Название: Embedded C Coding Standard Автор: Michael Barr Издательство: Barr Group Год: 2018 Язык: английский Формат: pdf (true), djvu Размер: 14.5 MB
Barr Group's Embedded C Coding Standard was developed to help firmware engineers minimize defects in embedded systems. Unlike the majority of coding standards, this standard focuses on practical rules that keep bugs out - including techniques designed to improve the maintainability and portability of embedded software. The rules in this coding standard include a set of guiding principles, as well as specific naming conventions and other rules for the use of data types, functions, preprocessor macros, variables, and other C language constructs. Individual rules that have been demonstrated to reduce or eliminate certain types of defects are highlighted. The BARR-C standard is distinct from, yet compatible with, the MISRA C Guidelines for Use of the C Language in Critical Systems. Programmers can easily combine rules from the two standards as needed.
Название: Guide to Software Systems Development: Connecting Novel Theory and Current Practice Автор: Clive Rosen Издательство: Springer Год: 2020 Формат: true pdf/epub Страниц: 208 Размер: 14.5 Mb Язык: English
This book argues that the key problems of software systems development (SSD) are socio-technical rather than purely technical in nature. Software systems are unique. They are the only human artefacts that are both intangible and determinant. This presents unprecedented problems for the development process both in determining what is required and how it is developed. Primarily this is a problem of communications between stakeholders and developers, and of communications within the development team. Current solutions are not only inadequate in expressing the technical problem, they also evade the communications problems almost entirely.
Название: Grokking Deep Learning Автор: Andrew Trask Издательство: Manning Publications Год: 2019 Страниц: 335 Язык: английский Формат: pdf (true) Размер: 13.9 MB
Artificial Intelligence is one of the most exciting technologies of the century, and Deep Learning is in many ways the 'brain' behind some of the world's smartest Artificial Intelligence systems out there. Loosely based on neuron behavior inside of human brains, these systems are rapidly catching up with the intelligence of their human creators, defeating the world champion Go player, achieving superhuman performance on video games, driving cars, translating languages, and sometimes even helping law enforcement fight crime. Deep Learning is a revolution that is changing every industry across the globe. There are two major groups of deep learning educational material (such as books and courses). One group is focused around how to use popular frameworks and code libraries like Torch, TensorFlow, Keras, and others. The other group is focused around teaching deep learning itself, otherwise known as the science under the hood of these major frameworks. Ultimately, learning about both is important.
Название: Data Science for Beginners: 2 Books in 1: Deep Learning for Beginners + Machine Learning with Python- A Crash Course to Go Through the Artificial Intelligence Revolution, Python and Neural Networks Автор: Russel R. Russo Издательство: Amazon.com Services LLC Год: 2020 Страниц: 295 Язык: английский Формат: pdf, epub Размер: 10.1 MB
Are you fascinated by Data Science but it seems too complicated? Do you want to learn everything about Artificial Intelligence but it looks like it is an exclusive club? If this is you, please keep reading: you are in the right place, looking at the right book. SInce you are reading these lines you have probably already noticed this: Artificial Intelligence is all around you. Your smartphone that suggests you the next word you want to type, your Netflix account that recommends you the series you may like or Spotify’s personalised playlists. This is how machines are learning from you in everyday life. And these examples are only the surface of this technological revolution.
Название: Visual Object Tracking with Deep Neural Networks Автор: Pier Luigi Mazzeo, Srinivasan Ramakrishnan, Paolo Spagnolo Издательство: ITExLi Год: 2019 Страниц: 184 Язык: английский Формат: pdf (true) Размер: 35.2 MB
This volume is dedicated to visual object tracking (VOT) and face recognition (FR) and presents the state-of-the-art and new algorithms, methods, and systems of these research fields by using Deep Learning (DL). Visual object tracking (VOT) and face recognition (FR) are essential tasks in computer vision with various real-world applications including human-computer interaction, autonomous vehicles, robotics, motion-based recognition, video indexing, surveillance and security. This book presents the state-of-the-art and new algorithms, methods, and systems of these research fields by using deep learning.
Название: Machine Learning for Intelligent Decision Science Автор: Jitendra Kumar Rout, Minakhi Rout Издательство: Springer Серия: Algorithms for Intelligent Systems Год: 2020 Страниц: 219 Язык: английский Формат: pdf (true) Размер: 10.1 MB
The book discusses machine learning-based decision-making models, and presents intelligent, hybrid and adaptive methods and tools for solving complex learning and decision-making problems under conditions of uncertainty. Featuring contributions from data scientists, practitioners and educators, the book covers a range of topics relating to intelligent systems for decision science, and examines recent innovations, trends, and practical challenges in the field. The book is a valuable resource for academics, students, researchers and professionals wanting to gain insights into decision-making.
Название: C++ for Absolute Beginners: A Complete Beginners Guide To Learn The Fundamentals Of C++ Автор: Earl Triggs Издательство: Amazon.com Services LLC Год: 2017 Формат: EPUB, PDF Страниц: 109 Размер: 10 Mb Язык: English
Bjarne stroustrup developed c++ at bell labs inside the yr 1979. C++ is a middle degree programming language that supports varied platforms like mac osx, unix and home windows, in addition to 3 others. This e book is an introductory academic on c++ and is designed for novices with little to no heritage of the programming language. This e-book follows a practical and easy approach to c++. We've covered executable examples along side screenshots of the execution that will help you run the examples for your self and execute them.
Название: C# for absolute beginners: A Complete Beginners Guide To Learn The Fundamentals Of C# Автор: Earl Triggs Издательство: Amazon.com Services LLC Год: 2017 Формат: EPUB, PDF Страниц: 124 Размер: 10 Mb Язык: English
The c# programming language became developed as a part of the . Internet framework of microsoft. Anders hejlsberg led this initiative. C# can actually be defined as a contemporary, item-orientated, easy and preferred-reason programming language. This ebook is a amateur’s guide to c# and covers all of the primary ideas which you want to discover ways to start writing programs on this language.
Название: Easily: Practical Machine Learning Algorithms with Python Автор: Darrin Thomas Издательство: SuJinSoLa Год: 2020 Страниц: 169 Язык: английский Формат: pdf, epub Размер: 11.7 MB
Python is a highly popular language used in programming that has ca large influence in the field of data science. In this text, Darrin Thomas presents various ways to use Python for model development in the context of machine learning. Being able to comprehend the use of Python for data science is a valuable skill for anyone who must deal with data on a regular basis. One assumption of this text is that the readers is already familiar with Python and that they are able to comprehend and interpret the code in the examples.
Название: Deep Learning With Python: Advanced and Effective Strategies of Using Deep Learning with Python Theories Автор: Ethan Williams Издательство: Amazon.com Services LLC Год: 2020 Формат: PDF, EPUB Страниц: 181 Размер: 10 Mb Язык: English
This book discusses the intricacies of the internal workings of a deep learning model. It addresses the techniques and methods that can not only boost the productivity of your machine learning architectural skills, but also introduces new concepts. Implemented correctly, these can set your deep learning modela league apart from all other models.
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