Название: Введение в специальность. Лекции по дисциплине
Автор: Хеннер Е.К.
Издательство: Пермь: ПГНИУ
Год: 2021
Страниц: 247
Язык: русский
Формат: pdf
Размер: 40.2 MB

Учебное пособие представляет собой курс лекций по дисциплине «Введение в специальность». Предназначено для студентов бакалавриата очной и заочной формы обучения направлений подготовки «Фундаментальная информатика и информационные технологии» и «Информационные системы и технологии», изучающих дисциплину «Введение в специальность». Учебное пособие будет полезно студентам других направлений и специальностей сферы информатики, информационных систем и технологий. Программирование - важнейший раздел информатики, необходимый элемент многих ИТ-профессий и главный для группы профессий, обобщенно называемой «программист». В лекции 13 в предельно сжатом виде дается обзор базовых идей программирования. Обсуждение такой ключевой парадигмы, как объектно-ориентированное программирование, будет продолжено в лекции 14. Существует огромное количество языков программирования.

Название: Fundamentals of Image Data Mining: Analysis, Features, Classification and Retrieval, 2nd Edition
Автор: Dengsheng Zhang
Издательство: Springer
Год: 2021
Формат: PDF
Страниц: 382
Размер: 14 Mb
Язык: English

This unique and useful textbook presents a comprehensive review of the essentials of image data mining, and the latest cutting-edge techniques used in the field. The coverage spans all aspects of image analysis and understanding, offering deep insights into areas of feature extraction, machine learning, and image retrieval. The theoretical coverage is supported by practical mathematical models and algorithms, utilizing data from real-world examples and experiments.

Название: Handbook of Reinforcement Learning and Control
Автор: Kyriakos G. Vamvoudakis, Yan Wan, Frank L. Lewis
Издательство: Springer
Год: 2021
Страниц: 839
Язык: английский
Формат: pdf (true)
Размер: 20.1 MB

This handbook presents state-of-the-art research in reinforcement learning, focusing on its applications in the control and game theory of dynamic systems and future directions for related research and technology. The contributions gathered in this book deal with challenges faced when using learning and adaptation methods to solve academic and industrial problems, such as optimization in dynamic environments with single and multiple agents, convergence and performance analysis, and online implementation. They explore means by which these difficulties can be solved, and cover a wide range of related topics

Название: Methodologies and Applications of Computational Statistics for Machine Intelligence
Автор: Debabrata Samanta, Raghavendra Rao Althar, Sabyasachi Pramanik, Soumi Dutta
Издательство: IGI Global
Год: 2021
Формат: PDF
Страниц: 303
Размер: 19,3 Mb
Язык: English

With the field of computational statistics growing rapidly, there is a need for capturing the advances and assessing their impact. Advances in simulation and graphical analysis also add to the pace of the statistical analytics field. Computational statistics play a key role in financial applications, particularly risk management and derivative pricing, biological applications including bioinformatics and computational biology, and computer network security applications that touch the lives of people. With high impacting areas such as these, it becomes important to dig deeper into the subject and explore the key areas and their progress in the recent past.

Название: The Alignment Problem: Machine Learning and Human Values
Автор: Brian Christian
Издательство: W. W. Norton & Company
Год: 2020
Страниц: 510
Размер: 10.03 МБ
Формат: PDF
Язык: English

Today’s “machine-learning” systems, trained by data, are so effective that we’ve invited them to see and hear for us?and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem.

Название: Domain-Specific Languages in Practice: with JetBrains MPS
Автор: Antonio Bucchiarone, Antonio Cicchetti
Издательство: Springer
Год: 2021
Страниц: 342
Язык: английский
Формат: pdf (true)
Размер: 33.4 MB

This book covers several topics related to domain-specific language (DSL) engineering in general and how they can be handled by means of the JetBrains Meta Programming System (MPS), an open source language workbench developed by JetBrains over the last 15 years. The book begins with an overview of the domain of language workbenches, which provides perspectives and motivations underpinning the creation of MPS. Moreover, technical details of the language underneath MPS together with the definition of the tool’s main features are discussed.The remaining ten chapters are then organized in three parts, each dedicated to a specific aspect of the topic.

Название: AI for Healthcare with Keras and Tensorflow 2.0
Автор: Anshik
Издательство: Apress
Год: 2021
Формат: PDF
Страниц: 391
Размер: 12 Mb
Язык: English

This book begins by explaining the dynamics of the healthcare market, including the role of stakeholders such as healthcare professionals, patients, and payers. Then it moves into the case studies. The case studies start with EHR data and how you can account for sub-populations using a multi-task setup when you are working on any downstream task. You also will try to predict ICD-9 codes using the same data. You will study transformer models. And you will be exposed to the challenges of applying modern ML techniques to highly sensitive data in healthcare using federated learning.

Название: Python Programming: A Visual Journey for the Beginner: For Teachers, Students and Parents 2nd Edition
Автор: K. E. Jrgensen & S. A. Dahl
Издательство: Jorgensen Matematiske Ressurser
Год: 2021
Формат: True PDF
Страниц: 187
Размер: 10 Mb
Язык: English

A Self-instructive and Easy to Read Visual Introduction to Programming
Visual focus: A strong focus on visual learning increases the student's motivation, encourages creativity and inspires the student to solve exciting problems!
Easy to read: Unnecessary explanations are thrown away. We invite the student to make discoveries on his own, and explain the patterns he discovers in his own words.
Solve problems: This book presents you with the tools to be better at solving problems, such as drawing a chessboard with programming or figuring out a particular game strategy.

Название: Financial Theory with Python (Early Release)
Автор: Yves Hilpisch
Издательство: O’Reilly Media
Год: 2021-06-24: First Release
Формат: ePUB
Страниц: 144
Размер: 10 Mb
Язык: English

Nowadays, finance, mathematics, and programming are intrinsically linked. Financial Theory with Python provides relevant foundations of each discipline to give you the major tools you need to get started in the world of computational finance.
Using an approach where mathematical concepts provide the common background against which financial ideas and programming techniques are learned, Financial Theory with Python teaches you the basics of financial economics. Written by the bestselling author of Python for Finance, Yves Hilpisch, this practical guide explains financial, mathematical, and Python programming concepts in an integrative manner so that the interdisciplinary concepts reinforce each other.

Название: Building Cloud Data Architecture: Engineer Scalable, Efficient, and Cost-Effective Data Systems (Early Release)
Автор: Sahil Jhangiani
Издательство: O’Reilly Media, Inc.
Год: 2021-06-23
Язык: английский
Формат: epub
Размер: 10.1 MB

As mentioned in the preface, there are three major players in the cloud provider space at the time of writing: Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure. According to a report from Gartner, AWS has the largest market share. This is mostly due to its first mover advantage and its ability to lock in customers once they start building infrastructure/services within the AWS platform. AWS is followed by Azure, and then GCP in overall market share. Although there are many cloud computing companies out there, this book mostly focuses on the big three, with a slight emphasis on AWS since it holds far more market share than Azure and GCP combined.