Machine Learning Foundations And Applications A Practical Guide To Supervised Unsupervised And Reinforcement Learning
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Machine Learning Foundations And Applications
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Author : Jarrel E
language : en
Publisher:
Release Date : 2025-05-10
Machine Learning Foundations And Applications written by Jarrel E and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-10 with Computers categories.
Master the algorithms powering today's AI revolution. This practical guide breaks down the foundations of machine learning into clear, structured lessons-covering supervised learning, unsupervised learning, and reinforcement learning. Whether you're a student, developer, or data professional, you'll learn how real-world models like linear regression, neural networks, support vector machines, PCA, and Q-learning actually work-mathematically and computationally. This book blends theory with implementation, offering step-by-step explanations, intuitive insights, and practical tools for applying machine learning in business, research, and product development. If you're serious about learning machine learning, this is the book that takes you from first principles to advanced concepts-with clarity, depth, and purpose.
Machine Learning Foundations And Applications A Practical Guide To Supervised Unsupervised And Reinforcement Learning
DOWNLOAD
Author : Jarrel E.
language : en
Publisher: Jarrel E.
Release Date : 2025-05-09
Machine Learning Foundations And Applications A Practical Guide To Supervised Unsupervised And Reinforcement Learning written by Jarrel E. and has been published by Jarrel E. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-09 with Computers categories.
Master the algorithms powering today’s AI revolution. This practical guide breaks down the foundations of machine learning into clear, structured lessons—covering supervised learning, unsupervised learning, and reinforcement learning. Whether you're a student, developer, or data professional, you'll learn how real-world models like linear regression, neural networks, support vector machines, PCA, and Q-learning actually work—mathematically and computationally. This book blends theory with implementation, offering step-by-step explanations, intuitive insights, and practical tools for applying machine learning in business, research, and product development. If you're serious about learning machine learning, this is the book that takes you from first principles to advanced concepts—with clarity, depth, and purpose.
Machine Learning Foundations And Applications
DOWNLOAD
Author : Jarrel E
language : en
Publisher:
Release Date : 2025-05-09
Machine Learning Foundations And Applications written by Jarrel E and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-09 with Computers categories.
Master the algorithms powering today's AI revolution. This practical guide breaks down the foundations of machine learning into clear, structured lessons-covering supervised learning, unsupervised learning, and reinforcement learning. Whether you're a student, developer, or data professional, you'll learn how real-world models like linear regression, neural networks, support vector machines, PCA, and Q-learning actually work-mathematically and computationally. This book blends theory with implementation, offering step-by-step explanations, intuitive insights, and practical tools for applying machine learning in business, research, and product development. If you're serious about learning machine learning, this is the book that takes you from first principles to advanced concepts-with clarity, depth, and purpose.
Practical Guide To Machine Learning Nlp And Generative Ai Libraries Algorithms And Applications
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Author : T. Mariprasath
language : en
Publisher: CRC Press
Release Date : 2024-12-23
Practical Guide To Machine Learning Nlp And Generative Ai Libraries Algorithms And Applications written by T. Mariprasath and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-23 with Computers categories.
This is an essential resource for beginners and experienced practitioners in machine learning. This comprehensive guide covers a broad spectrum of machine learning topics, starting with an in-depth exploration of popular machine learning libraries. Readers will gain a thorough understanding of Scikit-learn, TensorFlow, PyTorch, Keras, and other pivotal libraries like XGBoost, LightGBM, and CatBoost, which are integral for efficient model development and deployment. The book delves into various neural network architectures, providing readers with a solid foundation in understanding and applying these models. Beginning with the basics of the Perceptron and its application in digit classification, it progresses to more complex structures such as multilayer perceptrons for financial forecasting, radial basis function networks for air quality prediction, and convolutional neural networks (CNNs) for image classification. Additionally, the book covers recurrent neural networks (RNNs) and their variants like long short-term memory (LSTM) and gated recurrent units (GRUs), which are crucial for time-series analysis and sequential data applications. Supervised machine learning algorithms are meticulously explained, with practical examples to illustrate their application. The book covers logistic regression and its use in predicting sports outcomes, decision trees for plant classification, random forests for traffic prediction, and support vector machines for house price prediction. Gradient boosting machines and their applications in genomics, AdaBoost for bioinformatics data classification, and extreme gradient boosting (XGBoost) for churn prediction are also discussed, providing readers with a robust toolkit for various predictive tasks. Unsupervised learning algorithms are another significant focus of the book, introducing readers to techniques for uncovering hidden patterns in data. Hierarchical clustering for gene expression data analysis, principal component analysis (PCA) for climate predictions, and singular value decomposition (SVD) for signal denoising are thoroughly explained. The book also explores applications like robot navigation and network security, demonstrating the versatility of these techniques. Natural language processing (NLP) is comprehensively covered, highlighting its fundamental concepts and various applications. The book discusses the overview of NLP, its fundamental concepts, and its diverse applications such as chatbots, virtual assistants, clinical NLP applications, and social media analytics. Detailed sections on text pre-processing, syntactic analysis, machine translation, text classification, named entity recognition, and sentiment analysis equip readers with the knowledge to build sophisticated NLP models. The final chapters of the book explore generative AI, including generative adversarial networks (GANs) for image generation, variational autoencoders for vibrational encoder training, and autoregressive models for time series forecasting. It also delves into Markov chain models for text generation, Boltzmann machines for pattern recognition, and deep belief networks for financial forecasting. Special attention is given to the application of recurrent neural networks (RNNs) for generation tasks, such as wind power plant predictions and battery range prediction, showcasing the practical implementations of generative AI in various fields.
Deep Learning Models Foundations And Applications
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Author : Mr.Balingan Sangameshwar
language : en
Publisher: Leilani Katie Publication
Release Date : 2025-05-01
Deep Learning Models Foundations And Applications written by Mr.Balingan Sangameshwar 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 2025-05-01 with Computers categories.
Mr.Balingan Sangameshwar, Assistant Professor, Department of Computer Science and Engineering - (CyS, DS) and AI & DS, Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering & Technology, Hyderabad, Telangana, India. Mr.Vonteru Srikanth Reddy, Assistant Professor, Department of Computer Science and Engineering (Data Science), Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering & Technology, Hyderabad, Telangana, India. Mr.P.Praveen, Assistant Professor, Department of Computer Science and Engineering, Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering & Technology, Hyderabad, Telangana, India. Mr.Sudheer Nidamanuri, Assistant Professor, Department of Computer Science and Engineering - (CyS, DS) and AI & DS, Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering & Technology, Hyderabad, Telangana, India
Generative Ai And Large Language Models
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Author : Aditya Pratap Bhuyan
language : en
Publisher: Aditya Pratap Bhuyan
Release Date : 2024-07-24
Generative Ai And Large Language Models written by Aditya Pratap Bhuyan and has been published by Aditya Pratap Bhuyan this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-24 with Computers categories.
Artificial Intelligence is reshaping our world, and at the forefront of this revolution are Generative AI and Large Language Models (LLMs). This book, "Generative AI and Large Language Models: Revolutionizing the Future," offers an in-depth exploration of these groundbreaking technologies, delving into their foundations, development, and profound implications for various industries and society as a whole. Starting with a historical overview of AI, the book traces the evolution of machine learning and deep learning, setting the stage for understanding the rise of generative AI. Readers will discover the inner workings of LLMs, from their advanced neural network architectures to the massive datasets and computational power required for their training. Key models, such as the Generative Pre-trained Transformer (GPT) series, are examined in detail, showcasing their remarkable capabilities in natural language processing and beyond. The book also addresses the ethical and social challenges posed by these powerful technologies. Issues such as bias, fairness, and privacy are discussed, alongside the need for transparent and accountable AI systems. Through real-world applications and case studies, readers will see how generative AI is transforming fields like healthcare, finance, content creation, and more. Looking ahead, the book explores future trends and innovations, highlighting potential advancements and the ongoing research aimed at enhancing AI's efficiency and multimodal capabilities. It envisions a future where AI and humans collaborate more closely, driving progress and innovation across all domains. "Generative AI and Large Language Models: Revolutionizing the Future" is an essential read for anyone interested in the cutting-edge of AI technology. Whether you are a researcher, practitioner, or simply curious about the future of AI, this book provides a comprehensive and accessible guide to the transformative power of generative AI and LLMs.
Pem Fuel Cells
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Author : Jasna Jankovic
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2023-05-22
Pem Fuel Cells written by Jasna Jankovic 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 2023-05-22 with Technology & Engineering categories.
This book is a comprehensive introduction to the rapidly developing field of modeling and characterization of PEM fuel cells. It focuses on i) fuel cell performance modeling and performance characterization applicable from single cells to stacks, ii) fundamental and advanced techniques for structural and compositional characterization of fuel cell components and iii) electrocatalyst design. Written by experts in this field, this book is an invaluable tool for graduate students and professionals.
Mastering Data Science A Comprehensive Guide To Techniques And Applications
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Author : Adam Jones
language : en
Publisher: Walzone Press
Release Date : 2025-01-05
Mastering Data Science A Comprehensive Guide To Techniques And Applications written by Adam Jones and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-05 with Computers categories.
Embark on your data science journey with "Mastering Data Science: A Comprehensive Guide to Techniques and Applications," the ultimate resource for mastering the vast landscape of data science. Whether you're a novice eager to explore the field or an expert looking to refine and expand your skills, this book provides a thorough exploration of essential data science techniques and applications. Discover the foundational principles of data wrangling, preprocessing, statistical fundamentals, and essential mathematical techniques. Delve into the complexities of machine learning, deep learning, and natural language processing with clear explanations that connect theory to real-world practice. Each chapter is carefully designed to unravel complex concepts and features practical examples to enhance your understanding. Explore the intricacies of time series analysis, develop proficiency in crafting compelling data visualizations, and learn to effectively deploy machine learning models. With a focus on practical application, this guide not only imparts theoretical insights but also empowers you to address data science challenges confidently. Unlock the potential of data science to innovate, solve critical problems, and make informed decisions in today's data-centric world with "Mastering Data Science: A Comprehensive Guide to Techniques and Applications."
Aws Certification Guide Aws Certified Machine Learning Specialty
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Author : Cybellium
language : en
Publisher: Cybellium Ltd
Release Date :
Aws Certification Guide Aws Certified Machine Learning Specialty written by Cybellium and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
AWS Certification Guide - AWS Certified Machine Learning – Specialty Unleash the Potential of AWS Machine Learning Embark on a comprehensive journey into the world of machine learning on AWS with this essential guide, tailored for those pursuing the AWS Certified Machine Learning – Specialty certification. This book is a valuable resource for professionals seeking to harness the power of AWS for machine learning applications. Inside, You'll Explore: Foundational to Advanced ML Concepts: Understand the breadth of AWS machine learning services and tools, from SageMaker to DeepLens, and learn how to apply them in various scenarios. Practical Machine Learning Scenarios: Delve into real-world examples and case studies, illustrating the practical applications of AWS machine learning technologies in different industries. Targeted Exam Preparation: Navigate the certification exam with confidence, thanks to detailed insights into the exam format, including specific chapters aligned with the certification objectives and comprehensive practice questions. Latest Trends and Best Practices: Stay at the forefront of machine learning advancements with up-to-date coverage of the latest AWS features and industry best practices. Written by a Machine Learning Expert Authored by an experienced practitioner in AWS machine learning, this guide combines in-depth knowledge with practical insights, providing a rich and comprehensive learning experience. Your Comprehensive Resource for ML Certification Whether you are deepening your existing machine learning skills or embarking on a new specialty in AWS, this book is your definitive companion, offering an in-depth exploration of AWS machine learning services and preparing you for the Specialty certification exam. Advance Your Machine Learning Career Beyond preparing for the exam, this guide is about mastering the complexities of AWS machine learning. It's a pathway to developing expertise that can be applied in innovative and transformative ways across various sectors. Start Your Specialized Journey in AWS Machine Learning Set off on your path to becoming an AWS Certified Machine Learning specialist. This guide is your first step towards mastering AWS machine learning and unlocking new opportunities in this exciting and rapidly evolving field. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com
Machine Learning For Industrial Applications
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Author : Kolla Bhanu Prakash
language : en
Publisher: John Wiley & Sons
Release Date : 2024-08-01
Machine Learning For Industrial Applications written by Kolla Bhanu Prakash and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-01 with Computers categories.
The main goal of the book is to provide a comprehensive and accessible guide that empowers readers to understand, apply, and leverage machine learning algorithms and techniques effectively in real-world scenarios. Welcome to the exciting world of machine learning! In recent years, machine learning has rapidly transformed from a niche field within computer science to a fundamental technology shaping various aspects of our lives. Whether you realize it or not, machine learning algorithms are at work behind the scenes, powering recommendation systems, autonomous vehicles, virtual assistants, medical diagnostics, and much more. This book is designed to serve as your comprehensive guide to understanding the principles, algorithms, and applications of machine learning. Whether a student diving into this field for the first time, a seasoned professional looking to broaden your skillset, or an enthusiast eager to explore cutting-edge advancements, this book has something for you. The primary goal of Machine Learning for Industrial Applications is to demystify machine learning and make it accessible to a wide audience. It provides a solid foundation in the fundamental concepts of machine learning, covering both the theoretical underpinnings and practical applications. Whether you’re interested in supervised learning, unsupervised learning, reinforcement learning, or innovative techniques like deep learning, you’ll find comprehensive coverage here. Throughout the book, a hands-on approach is emphasized. As the best way to learn machine learning is by doing, the book includes numerous examples, exercises, and real-world case studies to reinforce your understanding and practical skills. Audience The book will enjoy a wide readership as it will appeal to all researchers, students, and technology enthusiasts wanting a hands-on guide to the new advances in machine learning.