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Название: Hacking Artificial Intelligence: A Leader's Guide from Deepfakes to Breaking Deep Learning
Автор: Davey Gibian
Издательство: Rowman & Littlefield Publishers
Год: 2022
Страниц: 193
Язык: английский
Формат: pdf (true), epub
Размер: 10.4 MB

Sheds light on the ability to hack AI and the technology industry’s lack of effort to secure vulnerabilities. We are accelerating towards the automated future. But this new future brings new risks. It is no surprise that after years of development and recent breakthroughs, artificial intelligence is rapidly transforming businesses, consumer electronics, and the national security landscape. But like all digital technologies, AI can fail and be left vulnerable to hacking. The ability to hack AI and the technology industry’s lack of effort to secure it is thought by experts to be the biggest unaddressed technology issue of our time. Hacking Artificial Intelligence sheds light on these hacking risks, explaining them to those who can make a difference.

Название: Choice Computing: Machine Learning and Systemic Economics for Choosing
Автор: Parag Kulkarni
Издательство: Springer
Год: 2022
Страниц: 254
Язык: английский
Формат: pdf (true), epub
Размер: 18.1 MB

This book presents thoughts and pathways to build revolutionary Machine Learning (ML) models with the new paradigm of Machine Learning to adapt behaviorism. It focuses on two aspects – one focuses on architecting a choice process to lead users on the certain choice path while the second focuses on developing Machine Learning models based on choice paradigm. This book is divided in three parts where part one deals with human choice and choice architecting models with stories of choice architects. Second part closely studies human choosing models and deliberates on developing ML models based on the human choice paradigm. Third part takes you further to look at Machine Learning based choice architecture.

Название: Dominant Algorithms to Evaluate Artificial Intelligence: From the view of Throughput Model
Автор: Waymond Rodgers
Издательство: Bentham Science Publishers
Год: 2022
Страниц: 329
Язык: английский
Формат: pdf (true), epub
Размер: 23.2 MB

This book describes the Throughput Model methodology that can enable individuals and organizations to better identify, understand, and use algorithms to solve daily problems. The Throughput Model is a progressive model intended to advance the artificial intelligence (AI) field since it represents symbol manipulation in six algorithmic pathways that are theorized to mimic the essential pillars of human cognition, namely, perception, information, judgment, and decision choice. The six AI algorithmic pathways are (1) Expedient Algorithmic Pathway, (2) Ruling Algorithmic Guide Pathway, (3) Analytical Algorithmic Pathway, (4) Revisionist Algorithmic Pathway, (5) Value Driven Algorithmic Pathway, and (6) Global Perspective Algorithmic Pathway. As AI is increasingly employed for applications where decisions require explanations, the Throughput Model offers business professionals the means to look under the hood of AI and comprehend how those decisions are attained by organizations.

Название: Strategy, Planning and Organization of Test Processes: Basis for Successful Project Execution in Software Testing
Автор: Frank Witte
Издательство: Springer
Год: 2022
Страниц: 257
Язык: английский
Формат: pdf (true), epub
Размер: 15.5 MB

The book provides concrete tips for the successful organization of software tests. Because: Planning and conception in advance are essential for successful test projects. Setting the right course prevents problems from the outset and highlights the need for action in software testing. In addition to theoretical basics, this work shows the implementation in practice and deals with typical problems. Frank Witte explains the decisive aspects to be considered in the test concept in order to optimally support and accompany the test process.

Название: Learning Salesforce Development with Apex: Learn to Code, Run and Deploy Apex Programs for Complex Business Process, 2nd Edition
Автор: Paul Battisson
Издательство: BPB Publications
Год: 2022
Страниц: 302
Язык: английский
Формат: epub, mobi
Размер: 10.2 MB

Learn to harness the power of the Apex language to build Salesforce applications. Acquiring knowledge of Apex has proved to be a valuable skill for developers eager to add business logic, as well as to execute flow and transaction control statements on Salesforce server. In this updated and expanded second edition, Author Paul Battisson places a significant emphasis on the scalability, security, and deployment capabilities of Salesforce applications. The nine-time Salesforce MVP took another shot at teaching Apex programming and getting people to start developing Salesforce applications with complete confidence.

Название: Theory of Computation Simplified: Simulate Real-world Computing Machines and Problems with Strong Principles of Computation
Автор: Dr. Varsha H. Patil, Dr. Vaishali S. Pawar, Dr. Swati A. Bhavsar
Издательство: BPB Publications
Год: 2023
Страниц: 620
Язык: английский
Формат: epub
Размер: 16.3 MB

A theory behind computing machines. The book is geared toward those who thirst for computation theory knowledge. To cater to the demands of a wide range of people, the principles in this book are explained in a way that is easy to understand, digest and apply in the upcoming career. The 'Theory of Computation' is the foundational and mathematical topic in computer science, computer applications, computer Engineering, and software engineering. This book provides a clear introduction to the fundamental principles, followed by an in-depth mathematical study and a wealth of solved problems. Before reading this book, learners must understand basic sets, functions, trees, graphs and strings. The book as a whole acquaints the reader with automata theory fundamentals.

Название: MATLAB and Simulink In-Depth: Model-based Design with Simulink and Stateflow, User Interface, Scripting, Simulation
Автор: Priyanka Patankar, Swapnil Kulkarni
Издательство: BPB Publications
Год: 2022
Страниц: 602
Язык: английский
Формат: epub
Размер: 14.9 MB

Model-based Development: Beginner’s Approach. MATLAB and Simulink In-Depth' is a thorough introduction to MATLAB, Simulink, and Stateflow principles. It establishes a solid foundation for methodologies commonly employed in model-based development. The book demonstrates how readers can perform algorithm construction and assessment faster than ever. The book covers most contemporary issues with real-world examples.

Название: Data Analysis with Python: Introducing NumPy, Pandas, Matplotlib, and Essential Elements of Python Programming
Автор: Rituraj Dixit
Издательство: BPB Online
Год: 2023
Формат: True ePUB
Страниц: 276
Размер: 10 Mb
Язык: English

In an effort to provide content for beginners, the book ‘Data Analysis with Python’ provides a concrete first step in learning data analysis. Written by a data professional with decades of experience, this book provides a solid foundation in data analysis and numerous data science processes. In doing so, readers become familiar with common Python libraries and straightforward scripting techniques.

Название: Pattern Recognition and Data Analysis with Applications
Автор: Deepak Gupta, Rajat Subhra Goswami
Издательство: Springer
Год: 2022
Страниц: 815
Язык: английский
Формат: pdf (true)
Размер: 19.4 MB

This book covers latest advancements in the areas of Machine Learning {ML}, computer vision, pattern recognition, computational learning theory, big data analytics, network intelligence, signal processing and their applications in real world. The topics covered in Machine Learning involves feature extraction, variants of support vector machine (SVM), extreme learning machine (ELM), artificial neural network (ANN) and other areas in machine learning. The mathematical analysis of computer vision and pattern recognition involves the use of geometric techniques, scene understanding and modelling from video, 3D object recognition, localization and tracking, medical image analysis and so on. Computational learning theory involves different kinds of learning like incremental, online, reinforcement, manifold, multi-task, semi-supervised, etc.

Название: Neural Networks and Numerical Analysis
Автор: Bruno Despres
Издательство: ‎De Gruyter
Год: 2022
Страниц: 174
Язык: английский
Формат: pdf (true), epub
Размер: 22.8 MB

Artificial Intelligence, Deep Learning, Machine Learning - whatever you’re doing if you don’t understand it - learn it. Because otherwise you’re going to be a dinosaur within 3 years. This book uses numerical analysis as the main tool to investigate methods in Machine Learning and AI. The e?ciency of neural network representation on for polynomial functions is studied in detail, together with an original description of the Latin hypercube method. In addition, unique features include the use of Tensorflow for implementation on session and the application n to the construction of new optimized numerical schemes.