Together We Can Make The World Better
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Concept Mining
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2023-07-05
Concept Mining written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-05 with Computers categories.
What Is Concept Mining An activity known as idea mining is one in which concepts are extracted from artifacts for the purpose of analysis. Aspects of artificial intelligence and statistics, such as data mining and text mining, are frequently incorporated into the approaches taken to solve the problem. The problem is not easy to solve since artifacts are often a loosely structured sequence of words and other symbols; yet, solving it can yield valuable insights into the meaning, provenance, and similarity of documents. Artifacts are typically loosely structured sequences of words and other symbols. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Concept Mining Chapter 2: Text Mining Chapter 3: Word-sense Disambiguation Chapter 4: Latent Semantic Analysis Chapter 5: Sentiment Analysis Chapter 6: Unstructured Data Chapter 7: Knowledge Extraction Chapter 8: Explicit Semantic Analysis Chapter 9: Automatic Summarization Chapter 10: Word2vec (II) Answering the public top questions about concept mining. (III) Real world examples for the usage of concept mining in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of concept mining' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of concept mining.
State Space Search
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2023-06-28
State Space Search written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-28 with Computers categories.
What Is State Space Search State space search is a technique that is employed in the field of computer science, particularly artificial intelligence (AI), in which consecutive configurations or states of an instance are explored, with the objective of finding a goal state with the desired feature. The term "state space search" comes from the phrase "state space," which refers to the space in which the process takes place. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: State Space Search Chapter 2: Brute-Force Search Chapter 3: Heuristic in Computer Science Chapter 4: Local Search Optimization Chapter 5: Game Tree Chapter 6: Constraint Satisfaction Problem Chapter 7: Adversarial Search Chapter 8: Markov Decision Process Chapter 9: Reinforcement Learning Chapter 10: Combinatorial search (II) Answering the public top questions about state space search. (III) Real world examples for the usage of state space search in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of state space search' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of state space search.
Speaker Recognition
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2023-07-06
Speaker Recognition written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-06 with Computers categories.
What Is Speaker Recognition The identification of a person based on the features of their voice is referred to as "speaker recognition." The purpose of this information is to provide an answer to the query "Who is speaking?" Speech recognition and speaker recognition are both included in the broader concept of voice recognition. Verification of a speaker is distinct from identification of a speaker, and recognition of a speaker is not the same as diarization of a speaker. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Speaker recognition Chapter 2: Speech recognition Chapter 3: Voice analysis Chapter 4: Authentication Chapter 5: Interactive voice response Chapter 6: Biometrics Chapter 7: Electronic authentication Chapter 8: Multi-factor authentication Chapter 9: BioAPI Chapter 10: PerSay (II) Answering the public top questions about speaker recognition. (III) Real world examples for the usage of speaker recognition in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of speaker recognition' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of speaker recognition.
Feedforward Neural Networks
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2023-06-24
Feedforward Neural Networks written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-24 with Computers categories.
What Is Feedforward Neural Networks A feedforward neural network, often known as a FNN, is a type of artificial neural network that does not have connections that form a cycle between its nodes. Therefore, it is distinct from its offspring, which are known as recurrent neural networks. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Feedforward neural network Chapter 2: Artificial neural network Chapter 3: Perceptron Chapter 4: Artificial neuron Chapter 5: Multilayer perceptron Chapter 6: Delta rule Chapter 7: Backpropagation Chapter 8: Types of artificial neural networks Chapter 9: Learning rule Chapter 10: Mathematics of artificial neural networks (II) Answering the public top questions about feedforward neural networks. (III) Real world examples for the usage of feedforward neural networks in many fields. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of feedforward neural networks. What Is Artificial Intelligence Series The Artificial Intelligence eBook series provides comprehensive coverage in over 200 topics. Each ebook covers a specific Artificial Intelligence topic in depth, written by experts in the field. The series aims to give readers a thorough understanding of the concepts, techniques, history and applications of artificial intelligence. Topics covered include machine learning, deep learning, neural networks, computer vision, natural language processing, robotics, ethics and more. The ebooks are written for professionals, students, and anyone interested in learning about the latest developments in this rapidly advancing field. The Artificial Intelligence eBook series provides an in-depth yet accessible exploration, from the fundamental concepts to the state-of-the-art research. With over 200 volumes, readers gain a thorough grounding in all aspects of Artificial Intelligence. The ebooks are designed to build knowledge systematically, with later volumes building on the foundations laid by earlier ones. This comprehensive series is an indispensable resource for anyone seeking to develop expertise in artificial intelligence.
Situation Calculus
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2023-06-30
Situation Calculus written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-30 with Computers categories.
What Is Situation Calculus A logic formalism known as the situation calculus has been developed for the purpose of expressing and reasoning about dynamical domains. John McCarthy was the one who initially proposed it back in 1963. This article's primary presentation of the situational calculus is primarily based on a model that was initially presented by Ray Reiter in the year 1991. After that comes some information regarding McCarthy's revised version from 1986 as well as a logic programming approach. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Situation Calculus Chapter 2: First-order Logic Chapter 3: Frame Problem Chapter 4: Propositional Calculus Chapter 5: Fluent (artificial intelligence) Chapter 6: Event Calculus Chapter 7: Fluent Calculus Chapter 8: Resolution (logic) Chapter 9: Circumscription (logic) Chapter 10: Yale Shooting Problem (II) Answering the public top questions about situation calculus. (III) Real world examples for the usage of situation calculus in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of situation calculus' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of situation calculus.
Hybrid Neural Networks
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2023-06-20
Hybrid Neural Networks written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-20 with Computers categories.
What Is Hybrid Neural Networks The phrase "hybrid neural network" can refer to either biological neural networks that interact with artificial neuronal models or artificial neural networks that also have a symbolic component. Both of these interpretations are possible. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Hybrid neural network Chapter 2: Connectionism Chapter 3: Computational neuroscience Chapter 4: Symbolic artificial intelligence Chapter 5: Neuromorphic engineering Chapter 6: Recurrent neural network Chapter 7: Neural network Chapter 8: Neuro-fuzzy Chapter 9: Spiking neural network Chapter 10: Hierarchical temporal memory (II) Answering the public top questions about hybrid neural networks. (III) Real world examples for the usage of hybrid neural networks in many fields. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of hybrid neural networks. What Is Artificial Intelligence Series The artificial intelligence book series provides comprehensive coverage in over 200 topics. Each ebook covers a specific Artificial Intelligence topic in depth, written by experts in the field. The series aims to give readers a thorough understanding of the concepts, techniques, history and applications of artificial intelligence. Topics covered include machine learning, deep learning, neural networks, computer vision, natural language processing, robotics, ethics and more. The ebooks are written for professionals, students, and anyone interested in learning about the latest developments in this rapidly advancing field. The artificial intelligence book series provides an in-depth yet accessible exploration, from the fundamental concepts to the state-of-the-art research. With over 200 volumes, readers gain a thorough grounding in all aspects of Artificial Intelligence. The ebooks are designed to build knowledge systematically, with later volumes building on the foundations laid by earlier ones. This comprehensive series is an indispensable resource for anyone seeking to develop expertise in artificial intelligence.
Particle Filter
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2024-05-13
Particle Filter written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-13 with Computers categories.
What is Particle Filter Particle filters, or sequential Monte Carlo methods, are a set of Monte Carlo algorithms used to find approximate solutions for filtering problems for nonlinear state-space systems, such as signal processing and Bayesian statistical inference. The filtering problem consists of estimating the internal states in dynamical systems when partial observations are made and random perturbations are present in the sensors as well as in the dynamical system. The objective is to compute the posterior distributions of the states of a Markov process, given the noisy and partial observations. The term "particle filters" was first coined in 1996 by Pierre Del Moral about mean-field interacting particle methods used in fluid mechanics since the beginning of the 1960s. The term "Sequential Monte Carlo" was coined by Jun S. Liu and Rong Chen in 1998. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Particle filter Chapter 2: Importance sampling Chapter 3: Point process Chapter 4: Fokker-Planck equation Chapter 5: Wiener's lemma Chapter 6: Klein-Kramers equation Chapter 7: Mean-field particle methods Chapter 8: Dirichlet kernel Chapter 9: Generalized Pareto distribution Chapter 10: Superprocess (II) Answering the public top questions about particle filter. (III) Real world examples for the usage of particle filter in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Particle Filter.
Depth First Search
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2023-06-28
Depth First Search written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-28 with Computers categories.
What Is Depth First Search An technique known as depth-first search, or DFS, is used to search or traverse data structures that are organized as trees or graphs. The algorithm makes its way outward from the root node in order to travel as far as it can along each branch before retracing its steps. To aid in the process of backtracking through the graph, additional memory, typically in the form of a stack, is required in order to keep track of the nodes that have been discovered so far along a particular branch. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Depth-First Search Chapter 2: Graphs in Discrete Mathematics Chapter 3: Recursion in Computer Science Chapter 4: Stack Abstract Data Type Chapter 5: Topological Sorting Chapter 6: Algorithmic Efficiency Chapter 7: Randomized Algorithm Chapter 8: Bidirectional Search Chapter 9: Parallel Computing Chapter 10: Analysis of Algorithms (II) Answering the public top questions about depth first search. (III) Real world examples for the usage of depth first search in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of depth first search' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of depth first search.
Statistical Classification
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2023-06-23
Statistical Classification written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-23 with Computers categories.
What Is Statistical Classification In the field of statistics, the problem of classification refers to the task of determining which of a number of categories (sub-populations) an observation belongs to. Assigning a particular email to the "spam" or "non-spam" class is one example; another is providing a diagnosis to a patient on the basis of observed features of that patient. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Statistical classification Chapter 2: Supervised learning Chapter 3: Support vector machine Chapter 4: Naive Bayes classifier Chapter 5: Linear classifier Chapter 6: Decision tree learning Chapter 7: Generative model Chapter 8: Feature (machine learning) Chapter 9: Multinomial logistic regression Chapter 10: Probabilistic classification (II) Answering the public top questions about statistical classification. (III) Real world examples for the usage of statistical classification in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of statistical classification' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of statistical classification.
Fuzzy Set Theory
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2023-06-25
Fuzzy Set Theory written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-25 with Computers categories.
What Is Fuzzy Set Theory In the field of mathematics, fuzzy sets are defined as sets with constituents that have varying degrees of membership. Lotfi A. Zadeh independently developed the concept of fuzzy sets in 1965 and presented it to the world as an expansion of the traditional concept of set.During this same time period, Salii (1965) defined a more broad sort of structure that he referred to as an L-relation. He examined this structure in the framework of abstract algebra. Fuzzy relations, which are currently utilized across fuzzy mathematics and have applications in fields such as linguistics, decision-making, and clustering, are special examples of L-relations when L is the unit interval [0, 1]. Fuzzy relations have applications in areas such as linguistics, decision-making, and clustering. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Fuzzy set Chapter 2: Kaluza-Klein theory Chapter 3: Dirac equation Chapter 4: Stress-energy tensor Chapter 5: Fuzzy control system Chapter 6: Measurable cardinal Chapter 7: Radon-Nikodym theorem Chapter 8: Stable distribution Chapter 9: Four-gradient Chapter 10: Pearson distribution (II) Answering the public top questions about fuzzy set theory. (III) Real world examples for the usage of fuzzy set theory in many fields. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of fuzzy set theory.