Ai Fundamentals Explained
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Ai Fundamentals Explained
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Author : Brian Mackay
language : en
Publisher: Brian Mackay
Release Date : 2024-08-14
Ai Fundamentals Explained written by Brian Mackay and has been published by Brian Mackay this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-14 with Computers categories.
Welcome to my new book called AI Fundamentals Explained. My name is Brian Mackay and I have worked in the IT industry since 1997 when I started at BT Internet helpdesk in my home town of Thurso, in the county of Caithness on the north coast of Scotland. I then went on to work at BT Global Services, Nildram in Buckinghamshire, England, then I moved to Edinburgh, Scotland where I worked for Scottish and Newcastle UK the Heineken UK, NHS Quality Improvement Scotland, NHS Lothian, Bodycote Plc and BSKYB service desk. I passed my Masters in Cybersecurity from Edinburgh Napier University in 2019 and now work as a Cybersecurity consultant for The Scotcoin Project CIC. This book starts off by looking at the early days of AI and machine learning and moves on to the various types of AI today such as, what are LLM's, what is ethical AI, AI legislation, Chat GPT and what is Generative AI, how AI will benefit and be a challenge to the cybersecurity industry, then finally looks at the potential future of AI such as quantum AI.
Fundamentals Of Artificial Intelligence
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Author : K.R. Chowdhary
language : en
Publisher: Springer Nature
Release Date : 2020-04-04
Fundamentals Of Artificial Intelligence written by K.R. Chowdhary and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-04 with Computers categories.
Fundamentals of Artificial Intelligence introduces the foundations of present day AI and provides coverage to recent developments in AI such as Constraint Satisfaction Problems, Adversarial Search and Game Theory, Statistical Learning Theory, Automated Planning, Intelligent Agents, Information Retrieval, Natural Language & Speech Processing, and Machine Vision. The book features a wealth of examples and illustrations, and practical approaches along with the theoretical concepts. It covers all major areas of AI in the domain of recent developments. The book is intended primarily for students who major in computer science at undergraduate and graduate level but will also be of interest as a foundation to researchers in the area of AI.
Artificial Intelligence
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Author : Cherry Bhargava
language : en
Publisher: CRC Press
Release Date : 2021-07-28
Artificial Intelligence written by Cherry Bhargava and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-28 with Technology & Engineering categories.
This comprehensive reference text discusses the fundamental concepts of artificial intelligence and its applications in a single volume. Artificial Intelligence: Fundamentals and Applications presents a detailed discussion of basic aspects and ethics in the field of artificial intelligence and its applications in areas, including electronic devices and systems, consumer electronics, automobile engineering, manufacturing, robotics and automation, agriculture, banking, and predictive analysis. Aimed at senior undergraduate and graduate students in the field of electrical engineering, electronics engineering, manufacturing engineering, pharmacy, and healthcare, this text: Discusses advances in artificial intelligence and its applications. Presents the predictive analysis and data analysis using artificial intelligence. Covers the algorithms and pseudo-codes for different domains. Discusses the latest development of artificial intelligence in the field of practical speech recognition, machine translation, autonomous vehicles, and household robotics. Covers the applications of artificial intelligence in fields, including pharmacy and healthcare, electronic devices and systems, manufacturing, consumer electronics, and robotics.
Cybersecurity Fundamentals Explained
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Author : Brian Mackay
language : en
Publisher: Brian Mackay
Release Date : 2024-02-03
Cybersecurity Fundamentals Explained written by Brian Mackay and has been published by Brian Mackay this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-03 with Computers categories.
The issue of Cybersecurity is of paramount importance in the digital age. With near-continuous revelations about incidents and breaches in the media, organizations and individuals are faced with the challenge of finding the balance between risk, innovation, and cost. At the same time, the field of cyber security is undergoing dramatic changes, demanding that organizations embrace new practices and skill sets. In this book, I will explore the basics of Cybersecurity and discuss how ordinary people and organizations can best ensure the safety and security of their data. By examining numerous studies, reports, and surveys, I will argue that organizations must embrace a comprehensive approach to cyber security that considers the ever-changing nature of the threat landscape. In the following chapters, I will first explain the fundamentals of cyber security, and then discuss several case studies on the more prominent security breaches in the last few years to show what can happen to a business.
Kickstart Artificial Intelligence Fundamentals
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Author : Dr. S.Mahesh Anand
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2025-03-29
Kickstart Artificial Intelligence Fundamentals written by Dr. S.Mahesh Anand and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-29 with Computers categories.
TAGLINE Master AI Fundamentals and Build Real-World Machine Learning and Deep Learning Solutions KEY FEATURES ● Hands-on AI guide with Python, TensorFlow, and Keras implementations. ● Step-by-step walkthroughs of Machine Learning, Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Long Short-Term Memory (LSTM) models. ● Bridges AI theory with real-world applications and coding exercises. DESCRIPTION AI is transforming industries, driving innovation, and shaping the future of technology. A strong foundation in AI fundamentals is essential for anyone looking to stay ahead in this rapidly evolving field. Kickstart Artificial Intelligence Fundamentals is a comprehensive companion designed to demystify core AI concepts, covering Machine Learning, Deep Learning, and Neural Networks. Tailored for all AI enthusiasts, this book provides hands-on Python implementation using the TensorFlow-Keras framework, ensuring a seamless learning experience from theory to practice. Bridging the gap between concepts and real-world applications, this book offers intuitive explanations, mathematical foundations, and practical use cases. Readers will explore supervised and unsupervised Machine Learning models, master Convolutional Neural Networks for image classification, and leverage Long Short-Term Memory networks for time-series forecasting. Each chapter includes coding examples and guided exercises, making it an invaluable resource for both beginners and advanced learners. Beyond technical expertise, this book explores emerging trends like Generative AI and ethical considerations in AI, preparing readers for the challenges and opportunities in the field. This book will provide you the essential knowledge and hands-on experience to stay competitive. Don’t get left behind—embrace AI and future-proof your career today! WHAT WILL YOU LEARN ● Build and train machine learning models for real-world datasets. ● Apply neural networks to classification and regression tasks. ● Implement CNNs and LSTMs for vision and sequence modeling. ● Solve AI problems using Python, TensorFlow, and Keras. ● Fine-tune pre-trained models for domain-specific applications. ● Explore generative AI for creative and industrial use cases. WHO IS THIS BOOK FOR? This book is tailored for students in AI courses at leading universities and professionals transitioning into AI. Suitable for undergraduates in BE, BTech, BCA, MCA, and related fields, as well as data scientists, software engineers, and analysts, it bridges AI theory with hands-on Python applications. Whether you're a beginner or an expert, this guide equips you with essential AI and GenAI skills. TABLE OF CONTENTS 1. Introduction and Evolution of AI Technologies 2. Modern Approach to AI 3. Introduction to Machine Learning 4. Regression Versus Classification Model 5. Naive Bayes as a Linear Classifier 6. Tree-Based Machine Learning Models 7. Distance-Based Machine Learning Models 8. Support Vector Machines 9. Introduction to Artificial Neural Networks 10. Training Neural Networks 11. Introduction to Convolutional Neural Networks 12. Classification Using CNN 13. Pre-trained CNN Architectures 14. Introduction to Recurrent Neural Networks 15. Introduction to Long Short-Term Memory (LSTM) 16. Application of LSTM in NLP and TS Forecasting 17. Emerging Trends and Ethical Considerations in AI Index
Ai Essentials Fundamentals Exam Preparation
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Author : Gitte Snoeren
language : en
Publisher: Van Haren
Release Date : 2024-09-16
Ai Essentials Fundamentals Exam Preparation written by Gitte Snoeren and has been published by Van Haren this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-16 with Architecture categories.
This exam preparation booklet is a comprehensive guide designed to help you earn your certification for the NL AIC AI Fundamentals (AI Brevet) and AI Basis. It can also be used for exams based on the EXIN BCS Artificial Intelligence Essentials and/or Foundation. For those focusing on the Artificial Intelligence Essentials, sections 1.1 and 2.1 are relevant, while all sections apply to the Artificial Intelligence Foundation. All the knowledge areas described in the preparation guide will be covered with exam-like questions. The number of questions per topic can differ, depending on the weights used in the formal exam requirements. The booklet is structured into two main sections: The first part features questions without answers, allowing you to test your knowledge and identify areas for improvement. The second part provides the correct answers along with concise explanations to enhance your understanding. This exam preparation booklet will help prepare you for various acknowledges AI certification exams and provides you with sertanty going in to the exam session.
Ai Fundamentals Courseware
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Author : Reinier van den Biggelaar
language : en
Publisher: Van Haren
Release Date : 2023-09-26
Ai Fundamentals Courseware written by Reinier van den Biggelaar and has been published by Van Haren this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-26 with Architecture categories.
The AI Fundamentals courseware offers an AI training course designed for professionals in business or government environments who want to understand the benefits and applications of AI in their work environment. This course covers topics such as data management for AI, building and assessing AI applications, ethics and trustworthiness, and organizational success factors for enabling humans and machines to work together. The course addresses key questions such as “Where does Data Management end and AI application begin?” from a management perspective. Subjects covered include the applications and benefits of AI, data and robots, predictions and algorithms, machine and deep learning, building and reviewing AI applications, data management for AI, ethics and trustworthiness, organizational success factors for helping humans and machines work together, and the future of AI. This courseware educates for three certifications within it’s three-day combined program. It’s also possible to cut the material in pieces for a module teaching approach. The EXIN BCS Artificial Intelligence Essentials, testing the fundamental concepts of AI. This AI for Business and Government certification (the AI Brevet) which was established by the Netherlands AI Coalition (NL AIC) as a standard for professionals who want to use Artificial Intelligence. EXIN BCS Artificial Intelligence Foundation, which has a more IT-technical perspective.
Artificial Intelligence And Machine Learning Fundamentals
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Author : Zsolt Nagy
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-12-12
Artificial Intelligence And Machine Learning Fundamentals written by Zsolt Nagy and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-12 with Computers categories.
Create AI applications in Python and lay the foundations for your career in data science Key FeaturesPractical examples that explain key machine learning algorithmsExplore neural networks in detail with interesting examplesMaster core AI concepts with engaging activitiesBook Description Machine learning and neural networks are pillars on which you can build intelligent applications. Artificial Intelligence and Machine Learning Fundamentals begins by introducing you to Python and discussing AI search algorithms. You will cover in-depth mathematical topics, such as regression and classification, illustrated by Python examples. As you make your way through the book, you will progress to advanced AI techniques and concepts, and work on real-life datasets to form decision trees and clusters. You will be introduced to neural networks, a powerful tool based on Moore's law. By the end of this book, you will be confident when it comes to building your own AI applications with your newly acquired skills! What you will learnUnderstand the importance, principles, and fields of AIImplement basic artificial intelligence concepts with PythonApply regression and classification concepts to real-world problemsPerform predictive analysis using decision trees and random forestsCarry out clustering using the k-means and mean shift algorithmsUnderstand the fundamentals of deep learning via practical examplesWho this book is for Artificial Intelligence and Machine Learning Fundamentals is for software developers and data scientists who want to enrich their projects with machine learning. You do not need any prior experience in AI. However, it’s recommended that you have knowledge of high school-level mathematics and at least one programming language (preferably Python).
Ai 900 Microsoft Azure Ai Fundamentals Exam Preparation New Edition
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Author : Georgio Daccache
language : en
Publisher: Georgio Daccache
Release Date :
Ai 900 Microsoft Azure Ai Fundamentals Exam Preparation New Edition written by Georgio Daccache and has been published by Georgio Daccache this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
AI-900: Microsoft Azure AI Fundamentals Exam Preparation Book New Edition 2024: Achieve success in your Microsoft AI-900 Azure AI Fundamentals Exam on the first try with our new and exclusive preparation book. This Exclusive Book is a preparation for students who want to Successfully pass the AI-900: Microsoft Azure AI Fundamentals exam on the first Try! Here we’ve brought Top new and recurrent Exam Practice Questions for Microsoft AI-900 Azure AI Fundamentals exam so that you can prepare well for this exam. This Exclusive book is aligned with the Microsoft AI-900 Exam Review Manual 2024 edition and covers all the exam’s topics that a Microsoft AI-900 candidate needs to understand in order to pass the exam successfully. The book practice tests contain exclusive, up-to-date content that is designed to match the real exam. The Practice tests will help you gaining more knowledge and more confidence on exam preparation. You will be able to self-evaluation against the real exam content. This book of exclusive practice tests will test you on questions asked in the actual Exam. This exam is intended for candidates no matter their prior knowledge or experience. Skills measured: Describe AI workloads and considerations (15-20%) Describe the fundamental principles of machine learning (ML) on Azure (30-35%) Describe the features of the computer vision (CV) workloads on Azure (15-20%) Describe the features of the Natural Language Processing (NLP) workloads on Microsoft Azure (15-20%) Describe features of generative AI workloads on Azure (15-20%) Who this book is for: Microsoft Azure AI Fundamentals (AI-900) candidates. Beginners in Machine Learning (ML) Welcome!
An Intuitive Exploration Of Artificial Intelligence
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Author : Simant Dube
language : en
Publisher: Springer Nature
Release Date : 2021-06-21
An Intuitive Exploration Of Artificial Intelligence written by Simant Dube and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-21 with Computers categories.
This book develops a conceptual understanding of Artificial Intelligence (AI), Deep Learning and Machine Learning in the truest sense of the word. It is an earnest endeavor to unravel what is happening at the algorithmic level, to grasp how applications are being built and to show the long adventurous road in the future. An Intuitive Exploration of Artificial Intelligence offers insightful details on how AI works and solves problems in computer vision, natural language understanding, speech understanding, reinforcement learning and synthesis of new content. From the classic problem of recognizing cats and dogs, to building autonomous vehicles, to translating text into another language, to automatically converting speech into text and back to speech, to generating neural art, to playing games, and the author's own experience in building solutions in industry, this book is about explaining how exactly the myriad applications of AI flow out of its immense potential. The book is intended to serve as a textbook for graduate and senior-level undergraduate courses in AI. Moreover, since the book provides a strong geometrical intuition about advanced mathematical foundations of AI, practitioners and researchers will equally benefit from the book.