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The Fundamentals Of Artificial Intelligence


The Fundamentals Of Artificial Intelligence
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The Fundamentals Of Artificial Intelligence And Machine Learning


The Fundamentals Of Artificial Intelligence And Machine Learning
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Author : Dr. N. Balajiraja
language : en
Publisher: Academic Guru Publishing House
Release Date : 2023-11-22

The Fundamentals Of Artificial Intelligence And Machine Learning written by Dr. N. Balajiraja and has been published by Academic Guru Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-22 with Study Aids categories.


Machine learning and Artificial Intelligence are pillars on which you can build intelligent applications. This field is essential in the modern world since robots may now display complex cognitive abilities including as decision-making, learning and seeing the environment, behaviour prediction, and language processing. The terms "artificial intelligence" & "machine learning" are often used interchangeably, although they refer to two distinct processes. Machine learning is a branch of artificial intelligence that allows intelligent systems to autonomously learn new things from data, while artificial intelligence as a whole refers to robots that can make choices, acquire new skills, and solve problems. The engineering profession makes extensive use of AI methods to address a broad variety of previously intractable issues. The purpose of this book is to bring together developed form scientists, researchers, and academics to discuss all aspects of artificial intelligence and share their findings with one another and the wider scientific community. The book serves as a leading multidisciplinary forum for discussing real-world problems and the solutions that have been implemented to address them.



Fundamentals Of Artificial Intelligence


Fundamentals Of Artificial Intelligence
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Author : Dr.G.Sravan Kumar
language : en
Publisher: SK Research Group of Companies
Release Date : 2025-05-20

Fundamentals Of Artificial Intelligence written by Dr.G.Sravan Kumar and has been published by SK Research Group of Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-20 with Computers categories.


Authors: Dr.G.Sravan Kumar Associate Professor & Head, Department of AI&ML, Nalla Narasimha Reddy Education Society’s Group of Institutions, Hyderabad, Telangana, India. Dr.Naresh Poloju Lecturer, Department of Computer Science, Mahatma Jyothiba Phule Telangana Backward Classes Welfare Residential Educational Institutions Society, Hyderabad, Telangana, India. Dr.G.L.Anand Babu Assistant Professor, Department of Information Technology, Anurag University, Hyderabad, Telangana, India. Mr.G.Sekhar Reddy Assistant Professor, Department of Information Technology, Anurag University, Hyderabad, Telangana, India. Published by: SK Research Group of Companies, Madurai 625003, Tamil Nadu, India. Edition Details (I,II,III etc): I Copyright © SK Research Group of Companies, Madurai 625003, Tamil Nadu, India.



Fundamentals Of Artificial Intelligence


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.



Fundamentals Of Artificial Intelligence


Fundamentals Of Artificial Intelligence
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Author : Mr. Rohit Manglik
language : en
Publisher: EduGorilla Publication
Release Date : 2024-07-12

Fundamentals Of Artificial Intelligence written by Mr. Rohit Manglik and has been published by EduGorilla Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-12 with Computers categories.


EduGorilla Publication is a trusted name in the education sector, committed to empowering learners with high-quality study materials and resources. Specializing in competitive exams and academic support, EduGorilla provides comprehensive and well-structured content tailored to meet the needs of students across various streams and levels.



Fundamentals Of Artificial Intelligence


Fundamentals Of Artificial Intelligence
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Author : Diego Rodrigues
language : en
Publisher: Diego Rodrigues
Release Date : 2025-02-27

Fundamentals Of Artificial Intelligence written by Diego Rodrigues and has been published by Diego Rodrigues this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-27 with Business & Economics categories.


FUNDAMENTALS OF ARTIFICIAL INTELLIGENCE: A Guide for Professionals and Businesses is an essential manual that provides a comprehensive overview of artificial intelligence, from its fundamental concepts to strategic market applications. Designed for professionals, managers, and companies seeking to understand and implement AI efficiently, this guide combines theory and practice to demystify the technology that is redefining the digital economy. The book explores the evolution of AI, covering the principles of machine learning, neural networks, and deep learning. It presents the impact of advanced language models such as GPT and DeepSeek, along with groundbreaking applications in automation, data analysis, and business intelligence. It addresses crucial topics such as ethics, regulation, and the future of AI, ensuring that readers are well-prepared for the challenges and opportunities of this technological transformation. With an accessible and structured approach, the book details how artificial intelligence is reshaping industries such as healthcare, security, manufacturing, marketing, and education. Companies will discover strategies for AI adoption, while professionals will learn how to stand out in the evolving digital landscape. Whether you aim to optimize processes, innovate in the market, or deepen your knowledge, FUNDAMENTALS OF ARTIFICIAL INTELLIGENCE is an indispensable guide to mastering the AI revolution and propelling your career or business into the future.



Understanding The Fundamentals Of Machine Learning And Ai For Digital Business


Understanding The Fundamentals Of Machine Learning And Ai For Digital Business
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Author : Andy Ismail
language : en
Publisher: Asadel Publisher
Release Date : 2023-06-04

Understanding The Fundamentals Of Machine Learning And Ai For Digital Business written by Andy Ismail and has been published by Asadel Publisher this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-04 with Computers categories.


"Understanding the Fundamentals of Machine Learning and AI for Digital Business" is a comprehensive guide that provides a solid foundation in the concepts and applications of machine learning and artificial intelligence. This book covers a wide range of topics, from the history and understanding of machine learning to its purpose and application in the digital business landscape. Starting with the basics, readers will gain a clear understanding of supervised learning, unsupervised learning, and reinforcement learning. They will explore evaluation methods such as accuracy, precision, recall, F1 score, and ROC-AUC, and learn how to assess the performance of machine learning models. The book delves into regression analysis, covering important techniques like polynomial regression, ridge regression, lasso regression, and vector regression. It also explores classification methods, including Naive Bayes, K-Nearest Neighbors (KNN), decision trees, random forest, and support vector machines. Readers will gain insights into clustering techniques like K-means, hierarchical clustering, and density-based clustering. They will also explore the fascinating world of deep learning, including convolutional neural networks (CNN), recurrent neural networks (RNN), long short-term memory (LSTM), and natural language processing (NLP) techniques like tokenization, stemming, and lemmatization. The book provides practical exercises throughout, allowing readers to apply their knowledge and reinforce their understanding. It covers topics such as dealing with violations of assumptions, model selection and validation, and advanced regression techniques. Ethical considerations in machine learning and AI are also addressed, highlighting the importance of responsible and ethical practices in the digital business environment. With its comprehensive coverage and practical exercises, "Understanding the Fundamentals of Machine Learning and AI for Digital Business" is an essential resource for students, professionals, and anyone interested in harnessing the power of machine learning and AI in the digital era. It offers a solid foundation in theory and practical applications, equipping readers with the skills to navigate the evolving landscape of machine learning and AI and drive digital business success.



Fundamentals Of Machine Learning Artificial Intelligence


Fundamentals Of Machine Learning Artificial Intelligence
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Author : Dr. Abdul Rahiman Sheik
language : en
Publisher: Academic Guru Publishing House
Release Date : 2023-07-07

Fundamentals Of Machine Learning Artificial Intelligence written by Dr. Abdul Rahiman Sheik and has been published by Academic Guru Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-07 with Study Aids categories.


An upcoming game-changing technology that is disrupting the digital & computer technology age is artificial intelligence (AI). The whole of the information technology industry has adopted the use of machine learning & artificial algorithms in order to automate processes and provide robust outcomes. This book will familiarize you with the fundamental concepts and important phrases of the area of computer science that is seeing the most rapid expansion, as well as: An explanation of the many methods and algorithms that are utilized in machine learning, including why & how they are used as well as the tools that are necessary. Where to get data, which languages are most suited for machine learning, and what kinds of technologies are available to assist you with your task. This book provides an introduction to the foundations of contemporary artificial intelligence (AI), as well as coverage of recent developments in AI, such as Automated Planning, Information Retrieval, Intelligent Agents, Natural Language and Speech Processing, and Machine Vision. A short historical background can be found at the beginning of each chapter. This book explains, in terminology that is easy to understand, almost all of the components of artificial intelligence, including problem solving, search strategies, knowledge concepts, expert systems, and many more.



Fundamentals Of Artificial Intelligence


Fundamentals Of Artificial Intelligence
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Author : Nisha Talagala
language : en
Publisher:
Release Date : 2022

Fundamentals Of Artificial Intelligence written by Nisha Talagala and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.


This book is for K12 students who want to learn AI, for teachers who want to teach AI and bring AI into the classroom, and for any individual who wants to understand AI in a simple and effective way.Artificial Intelligence is all around us. This book demystifies AI for K12 students and teachers using a unique combination of concept learning, hands-on plugged and unplugged exercises, context of how AI is used in industries from finance to marketing, and project ideas for students to apply their own creativity and build their own AIs. The ten fully illustrated color chapters cover both Machine Learning and Deep Learning, a comprehensive overview of AI Ethics, and popular AI algorithms from Linear Regression to Convolutional Neural Networks. Teacher's corners provide teachers with additional resources for bringing AI into the classroom. The book is paired with extensive online resources in curriculum, datasets, exercises, and code.The two authors (Nisha Talagala and Sindhu Ghanta) have extensive experience building industry AI solutions and have applied their knowledge to teach AI to K12 students. This book comes from their experiences of teaching AI to thousands of students around the world.



Fundamentals Of Artificial Intelligence Research


Fundamentals Of Artificial Intelligence Research
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Author : Jozef Kelemen
language : en
Publisher: Springer Science & Business Media
Release Date : 1991-08-28

Fundamentals Of Artificial Intelligence Research written by Jozef Kelemen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991-08-28 with Computers categories.


This volume contains 6 invited lectures and 13 submitted contributions to the scientific programme of the international workshop Fundamentals of Artificial Intelligence Research, FAIR '91, held at Smolenice Castle, Czechoslovakia, September 8-12, 1991, under the sponsorship of the European Coordinating Committee for Artificial Intelligence, ECCAI. FAIR'91, the first of an intended series of international workshops, addresses issues which belong to the theoretical foundations of artificial intelligence considered as a discipline focused on concise theoretical description of some aspects of intelligence by toolsand methods adopted from mathematics, logic, and theoretical computer science. The intended goal of the FAIR workshops is to provide a forum for the exchange of ideas and results in a domain where theoretical models play an essential role. It is felt that such theoretical studies, their development and their relations to AI experiments and applications have to be promoted in the AI research community.



Fundamentals Of Artificial Intelligence


Fundamentals Of Artificial Intelligence
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Author : Wolfgang Bibel
language : en
Publisher: Springer
Release Date : 1987-01-01

Fundamentals Of Artificial Intelligence written by Wolfgang Bibel and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987-01-01 with Computers categories.


This volume contains the elaborated and harmonized versions of seven lectures given at the first Advanced Course in Artificial Intelligence, held in Vignieu, France, in July 1985. Most of them were written in tutorial form; the book thus provides an extremely valuable guide to the fundamental aspects of AI. In the first part, Delgrande and Mylopoulos discuss the concept of knowledge and its representation. The second part is devoted to the processing of knowledge. The contribution by Huet shows that both computation and inference or deduction are just different aspects of the same phenomenon. The chapter written by Stickel gives a thorough and knowledgeable introduction to the most important aspects of deduction by some form of resolution. The kind of reasoning that is involved in inductive inference problem solving (or programming) from examples, and in learning, is covered by Biermann. The tutorial by Bibel covers the more important forms of knowledge processing that might play a significant role in common sense reasoning. The third part of the book focuses on logic programming and functional programming. Jorrand presents the language FP2, where term rewriting forms the basis for the semantics of both functional and parallel programming. In the last chapter, Shapiro gives an overview of the current state of concurrent PROLOG.