Название: The Elements of Voice First Style: A Practical Guide to Voice User Interface Design (Early Release)
Автор: Ahmed Bouzid, Weiye Ma
Издательство: O’Reilly Media, Inc.
Год: 2021-11-16
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

If you're a new or experienced designer of conversational voice-first experiences, this handy reference provides actionable answers to key aspects of eyes-busy, hands-busy, voice-only user interfaces. Designed as a companion to books about conversational voice design, this guide includes important details regarding eyes-free, hands-free, voice-only interfaces delivered by Amazon Echo, Google Nest, and a variety of in-car experiences.

Название: Geostatistics for Compositional Data with R
Автор: Raimon Tolosana-Delgado, Ute Mueller
Издательство: Springer
Год: 2021
Формат: PDF
Страниц: 275
Размер: 28 Mb
Язык: English

This book provides a guided approach to the geostatistical modelling of compositional spatial data. These data are data in proportions, percentages or concentrations distributed in space which exhibit spatial correlation. The book can be divided into four blocks. The first block sets the framework and provides some background on compositional data analysis. Block two introduces compositional exploratory tools for both non-spatial and spatial aspects.

Название: Handbook of Machine Learning, Volume 1-2
Автор: Tshilidzi Marwala, Collins Achepsah Leke
Издательство: World Scientific Publishing
Год: 2019-2020
Страниц: 329+321
Язык: английский
Формат: pdf (true)
Размер: 21.2 MB

This is a comprehensive book on the theories of Artificial Intelligence with an emphasis on their applications. It combines fuzzy logic and neural networks, as well as hidden Markov models and genetic algorithm, describes advancements and applications of these Machine Learning techniques and describes the problem of causality. This book should serve as a useful reference for practitioners in Artificial Intelligence (AI).

Название: A Greater Foundation for Machine Learning Engineering: The Hallmarks of the Great Beyond in Pytorch, R, Tensorflow, and Python
Автор: Ganapathi Pulipaka
Издательство: Xlibris US
Год: 2021
Страниц: 568
Язык: английский
Формат: epub
Размер: 20.6 MB

The simple models of supervised Machine Learning with Gaussian Naïve Bayes, Naïve Bayes, decision trees, classification rule learners, linear regression, logistic regression, local polynomial regression, regression trees, model trees, K-nearest neighbors, and support vector machines lay a more excellent foundation for statistics. A Greater Foundation of Machine Learning Engineering covers a broad range of classical linear algebra and calculus with program implementations in PyTorch, TensorFlow, R, and Python with in-depth coverage. Though the book title suggests Machine Learning, there are several implementations of deep learning algorithms, including deep reinforcement learning.

Название: Data-Driven Agility: A Rigorous Approach to Software Delivery
Автор: Justice Conder
Издательство: Independently published
Год: 2021
Язык: английский
Формат: epub
Размер: 10.1 MB

What if I told you there was a way to measure and optimize software delivery performance independent of any particular agile framework and to do so in a way that was empirically and mathematically based? That is the aim of this book. Using quantitative rigor combined with the principles of influence through transparency, we'll unpack an approach to software delivery that can dramatically improve the stability and predictability of your process. This book represents the first draft of the structure of those ideas. There is an adage in software development that says “If you are not embarrassed by the first version of your product, you've launched too late.” It is in line with this principle that I have decided to publish this early formulation of these thoughts.

Название: Visual Object Tracking from Correlation Filter to Deep Learning
Автор: Weiwei Xing, Weibin Liu, Dun Wang
Издательство: Springer
Год: 2021
Страниц: 202
Язык: английский
Формат: pdf (true)
Размер: 10.16 MB

The book focuses on visual object tracking systems and approaches based on correlation filter and Deep Learning. Both foundations and implementations have been addressed. The algorithm, system design and performance evaluation have been explored for three kinds of tracking methods including correlation filter based methods, correlation filter with deep feature based methods, and deep learning based methods. Firstly, context aware and multi-scale strategy are presented in correlation filter based trackers; then, long-short term correlation filter, context aware correlation filter and auxiliary relocation in SiamFC framework are proposed for combining correlation filter and deep learning in visual object tracking; finally, improvements in deep learning based trackers including Siamese network, GAN and reinforcement learning are designed. The goal of this book is to bring, in a timely fashion, the latest advances and developments in visual object tracking, especially correlation filter and Deep Learning based methods.

Название: C and Python Applications Embedding Python Code in C Programs, SQL Methods, and Python Sockets
Автор: Philip Joyce
Издательство: Apress
Год: 2022
Страниц: 241
Язык: английский
Формат: pdf (true), epub
Размер: 10.3 MB

Solve problems by embedding Python code in a C programs, SQL methods, Python sockets. This book uses rudimentary mathematics and basic programming to create practical Python applications for embedding. You'll start with an introduction to C and Python, assuming a fundamental understanding of what programming is. You will also review the basics of the database management language, SQL. You will learn how to use SQL from a C program and from a Python program. C and Python have different programming strengths, and you will learn how to write a Python program embedded within a C program to profit from the strength of each, in one program.

Название: State of the Art on Grammatical Inference Using Evolutionary Method
Автор: Hari Mohan Pandey
Издательство: Academic Press/Elsevier
Год: 2022
Страниц: 230
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

State of the Art on Grammatical Inference Using Evolutionary Method presents an approach for Grammatical Inference (GI) using evolutionary algorithms. Grammatical inference deals with the standard learning procedure to acquire grammars based on evidence about the language. It has been extensively studied due to its high importance in various fields of engineering and science. The book's prime purpose is to enhance the current state-of-the-art of grammatical inference methods and present new evolutionary algorithms-based approaches for context free grammar induction. Grammatical inference, that is, learning a formal grammar from a set of observations, has many practical applications. These arise in natural language processing (NLP), robotics and control systems, structural pattern recognition, computational linguistics, automatic translation, computational biology, inductive logic programming, document management, compression, applications to time series, data mining, and many other areas.

Название: Computer Vision and Recognition Systems Using Machine and Deep Learning Approaches: Fundamentals, technologies and applications
Автор: Chiranji Lal Chowdhary, Mamoun Alazab
Издательство: The Institution of Engineering and Technology
Год: 2021
Страниц: 505
Язык: английский
Формат: pdf (true)
Размер: 36.8 MB

Computer vision is an interdisciplinary scientific field that deals with how computers obtain, store, interpret and understand digital images or videos using Artificial Intelligence (AI) based on neural networks, Machine Learning and Deep Learning methodologies. They are used in countless applications such as image retrieval and classification, driving and transport monitoring, medical diagnostics and aerial monitoring. Computer vision, pattern recognition, Deep Learning (DL), expert systems, cognitive computing, and the Internet of things are some of the innovations and terminologies that have sprung up as Artificial Intelligence (AI) has grown in popularity. Among these, computer vision is one of the innovations that allow computers to perceive and comprehend the visual world.

Название: SOLID : The Software Design and Architecture Handbook: Learn to write testable, flexible & maintainable code (Updated 2021)
Автор: Khalil Stemmler
Издательство: solidbook.io
Год: 2021
Страниц: 653
Язык: английский
Формат: pdf (true)
Размер: 30.2 MB

This book is for any developer that feels like their code gets worse instead of better over time. What you’re reading is a handbook that teaches professional software developers tThis book has two goals. The first is show you the common unknown unknowns of software design and architecture from clean code to micro-services and from object design to Domain-Driven Design. The second part is to present you with the most influential ideas and practical, actionable wisdom from the phronimos — our teachers— on how write testable, flexible, maintainable code.