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: Modern Survey Analysis: Using Python for Deeper Insights
: Walter R. Paczkowski
: Springer
: 2022
: PDF
: 365
: 15,6 Mb
: English

This book develops survey data analysis tools in Python, to create and analyze cross-tab tables and data visuals, weight data, perform hypothesis tests, and handle special survey questions such as Check-all-that-Apply. In addition, the basics of Bayesian data analysis and its Python implementation are presented. Since surveys are widely used as the primary method to collect data, and ultimately information, on attitudes, interests, and opinions of customers and constituents, these tools are vital for private or public sector policy decisions.
: vitvikvas 13-09-2022, 06:01 | : 0 |

: Game Programming with Open 3D Engine
(): Oleksandr Lozitskiy
: Independently published
: 2022
: 349
: PDF
: 36
: english

Learning how to create games in a new game engine is a difficult task. It is easy to get bogged down in details. This book is written with an idea that the best way to teach an engine is by gradually introducing topics one element at a time, just enough to get you past the task at hand. Then we loop back and introduce deeper systems involved once you have enough context to understand why you need them.
: MIHAIL62 12-09-2022, 22:25 | : 0 |
: Engineering a Compiler, 3rd Edition
: Linda Torczon, Keith D. Cooper
: Morgan Kaufmann
: 2023
: PDF
: 848
: 13,7 Mb
: English

Engineering a Compiler, Third Edition covers the latest developments in compiler technology, with new chapters focusing on semantic elaboration (the problems that arise in generating code from the ad-hoc syntax-directed translation schemes in a generated parser), on runtime support for naming and addressability, and on code shape for expressions, assignments and control-structures.Leading educators and researchers, Keith Cooper and Linda Torczon, have revised this popular text with a fresh approach to learning important techniques for constructing a modern compiler, combining basic principles with pragmatic insights from their own experience building state-of-the-art compilers.
Presents in-depth treatments of algorithms and techniques used in the front end of a modern compiler
Pays particular attention to code optimization and code generation, both primary areas of recent research and development
Focuses on how compilers (and interpreters) implement abstraction, tying the underlying knowledge to students own experience and to the languages in which they have been taught to program
: vitvikvas 12-09-2022, 21:41 | : 0 |
: Push Notifications by Tutorials 4th Edition
: Scott Grosch
: Razeware LLC
: 2022
: PDF
: 213
: 20 Mb
: English

Push notifications may seem simple and straightforward at first since almost everyone is familiar with them; however, knowing how and when to use them in practice can prove challenging. With advancements in the latest iOS releases bringing advanced features, such as rich media notifications, notification actions, grouped notifications and more, you will quickly realize that you need a book to help you out. Well, heres that book!
Youll learn everything you need in order to create, send and receive push notifications, meaning notifications that come from an external service, as opposed to locally from the device. Youll also cover how to handle local notifications because, sometimes you dont need all the overhead of a remote notification; rather, its enough to simply schedule a notification to appear at a specific point in the future or when you enter a specific location.
Since push notifications is such a focused subject, this book is direct and to-the point; instead of wading through 300 pages of theory before getting down to business, the book gets the job done in just over 150 pages. Its just the information you need, just when you need it.
: vitvikvas 12-09-2022, 20:10 | : 0 |
Adversarial Robustness for Machine Learning: Adversarial Robustness for Machine Learning
: Pin-Yu Chen, Cho-Jui Hsieh
: Academic Press/Elsevier
: 2023
: 276
:
: pdf (true)
: 10.2 MB

Adversarial Robustness for Machine Learning summarizes the recent progress on this topic and introduces popular algorithms on adversarial attack, defense and verification. Sections cover adversarial attack, verification and defense, mainly focusing on image classication applications which are the standard benchmark considered in the adversarial robustness community. Other sections discuss adversarial examples beyond image classification, other threat models beyond testing time attack, and applications on adversarial robustness. For researchers, this book provides a thorough literature review that summarizes latest progress in the area, which can be a good reference for conducting future research. In addition, the book can also be used as a textbook for graduate courses on adversarial robustness or trustworthy Machine Learning. While Machine Learning (ML) algorithms have achieved remarkable performance in many applications, recent studies have demonstrated their lack of robustness against adversarial disturbance.
: Ingvar16 12-09-2022, 18:55 | : 0 |
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: .
: MK
: 2023
: True PDF
: 274
: 46,4 Mb
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: vitvikvas 12-09-2022, 18:47 | : 0 |
Cognitive Systems and Signal Processing in Image Processing: Cognitive Systems and Signal Processing in Image Processing
: Yu-Dong Zhang, Arun Kumar Sangaiah
: Academic Press/Elsevier
: 2022
: 378
:
: pdf (true)
: 16.3 MB

Cognitive Systems and Signal Processing in Image Processing presents different frameworks and applications of cognitive signal processing methods in image processing. This book provides an overview of recent applications in image processing by cognitive signal processing methods in the context of Big Data and Cognitive AI. It presents the amalgamation of cognitive systems and signal processing in the context of image processing approaches in solving various real-word application domains. This book reports the latest progress in cognitive big data and sustainable computing. Various real-time case studies and implemented works are discussed for better understanding and more clarity to readers. The combined model of cognitive data intelligence with learning methods can be used to analyze emerging patterns, spot business opportunities, and take care of critical process-centric issues for computer vision in real-time.
: Ingvar16 12-09-2022, 18:41 | : 0 |
: Practical MATLAB Deep Learning: A Projects-Based Approach 2nd Edition
: Michael Paluszek, Stephanie Thomas, Eric Ham
: Apress
: 2022
: True PDF
: 338
: 14,5 Mb
: English

Harness the power of MATLAB for deep-learning challenges. Practical MATLAB Deep Learning, Second Edition, remains a one-of a-kind book that provides an introduction to deep learning and using MATLAB's deep-learning toolboxes. In this book, youll see how these toolboxes provide the complete set of functions needed to implement all aspects of deep learning. This edition includes new and expanded projects, and covers generative deep learning and reinforcement learning.
: vitvikvas 12-09-2022, 17:52 | : 0 |
Machine Learning for Biometrics: Concepts, Algorithms and Applications: Machine Learning for Biometrics: Concepts, Algorithms and Applications
: Partha Pratim Sarangi, Madhumita Panda, Subhashree Mishra
: Academic Press/Elsevier
: 2022
: 240
:
: pdf (true)
: 17.8 MB

Machine Learning for Biometrics: Concepts, Algorithms and Applications highlights the fundamental concepts of machine learning, processing and analyzing data from biometrics and provides a review of intelligent and cognitive learning tools which can be adopted in this direction. Each chapter of the volume is supported by real-life case studies, illustrative examples and video demonstrations. The book elucidates various biometric concepts, algorithms and applications with machine intelligence solutions, providing guidance on best practices for new technologies such as e-health solutions, Data science, Cloud computing, and Internet of Things, etc. In each section, different machine learning concepts and algorithms are used, such as different object detection techniques, image enhancement techniques, both global and local feature extraction techniques, and classifiers those are commonly used data science techniques. These biometrics techniques can be used as tools in Cloud computing, Mobile computing, IOT based applications, and e-health care systems for secure login, device access control, personal recognition and surveillance.
: Ingvar16 12-09-2022, 17:40 | : 0 |
: MATLAB Database Toolbox User's Guide (R2022a)
: The MathWorks
: The MathWorks
: 2022
: PDF
: 1440
: 10 Mb
: English

Exchange data with relational and nonrelational databases.
Database Toolbox provides functions and an app for exchanging data with relational and nonrelational databases. It enables this exchange by automatically converting between database and MATLAB data types.
: vitvikvas 12-09-2022, 10:42 | : 0 |

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