learn Dot Com Limited
Серия: Coding with Micro:bits
Год: 2021
Страниц: 133
Язык: английский
Формат: pdf, epub
Размер: 16.4 MB

Data Structure is a way of collecting and organising data in such a way that we can perform operations on these data in an effective way. Data structure is about rendering data elements in terms of some relationship, for better organisation and storage. For example, we have some data which has, distance and location in the example. The "location" is of String data type and distance is of integer data type. An algorithm is a method to solve problem that consists of exactly a list of rules with a well-defined sequence to follow in order to solve the problem. Algorithmic thinking consists a pool of abilities: to analyse a given problem, to specify the problem precisely, to find the basic actions that are adequate to the given problem, to construct a correct algorithm to a given problem using the workable actions, to think about all possible cases of a problem and to improve the efficiency of an algorithm. In this module, Algorithm Skills and Data Structure are added into a story. The learners will apply their algorithmic thinking skills to analyse the movement of a robot, i.e., the beginning and the ending, to specify the steps and the directions of the movements, then he/she will code the robot and to execute and find out the answers.

Название: Data Structure and Algorithmic Thinking with Python: Data Structure and Algorithmic Puzzles 2020
Автор: Narasimha Karumanchi
Издательство: CareerMonk Publications
Год: 2020
Страниц: 436
Язык: английский
Формат: pdf
Размер: 10.2 MB

The study of algorithms and data structures is central to understanding what computer science is all about. Learning computer science is not unlike learning any other type of difficult subject matter. The only way to be successful is through deliberate and incremental exposure to the fundamental ideas. A beginning computer scientist needs practice so that there is a thorough understanding before continuing on to the more complex parts of the curriculum. In addition, a beginner needs to be given the opportunity to be successful and gain confidence. This textbook is designed to serve as a text for a first course on data structures and algorithms. In this book, we cover abstract data types and data structures, writing algorithms, and solving problems. We look at a number of data structures and solve classic problems that arise. The tools and techniques that you learn here will be applied over and over as you continue your study of computer science. All the code in this book are written in Python. It contains many programming puzzles that not only encourage analytical thinking, but also prepares readers for interviews.

Название: Introduction to TensorFlow Using Python
Автор: Soam Desai
Издательство: Amazon.com Services LLC
Год: 2021
Страниц: 126
Язык: английский
Формат: pdf, azw, epub
Размер: 10.7 MB

Introduction to TensorFlow Using Python provides an introduction to using TensorFlow with Python in easy bite sized pieces that any beginner or novice can understand. Filled with simple and straightforward working examples, the book aims to introduce the reader to the wonderful world of machine learning. Follow along for an adventure in coding and solving problems! This book is meant for the beginner who has some basic coding knowledge; however, if you don’t have any coding experience, you can still tag along and learn a thing or two. This book guides you through the entire process. The TensorFlow website defines TensorFlow as an “end-to-end open-source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications”. TensorFlow has been used by many professionals around the globe and is the most popular deep learning/machine learning library to date. The library is available in many different programming languages, but we are going to be using the Python library because we’re going to be using Python.

Название: Введение в программирование на PHP5
Автор: Флойд К.С.
Издательство: ИНТУИТ
Год: 2021
Cтраниц: 280
Формат: pdf
Размер: 28 мб
Язык: русский

В учебном пособии рассмотрены основы Web-дизайна, основная структура документа, данные PHP, структуры принятия решений, циклические структуры, повторное использование кода и функции, базовая обработка форм, сеансы, доступ к базам данных, к базе данных MySQL, к файлам и папкам, отправка E-mail, приложение PHP E-Commerce, справочник SQL. Издание предназначено для студентов, обучающихся по направлениям подготовки, связанным с информатикой и информационными технологиями, а также для всех, кто занимается изучением программирования на РНР5.

Название: Основы программирования на языке Python
Автор: Буйначев С.К., Боклаг Н.Ю.
Издательство: Екатеринбург: Изд-во Урал. ун-та
Год: 2014
Страниц: 92
ISBN: 978-5-7996-1198-9
Формат: PDF
Размер: 10.1 Мб
Язык: русский

Пособие содержит начальные сведения о программировании на языке Python и является основой для изучения курса «Численные методы и оптимизация». Собраны сведения из книг таких известных авторов, как Г. Россум, М. Лутц, Р. Сузи, Д. Бизли, А. Лесса. Предложен новый подход к использованию баз данных для накопления результатов расчета с дальнейшим анализом и визуализацией решений.

Название: MATLAB Polyspace Code Prover User’s Guide
Автор: MathWorks
Издательство: MathWorks
Год: 2021
Формат: PDF
Страниц: 1062
Размер: 10 Mb
Язык: English

Polyspace® Code Prover™ is a sound static analysis tool that proves the absence of overflow, divide-by-zero, out-of-bounds array access, and other run-time errors in C and C++ source code. It produces results without requiring program execution, code instrumentation, or test cases. Polyspace Code Prover uses semantic analysis and abstract interpretation based on formal methods to verify software interprocedural, control, and data flow behavior. You can use it to verify handwritten code, generated code, or a combination of the two. Each code statement is color-coded to indicate whether it is free of run-time errors, proven to fail, unreachable, or unproven.