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Intelligent Systems Bridging Machine Learning Deep Learning And Natural Language Processing


Intelligent Systems Bridging Machine Learning Deep Learning And Natural Language Processing
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Intelligent Systems Bridging Machine Learning Deep Learning And Natural Language Processing


Intelligent Systems Bridging Machine Learning Deep Learning And Natural Language Processing
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Author : Dr.Sudhakar.K
language : en
Publisher: Leilani Katie Publication
Release Date : 2024-11-26

Intelligent Systems Bridging Machine Learning Deep Learning And Natural Language Processing written by Dr.Sudhakar.K and has been published by Leilani Katie Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-26 with Computers categories.


Dr.Sudhakar.K, Associate Professor & Head, Department of Artificial Intelligence & Data Science, NITTE Meenakshi Institute of Technology, Bangalore, Karnataka, India. Dr.R.Vadivel, Associate Professor, Department of Artificial Intelligence & Data Science, NITTE Meenakshi Institute of Technology, Bangalore, Karnataka, India. Ms.Sarumathi.S, Assistant Professor, Department of Computer Science and Engineering, HKBK College of Engineering, Bangalore, Karnataka, India. Dr.Manjunatha.S, Professor, Department of Computer Science and Engineering, BNM Institute of Technology, Bangalore, Karnataka, India.



Intelligent Systems Bridging Machine Learning Deep Learning And Natural Language Processing


Intelligent Systems Bridging Machine Learning Deep Learning And Natural Language Processing
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Author : Dr.Kamarajugadda Kishore Kumar
language : en
Publisher: Leilani Katie Publication
Release Date : 2025-05-17

Intelligent Systems Bridging Machine Learning Deep Learning And Natural Language Processing written by Dr.Kamarajugadda Kishore Kumar and has been published by Leilani Katie Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-17 with Computers categories.


Dr.Kamarajugadda Kishore Kumar, Professor & Dean Academics, Faculty of Science and Technology, ICFAI University, Raipur, Chhattisgarh, India. Dr.Movva Pavani, Professor, Department of Electronics and Communication Engineering, Nalla Malla Reddy Engineering College, Divya Nagar, Hyderabad, Telangana, India.



Deep Learning For Natural Language Processing


Deep Learning For Natural Language Processing
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Author : Palash Goyal
language : en
Publisher: Apress
Release Date : 2018-06-26

Deep Learning For Natural Language Processing written by Palash Goyal and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-26 with Computers categories.


Discover the concepts of deep learning used for natural language processing (NLP), with full-fledged examples of neural network models such as recurrent neural networks, long short-term memory networks, and sequence-2-sequence models. You’ll start by covering the mathematical prerequisites and the fundamentals of deep learning and NLP with practical examples. The first three chapters of the book cover the basics of NLP, starting with word-vector representation before moving onto advanced algorithms. The final chapters focus entirely on implementation, and deal with sophisticated architectures such as RNN, LSTM, and Seq2seq, using Python tools: TensorFlow, and Keras. Deep Learning for Natural Language Processing follows a progressive approach and combines all the knowledge you have gained to build a question-answer chatbot system. This book is a good starting point for people who want to get started in deep learning for NLP. All the code presented in the book will be available in the form of IPython notebooks and scripts, which allow you to try out the examples and extend them in interesting ways. What You Will Learn Gain the fundamentals of deep learning and its mathematical prerequisites Discover deep learning frameworks in Python Develop a chatbot Implement a research paper on sentiment classification Who This Book Is For Software developers who are curious to try out deep learning with NLP.



Natural Language Processing In Artificial Intelligence


Natural Language Processing In Artificial Intelligence
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Author : Brojo Kishore Mishra
language : en
Publisher: Apple Academic Press
Release Date : 2022-06

Natural Language Processing In Artificial Intelligence written by Brojo Kishore Mishra and has been published by Apple Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06 with categories.


Natural Language Processing in Artificial Intelligence, focuses on natural language processing, artificial intelligence, and allied areas. The book delves into natural language processing, which enables communication between people and computers and automatic translation to facilitate easy interaction with others around the world.



Neural Network Methods For Natural Language Processing


Neural Network Methods For Natural Language Processing
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Author : Yoav Goldberg
language : en
Publisher: Springer Nature
Release Date : 2022-06-01

Neural Network Methods For Natural Language Processing written by Yoav Goldberg and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-01 with Computers categories.


Neural networks are a family of powerful machine learning models. This book focuses on the application of neural network models to natural language data. The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. It also covers the computation-graph abstraction, which allows to easily define and train arbitrary neural networks, and is the basis behind the design of contemporary neural network software libraries. The second part of the book (Parts III and IV) introduces more specialized neural network architectures, including 1D convolutional neural networks, recurrent neural networks, conditioned-generation models, and attention-based models. These architectures and techniques are the driving force behind state-of-the-art algorithms for machine translation, syntactic parsing, and many other applications. Finally, we also discuss tree-shaped networks, structured prediction, and the prospects of multi-task learning.



Natural Language Processing With Pytorch


Natural Language Processing With Pytorch
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Author : Delip Rao
language : en
Publisher: O'Reilly Media
Release Date : 2019-01-22

Natural Language Processing With Pytorch written by Delip Rao and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-22 with Computers categories.


Natural Language Processing (NLP) provides boundless opportunities for solving problems in artificial intelligence, making products such as Amazon Alexa and Google Translate possible. If you’re a developer or data scientist new to NLP and deep learning, this practical guide shows you how to apply these methods using PyTorch, a Python-based deep learning library. Authors Delip Rao and Brian McMahon provide you with a solid grounding in NLP and deep learning algorithms and demonstrate how to use PyTorch to build applications involving rich representations of text specific to the problems you face. Each chapter includes several code examples and illustrations. Explore computational graphs and the supervised learning paradigm Master the basics of the PyTorch optimized tensor manipulation library Get an overview of traditional NLP concepts and methods Learn the basic ideas involved in building neural networks Use embeddings to represent words, sentences, documents, and other features Explore sequence prediction and generate sequence-to-sequence models Learn design patterns for building production NLP systems



The Negotiation Advantage Unlocking Hidden Opportunities And Leveraging Strengths


The Negotiation Advantage Unlocking Hidden Opportunities And Leveraging Strengths
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Author : Dorothy May
language : en
Publisher: Jaroslav Zdanovic
Release Date : 2025-04-11

The Negotiation Advantage Unlocking Hidden Opportunities And Leveraging Strengths written by Dorothy May and has been published by Jaroslav Zdanovic this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-11 with Business & Economics categories.


Unleash the power of negotiation and transform your outcomes with this groundbreaking guide. "The Negotiation Advantage" provides a comprehensive framework for understanding the intricacies of negotiation, empowering you with the knowledge and strategies to unlock hidden opportunities and leverage your strengths. Delving into the essential elements of negotiation, this book explores the art of preparation, the psychological dynamics at play, and the importance of building rapport and trust. It reveals the nuances of different negotiation styles, helping you identify your own approach and adjust it to maximize your effectiveness. Step-by-step guidance leads you through the negotiation process, from setting clear goals and gathering information to making concessions and closing deals. The book emphasizes the significance of understanding the interests and objectives of all parties involved, fostering collaboration rather than confrontation. Moreover, this guide delves into the psychology of negotiation, exploring the influence of emotions, biases, and cognitive processes on decision-making. It equips you with techniques to manage stress, respond to objections, and build consensus even in challenging situations. Whether you're a seasoned negotiator or just starting to navigate the world of deal-making, "The Negotiation Advantage" offers invaluable insights and practical tools.



Math Optimization For Artificial Intelligence


Math Optimization For Artificial Intelligence
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Author : Umesh Kumar Lilhore
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2025-04-21

Math Optimization For Artificial Intelligence written by Umesh Kumar Lilhore and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-21 with Mathematics categories.


The book presents powerful optimization approaches for integrating AI into daily life. This book explores how heuristic and metaheuristic methodologies have revolutionized the fields of robotics and machine learning. The book covers the wide range of tools and methods that have emerged as part of the AI revolution, from state-of-the-art decision-making algorithms for robots to data-driven machine learning models. Each chapter offers a meticulous examination of the theoretical foundations and practical applications of mathematical optimization, helping readers understand how these methods are transforming the field of technology. This book is an invaluable resource for researchers, practitioners, and students. It makes AI optimization accessible and comprehensible, equipping the next generation of innovators with the knowledge and skills to further advance robotics and machine learning. While artificial intelligence constantly evolves, this book sheds light on the path ahead.



Artificial Intelligence And Computer Vision For Ecological Informatics


Artificial Intelligence And Computer Vision For Ecological Informatics
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Author : Siddharth Singh Chouhan
language : en
Publisher: CRC Press
Release Date : 2025-08-27

Artificial Intelligence And Computer Vision For Ecological Informatics written by Siddharth Singh Chouhan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-27 with Technology & Engineering categories.


Ecological informatics, more commonly known as Ecoinformatics, is the study of environmental sciences and ecological information. It is an emerging interdisciplinary framework for the management, analysis, and synthesis of ecological data with the help of advanced computational intelligence algorithms. Management in this context is data acquisition, preprocessing, and sharing the data. Analysis and synthesis are the process of extracting useful information and forecasting with the help of intelligent algorithms. The aim of this book is to encapsulate concepts and theories of artificial intelligence and computer vision algorithms used for the evaluation of various ecological informatics applications. It focuses on soft computing, machine learning, deep learning, artificial intelligence, bio-inspired algorithms, data analysis tools, data visualization tools, and computer vision algorithms used in ecological informatics. The book covers remote sensing applications, water bodies evaluation, agriculture mapping, aquatic mapping, forest management, and terrestrial ecosystems. The book will be useful to students, researchers, scientists, and field experts in directing their work towards this domain, to deliver and design models and prototypes for the benefit of society and the environment.



Computational Intelligence And Intelligent Systems


Computational Intelligence And Intelligent Systems
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Author : Hu Peng
language : en
Publisher: Springer
Release Date : 2019-02-07

Computational Intelligence And Intelligent Systems written by Hu Peng and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-07 with Computers categories.


This book constitutes the thoroughly refereed proceedings of the 10th International Symposium, ISICA 2018, held in Jiujiang, China, in October 2018.The 32 full papers presented were carefully reviewed and selected from 83 submissions. The papers are organized in topical sections on nature-inspired computing; bio-inspired computing; novel operators in evolutionary algorithms; automatic object segmentation and detection; and image colorization; multilingual automatic document classication and translation; knowledge-based articial intelligence; predictive data mining.