Machine Learning Mastery Deep Learning And Natural Language Processing Integration
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Machine Learning Mastery Deep Learning And Natural Language Processing Integration
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Author : Dr.Talluri.Sunil Kumar
language : en
Publisher: SK Research Group of Companies
Release Date : 2024-07-24
Machine Learning Mastery Deep Learning And Natural Language Processing Integration written by Dr.Talluri.Sunil 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 2024-07-24 with Computers categories.
Dr.Talluri.Sunil Kumar, Professor, Department of CSE-(CyS, DS) and AI&DS, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India. Dr.Sagar Yeruva, Associate Professor, Department of CSE - AIML & IoT, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India.
Machine Learning Mastery Advanced Integration Of Deep Learning And Nlp
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Author : Mrs.B.Kiranmayee Reddy
language : en
Publisher: SK Research Group of Companies
Release Date : 2025-05-20
Machine Learning Mastery Advanced Integration Of Deep Learning And Nlp written by Mrs.B.Kiranmayee Reddy 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: Mrs.B.Kiranmayee Reddy, Assistant Professor, Department of Computer Science and Engineering (AI&ML), G. Pulla Reddy Engineering College (Autonomous), Kurnool, Andhra Pradesh, India. Mrs.M.Sharmila Devi, Assistant Professor, Department of CSE, Santhiram Engineering College (Autonomous), Nandyal, Andhra Pradesh, India. Dr.G.Hemanth Kumar Yadav, Associate Professor, Department of Computer Science and Engineering (AI & ML), Srinivasa Ramanujan Institute of Technology (Autonomous), Anantapur, Andhra Pradesh, India. Mr.Kondanna Kanamaneni, Assistant Professor, Department of Computer Science and Engineering, Srinivasa Ramanujan Institute of Technology (Autonomous), Anantapur, Andhra Pradesh, 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.
Machine Learning Mastery Algorithms And Applications
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Author : Michael Roberts
language : en
Publisher: Richards Education
Release Date :
Machine Learning Mastery Algorithms And Applications written by Michael Roberts and has been published by Richards Education this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Unlock the power of machine learning with Machine Learning Mastery: Algorithms and Applications. This comprehensive guide covers everything from fundamental concepts to advanced techniques, providing a deep dive into the algorithms that power modern AI and their practical applications across various industries. Whether you're a beginner looking to get started or an experienced practitioner seeking to deepen your knowledge, this book offers a structured and detailed exploration of data preprocessing, supervised and unsupervised learning, reinforcement learning, and deep learning. Learn how to evaluate and optimize models, deploy machine learning solutions, and navigate the ethical and practical challenges of implementing AI in the real world. With case studies and hands-on examples, Machine Learning Mastery is your essential companion on the journey to becoming a proficient machine learning expert.
Machine Learning Mastery Algorithms Applications And Insights
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Author : Dr. Pramod Kumar
language : en
Publisher: Xoffencerpublication
Release Date : 2023-08-14
Machine Learning Mastery Algorithms Applications And Insights written by Dr. Pramod Kumar and has been published by Xoffencerpublication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-14 with Computers categories.
Machine learning is an area of artificial intelligence (AI) that focuses on the development of algorithms and models that allow computers to learn and make predictions or judgments without being explicitly programmed. This is accomplished by teaching the computer to learn from its own experiences. The creation and development of computer systems that are able to automatically analyze and understand complicated data in order to enhance their performance over time is the focus of this field. The foundation of machine learning is the construction of mathematical models that are capable of gaining knowledge from data. These models are educated using a collection of instances that have been labeled. This collection of examples is referred to as the training data, and it includes input features as well as output labels or goal values. Adjusting the model's internal parameters or weights in accordance with the patterns and relationships discovered in the data is what the training process entails. This is done with the intention of achieving a gap that is as narrow as possible between the anticipated outputs and the actual values. Reinforcement learning is a paradigm that entails an agent interacting with an environment and learning to make a series of choices or actions in order to maximize a cumulative reward. This paradigm was developed by Edward de Bono. The agent is provided with feedback in the form of incentives or penalties according to its actions, which teaches it the optimum behavior via the process of trial and error. The methodologies of machine learning are becoming more prevalent in a broad variety of fields and applications. Image and audio recognition, natural language processing, recommendation systems, fraud detection, autonomous cars, and medical diagnostics are just few of the numerous applications that may benefit from AI. Programming languages such as Python and R, in addition to libraries and frameworks such as scikit-learn, TensorFlow, and PyTorch, are often used when it comes to the implementation of machine learning algorithms. These tools offer a comprehensive array of functions and utilities for the preparation of data, as well as for the training, assessment, and deployment of models. Learning via machines is an active topic that is developing at a quick pace because to continuing research and technological breakthroughs. The potential for employing machine learning to tackle difficult issues and promote innovation is continuing to develop as more data becomes accessible and as computer power grows.
Deep Learning For Natural Language Processing
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Author : Jason Brownlee
language : en
Publisher: Machine Learning Mastery
Release Date : 2017-11-21
Deep Learning For Natural Language Processing written by Jason Brownlee and has been published by Machine Learning Mastery this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-21 with Computers categories.
Deep learning methods are achieving state-of-the-art results on challenging machine learning problems such as describing photos and translating text from one language to another. In this new laser-focused Ebook, finally cut through the math, research papers and patchwork descriptions about natural language processing. Using clear explanations, standard Python libraries and step-by-step tutorial lessons you will discover what natural language processing is, the promise of deep learning in the field, how to clean and prepare text data for modeling, and how to develop deep learning models for your own natural language processing projects.
Thinking Machines The Path To Artificial Intelligence Mastery
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Author : SREEKUMAR V T
language : en
Publisher: SREEKUMAR V T
Release Date : 2025-02-25
Thinking Machines The Path To Artificial Intelligence Mastery written by SREEKUMAR V T and has been published by SREEKUMAR V T this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-25 with Antiques & Collectibles categories.
Embark on a riveting journey into the heart of artificial intelligence with "Thinking Machines: The Path to Artificial Intelligence Mastery." This ground-breaking book serves as a compass for both novices and seasoned professionals navigating the multifaceted landscape of AI. As the era of thinking machines unfolds, this comprehensive guide provides a roadmap for understanding, mastering, and ethically harnessing the transformative power of artificial intelligence. Delve into the core principles of AI as the authors meticulously unravel the intricacies of machine learning, deep learning, and cognitive computing. The narrative seamlessly combines technical depth with accessible language, making it an indispensable resource for readers at all levels of expertise. From foundational concepts to cutting-edge advancements, each chapter is a stepping stone towards true AI mastery. Uncover the secrets behind the evolution of AI, exploring its historical milestones, from early automation to the emergence of thinking machines. The narrative unfolds through vivid storytelling, offering insights into the minds of AI pioneers and the pivotal moments that shaped the field. It's not just a book; it's a chronicle of the relentless pursuit of artificial intelligence mastery. The book's exploration extends beyond algorithms and code, delving into the ethical dimensions of AI. It grapples with questions of bias, transparency, and responsible deployment, guiding readers towards a holistic understanding of AI's impact on society. As thinking machines become integral to our daily lives, this book acts as a beacon, emphasizing the importance of human-centric design, collaboration, and ethical governance. "Thinking Machines" is not just a manual; it's an invitation to participate in the ongoing AI revolution. Engage with practical applications, emerging trends, and the societal implications of AI. The authors illuminate the path forward, where education, adaptability, and a commitment to continuous learning are key components of AI mastery. Whether you're a curious enthusiast, a budding AI practitioner, or an industry expert, this book is your companion on the journey to mastering artificial intelligence. It invites you to envision a future where thinking machines contribute to a more enlightened, innovative, and interconnected world. "Thinking Machines" is not just a guide; it's an odyssey into the future of AI mastery, inviting readers to shape the narrative of thinking machines and their impact on humanity.
Ai Mastery For Business Success 3 Books In 1
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Author : AI Profit Lab
language : en
Publisher: AI Profit Lab
Release Date :
Ai Mastery For Business Success 3 Books In 1 written by AI Profit Lab and has been published by AI Profit Lab this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Unlock Advanced Strategies to Scale Your Business, Boost Efficiency, and Thrive in the Artificial Intelligence Economy Master the strategies top professionals and businesses use to harness artificial intelligence and stay ahead of the competition. Are outdated processes, inefficiencies, and uncertainty about AI holding your business back? Struggling to attract clients, streamline operations, or implement AI effectively? The fast-changing AI landscape can feel overwhelming—but with the right strategies, it can become your greatest asset. This 3-in-1 guide combines The Complete Guide to Building and Running an AI Agency, Accelerate Your Business with AI, and The Complete Guide to Prompt Engineering to give you the tools to integrate AI, attract high-value clients, and thrive in an AI-driven world. Inside, you’ll learn: ✅ How to build and scale a profitable AI agency that stands out in the market. ✅ Proven strategies to streamline operations, reduce costs, and boost efficiency using AI. ✅ The art of prompt engineering to unlock AI’s full potential for superior results. ✅ Real-world case studies showcasing successful AI adoption. ✅ AI applications in marketing, HR, and customer experience to give your business a competitive edge. ✅ How to stay ahead of AI trends and adopt ethical practices for long-term success. Whether you're building an AI agency, integrating AI into your business, or mastering tools like ChatGPT, this guide has you covered. Stop falling behind—transform your business with AI today. Get your copy of AI Mastery for Business Success 3 Books in 1 and thrive in the AI economy! 🚀
Intelligent Computing Optimization
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Author : Pandian Vasant
language : en
Publisher: Springer Nature
Release Date : 2022-10-20
Intelligent Computing Optimization written by Pandian Vasant and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-20 with Technology & Engineering categories.
This book of Springer Nature is another proof of Springer’s outstanding and greatness on the lively interface of Smart Computational Optimization, Green ICT, Smart Intelligence and Machine Learning! It is a Master Piece of what our community of academics and experts can provide when an Interconnected Approach of Joint, Mutual and Meta Learning is supported by Modern Operational Research and Experience of the World-Leader Springer Nature! The 5th edition of International Conference on Intelligent Computing and Optimization took place at October 27–28, 2022, via Zoom. Objective was to celebrate “Creativity with Compassion and Wisdom” with researchers, scholars, experts and investigators in Intelligent Computing and Optimization across the planet, to share knowledge, experience, innovation—a marvelous opportunity for discourse and mutuality by novel research, invention and creativity. This proceedings book of ICO’2022 is published by Springer Nature—Quality Label of wonderful.
Advanced Computing
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Author : Deepak Garg
language : en
Publisher: Springer Nature
Release Date : 2022-02-07
Advanced Computing written by Deepak Garg and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-07 with Computers categories.
This volume constitutes reviewed and selected papers from the 11th International Advanced Computing Conference, IACC 2021, held in December 2021. The 47 full papers and 4 short papers presented in the volume were thorougly reviewed and selected from 246 submissions. The papers are organized in the following topical sections: application of artificial intelligence and machine learning in healthcare; application of AI for emotion and behaviour prediction; problem solving using reinforcement learning and analysis of data; advance uses of RNN and regression techniques; special intervention of AI.
Data Science Ai And Blockchain
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Author : Ekaaksh Deshpande
language : en
Publisher: Educohack Press
Release Date : 2025-02-20
Data Science Ai And Blockchain written by Ekaaksh Deshpande and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-20 with Computers categories.
"Data Science, AI, and Blockchain: Integrated Approaches" emerges as a beacon for undergraduate students navigating the intricate landscapes of these transformative technologies. Our primary objective is to empower students with a comprehensive understanding of the synergy between Data Science, Artificial Intelligence (AI), and Blockchain, recognizing them as pivotal forces propelling innovation across diverse industries. We begin with Data Science, centered on extracting knowledge and insights from vast datasets, navigating through fundamental principles, methodologies, and tools. Real-world applications illustrate the significance of data-driven decision-making. Seamlessly moving into Artificial Intelligence, the book demystifies the algorithms underpinning intelligent systems. By weaving together theoretical concepts with practical examples, students gain insights into machine learning, natural language processing, and computer vision. Ethical considerations accompany the exploration, urging students to contemplate societal impacts. The exploration culminates in Blockchain, a revolutionary technology disrupting traditional notions of trust and transparency. Students understand how Blockchain secures transactions, empowers smart contracts, and transforms industries. Practical insights into building decentralized applications (DApps) are provided. Interactive elements, case studies, and exercises engage students actively. By fostering a multidisciplinary approach, we aim to equip undergraduates with the knowledge and skills needed to thrive in a world where the convergence of Data Science, AI, and Blockchain is reshaping the future.