Optimizing Ai And Machine Learning Solutions

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Optimizing Ai And Machine Learning Solutions

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Author : Mirza Rahim Baig
language : en
Publisher: BPB Publications
Release Date : 2024-03-04

Optimizing Ai And Machine Learning Solutions written by Mirza Rahim Baig and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-04 with Computers categories.

Build high-impact ML/AI solutions by optimizing each step KEY FEATURES ● Build and fine-tune models for maximum performance. ● Practical tips to make your own state-of-the-art AI/ML models. ● ML/AI problem solving tips with multiple case studies to tackle real-world challenges. DESCRIPTION This book approaches data science solution building using a principled framework and case studies with extensive hands-on guidance. It will teach the readers optimization at each step, whether it is problem formulation or hyperparameter tuning for deep learning models. This book keeps the reader pragmatic and guides them toward practical solutions by discussing the essential ML concepts, including problem formulation, data preparation, and evaluation techniques. Further, the reader will be able to learn how to apply model optimization with advanced algorithms, hyperparameter tuning, and strategies against overfitting. They will also benefit from deep learning by optimizing models for image processing, natural language processing, and specialized applications. The reader can put theory into practice with hands-on case studies and code examples, reinforcing their understanding. With this book, the reader will be able to create high-impact, high-value ML/AI solutions by optimizing each step of the solution building process, which is the ultimate goal of every data science professional. WHAT YOU WILL LEARN ● End-to-end solutions to ML/AI problems. ● Data augmentation and transfer learning. ● Optimizing AI/ML solutions at each step of development. ● Multiple hands-on real case studies. ● Choose between various ML/AI models. WHO THIS BOOK IS FOR This book empowers data scientists, developers, and AI enthusiasts at all levels to unlock the full potential of their ML solutions. This guide equips you to become a confident AI optimization expert. TABLE OF CONTENTS 1. Optimizing a Machine Learning /Artificial Intelligence Solution 2. ML Problem Formulation: Setting the Right Objective 3. Data Collection and Pre-processing 4. Model Evaluation and Debugging 5. Imbalanced Machine Learning 6. Hyper-parameter Tuning 7. Parameter Optimization Algorithms 8. Optimizing Deep Learning Models 9. Optimizing Image Models 10. Optimizing Natural Language Processing Models 11. Transfer Learning

Cloud Erp Implementations A Comprehensive Guide To Oracle Financials And Master Data Management

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Author : Vinay Kumar Gali Dr Shakeb Khan
language : en
Publisher: DeepMisti Publication
Release Date : 2025-01-16

Cloud Erp Implementations A Comprehensive Guide To Oracle Financials And Master Data Management written by Vinay Kumar Gali Dr Shakeb Khan and has been published by DeepMisti Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-16 with Computers categories.

In the digital age, where businesses must adapt to rapidly changing environments, enterprise resource planning (ERP) systems have become the backbone of operational efficiency and strategic decision-making. Among the myriad of ERP solutions, cloud-based ERP platforms have emerged as game-changers, offering unparalleled flexibility, scalability, and cost efficiency. For organizations seeking to integrate robust financial management and master data strategies, Oracle Financials stands out as a leading solution. However, navigating the complexities of Cloud ERP implementations requires careful planning, deep expertise, and a clear roadmap. Cloud ERP Implementations: A Comprehensive Guide to Oracle Financials and Master Data Management is designed to provide that roadmap. This book serves as a practical and detailed guide for IT professionals, project managers, and business leaders tasked with implementing Oracle Financials in a cloud environment while ensuring the integrity and reliability of master data. Inside, you’ll find: • A detailed overview of Oracle Financials and its core functionalities in a cloud ERP ecosystem. • Step-by-step guidance for planning, deploying, and managing Oracle Financials implementations. • Best practices for designing and maintaining master data management (MDM) frameworks to ensure consistency and accuracy across systems. • Insights into overcoming common challenges such as data migration, integration with legacy systems, and user adoption. • Real-world examples and case studies to illustrate successful implementation strategies. This book is structured to cater to professionals at various levels of expertise. Whether you are new to cloud ERP or a seasoned Oracle Financials consultant, the content provides actionable insights and practical knowledge that you can apply directly to your projects. As you journey through the chapters, you’ll gain a holistic understanding of how Oracle Financials can drive efficiency, compliance, and financial accuracy, while mastering the critical role of data management in ensuring long-term success. In a world where technology is the cornerstone of competitive advantage, mastering the intricacies of cloud ERP implementations can position your organization for sustainable growth and resilience. With this guide, you’re equipped to lead successful Oracle Financials projects that empower your business to thrive in the cloud-first era. Welcome to the world of Cloud ERP. Let’s unlock its potential together. Authors

Introduction To Artificial Intelligence And Machine Learning With Ebook Access Code

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Author : R. Kelly Rainer
language : en
Publisher: John Wiley & Sons
Release Date : 2025-09-17

Introduction To Artificial Intelligence And Machine Learning With Ebook Access Code written by R. Kelly Rainer 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 2025-09-17 with Computers categories.

Helps students unlock the power of AI and Machine Learning to achieve business success and future-proof their careers Artificial intelligence and machine learning are transforming the modern workplace, making AI literacy a critical skill for business professionals. Introduction to Artificial Intelligence and Machine Learning equips students with essential AI/ML knowledge and practical skills, enabling them to leverage cutting-edge technology in today’s data-driven world. With an engaging and accessible approach, this textbook ensures that students—regardless of technical background—gain a working knowledge of AI/ML systems. Concise, easy-to-digest chapters blend foundational concepts with real-world applications to help students develop the expertise needed to implement AI/ML solutions across industries. For instructors, the textbook offers flexible teaching methodologies, whether focusing on conceptual discussions, light technology applications, or full AI/ML projects. With a clear business perspective and a strong emphasis on AI governance and deployment, the textbook prepares students to navigate the future of AI in the workplace with confidence. Helping students build a solid foundation in key concepts while exploring strategic implementation and ethical considerations, Introduction to Artificial Intelligence and Machine Learning is ideal for undergraduate and graduate students in business, engineering, and healthcare programs taking courses such as Business Analytics, Information Systems, and AI Strategy. WILEY ADVANTAGE Provides an introduction to artificial intelligence and machine learning designed to make complex concepts understandable Prepares students for AI-driven careers by aligning learning objectives with employer demand for AI/ML skills Explains AI/ML model development, deployment, and maintenance with clear step-by-step guidance Integrates real-world business applications and case studies to demonstrate AI/ML’s impact across industries Discusses governance in AI/ML to facilitate responsible implementation and decision-making Includes practical coding exercises and in-class projects to build essential AI/ML skills for the workforce Features a robust suite of instructor resources, including an extensive Instructor’s Manual, Test Bank, and PowerPoint slides AN INTERACTIVE, MULTIMEDIA LEARNING EXPERIENCE This textbook includes access to an interactive, multimedia e-text. Icons throughout the print book signal corresponding digital content in the e-text. Video Clips created by the author complement the text and engage students more deeply with AI/ML concepts and applications. Interactive Questions appear in each chapter of the enhanced e-text, providing students with immediate feedback to strengthen learning.

Optimizing Patient Outcomes Through Multi Source Data Analysis In Healthcare

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Author : John Joseph, Ferdin Joe
language : en
Publisher: IGI Global
Release Date : 2025-05-28

Optimizing Patient Outcomes Through Multi Source Data Analysis In Healthcare written by John Joseph, Ferdin Joe and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-28 with Computers categories.

The landscape of healthcare is transformed by the integration of advanced data analytics, especially in the realm of multi-source data analysis. By combining diverse datasets, such as electronic health records (EHRs), genetic information, wearable device data, and patient-reported outcomes, healthcare providers can gain a comprehensive understanding of a patient's health status. This approach creates more personalized treatment plans, enhances diagnostic accuracy, and supports early detection of potential health issues. Communication between various data sources allows for the identification of hidden trends and patterns, improving predictive capabilities and optimizing patient outcomes. As healthcare systems adopt this data-driven process, it is crucial to address challenges related to data privacy, integration, and the interpretation of complex datasets, ensuring the potential benefits of multi-source data analysis are realized in ethical and effective ways. Optimizing Patient Outcomes Through Multi-Source Data Analysis in Healthcare explores the transformative potential of big data and AI in healthcare, focusing on informed decision-making. It delves into the integration of vast, diverse datasets, analyzed through AI algorithms to enhance patient outcomes and operational efficiency. This book covers topics such as automation, machine learning, and neural networks, and is a useful resource for healthcare professionals, computer engineers, business owners, academicians, researchers, and data scientists.

Comprehensive Technology Solutions Offered By Solveforce And Partners

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Author : Ron Legarski
language : en
Publisher: SolveForce
Release Date : 2024-09-14

Comprehensive Technology Solutions Offered By Solveforce And Partners written by Ron Legarski and has been published by SolveForce this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-14 with Technology & Engineering categories.

In today's rapidly evolving digital landscape, SolveForce and its partners deliver unparalleled expertise in telecommunications and technology solutions. This comprehensive guide explores how SolveForce integrates advanced technologies—such as high-speed internet, cloud computing, cybersecurity, artificial intelligence (AI), and Everything as a Service (XaaS)—to revolutionize global connectivity. Through detailed explanations and real-world case studies, Comprehensive Technology Solutions Offered by SolveForce and Partners illustrates how businesses of all sizes can leverage cutting-edge solutions to enhance efficiency, security, and scalability. From managing complex cloud infrastructures to deploying next-generation telecommunications networks, this book highlights how SolveForce tailors its services to meet the unique needs of industries navigating the digital transformation of Industry 4.0. A must-read for business leaders, IT professionals, and technology enthusiasts, this book provides a clear and insightful roadmap for utilizing technology to thrive in the modern world.

Supply Chain Transformation Through Generative Ai And Machine Learning

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Author : Sabri, Ehap
language : en
Publisher: IGI Global
Release Date : 2025-01-23

Supply Chain Transformation Through Generative Ai And Machine Learning written by Sabri, Ehap and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-23 with Business & Economics categories.

The transformative role of Generative Artificial Intelligence (AI) and Machine Learning (ML) in supply chain management is increasingly being recognized as a game-changer in the industry. Recent statistics underscore this trend, highlighting the rapid adoption and significant impact of these technologies. However, the path to digital transformation is not without its challenges. Despite improved success rates, about 60% of digital transformation initiatives in supply chains still struggle to fully meet their objectives. This shortfall is often attributed to several key factors: the complexity and scale of integrating new technologies into existing systems; organizational resistance to change and inadequate stakeholder buy-in; lack of skilled professionals adept in these new technologies; insufficient data governance and quality; and underestimation of the need for a robust change management strategy. These challenges highlight the critical need for a comprehensive approach that addresses both the technical and human aspects of digital transformation. Supply Chain Transformation Through Generative AI and Machine Learning is a comprehensive resource to the best practices in digital enablement, change management, and process optimization, with a specific focus on Generative AI and ML. It equips readers with the knowledge and strategies necessary for successful integration of these technologies, drawing on the latest industry insights and expert recommendations, to enhance supply chain efficiency and effectiveness, reduce costs, and drive revenue growth. Covering topics such as AI-powered visual models, demand planning, and product clustering, this book is an excellent resource for executives, business leaders, program managers, data scientists, AI and ML developers, industry analysts, consultants, professionals, scholars, researchers, academicians, and more.

Innovations And Dynamics In Photonics And Electronics

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Author : Vijaya Katti
language : en
Publisher: Springer Nature
Release Date : 2025-03-30

Innovations And Dynamics In Photonics And Electronics written by Vijaya Katti and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-30 with Technology & Engineering categories.

The fields of photonics and electronics are at the heart of technological innovation, driving progress across industries and shaping the future of human connectivity, automation, and sustainability. The book is a comprehensive exploration of the critical developments, economic strategies, and cutting-edge technologies revolutionizing these domains. This book delves into India's unique position in the global electronics landscape, emphasizing its export strength and comparative advantages. It examines the dynamic role of investments, economic models, and incentives in building self-reliance and boosting domestic manufacturing. The importance of supply chain management in fostering technological growth is discussed, along with the transformative potential of adopting circular economy principles for sustainability. The book also explores the synergy between photonics, electronics, and artificial intelligence, highlighting advancements in machine learning that are redefining possibilities in the field. From optimizing manufacturing processes to harnessing AI-driven solutions, this book offers insights into how technology is reshaping the world of electronics and photonics. Whether you are an academic, a policymaker, an industry professional, or a student of technology and innovation, this book provides a rich foundation for understanding the dynamic forces shaping the future of photonics and electronics in India and beyond.

Mastering Sap Techno Solutions Advanced Techniques For Optimizing Business Processes Sustainable Transportation Future

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Author :
language : en
Publisher: DeepMisti Publication
Release Date : 2025-01-18

Mastering Sap Techno Solutions Advanced Techniques For Optimizing Business Processes Sustainable Transportation Future written by and has been published by DeepMisti Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-18 with Computers categories.

In a world where technology underpins every aspect of business, SAP solutions have emerged as indispensable tools for organizations striving to streamline operations, drive innovation, and achieve sustainable growth. From optimizing supply chains to enabling real-time decision-making, SAP’s versatile platforms empower businesses to remain agile and competitive in an ever- changing marketplace. "Mastering SAP Techno Solutions: Advanced Techniques for Optimizing Business Processes & Sustainable Transportation Future" is a comprehensive guide that delves deep into the intersection of SAP technologies and strategic business transformation. Designed for IT professionals, business leaders, and SAP enthusiasts, this book explores cutting-edge approaches to harnessing SAP solutions for maximum impact, particularly in the realm of sustainable transportation and environmentally conscious operations. In this book, readers will discover: • Advanced techniques for configuring and optimizing SAP systems to enhance business efficiency. • Integration strategies for unifying SAP solutions with emerging technologies such as IoT, AI, and blockchain. • Practical insights into leveraging SAP modules for sustainable supply chain and transportation management. • Case studies highlighting innovative applications of SAP in fostering eco-friendly business practices. • Future trends in SAP development and their implications for digital transformation. As sustainability becomes a core objective for businesses globally, this book places a special emphasis on how SAP solutions can drive green initiatives, reduce carbon footprints, and enable smarter, more efficient transportation systems. By blending technical expertise with visionary strategies, this book provides readers with actionable knowledge to thrive in the modern era of digitalization and environmental responsibility. Authors

Integrative Machine Learning And Optimization Algorithms For Disease Prediction

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Author : Muniasamy, Anandhavalli
language : en
Publisher: IGI Global
Release Date : 2025-07-03

Integrative Machine Learning And Optimization Algorithms For Disease Prediction written by Muniasamy, Anandhavalli and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-03 with Medical categories.

Integrative approaches that combine machine learning (ML) and optimization algorithms rapidly transform the landscape of disease prediction and healthcare analytics. By leveraging the predictive power of ML models alongside the efficiency of optimization techniques, researchers can develop more accurate, robust, and scalable systems for early diagnosis and risk assessment. These hybrid frameworks enable the integration of diverse data sources into cohesive predictive models. The synergy between ML and optimization enhances model performance while supporting personalized medicine by tailoring predictions to individual patient profiles. Integrative methodologies hold significant promises for advancing clinical decision-making and improving health outcomes. Integrative Machine Learning and Optimization Algorithms for Disease Prediction explores the cutting-edge applications of machine learning, deep learning, and optimization algorithms in disease prediction. It examines how diverse machine learning models, from traditional algorithms to deep learning and ensemble methods, can be optimized for high-stakes clinical predictions. This book covers topics such as disease prediction, healthcare data, and mental health, and is a useful resource for computer engineers, medical professionals, academicians, researchers, and scientists.

Machine And Deep Learning Solutions For Achieving The Sustainable Development Goals

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Author : Ruiz-Vanoye, Jorge A.
language : en
Publisher: IGI Global
Release Date : 2025-03-07

Machine And Deep Learning Solutions For Achieving The Sustainable Development Goals written by Ruiz-Vanoye, Jorge A. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-07 with Computers categories.

Achieving the United Nations' Sustainable Development Goals (SDGs) requires innovative solutions that address global challenges such as climate change, poverty, and social inequality. Artificial intelligence (AI), machine learning, and data-driven technologies offer transformative potential by optimizing resource management, improving healthcare outcomes, and enhancing decision-making processes. However, integrating AI into sustainable development efforts presents ethical, technical, and policy-related challenges that must be carefully navigated. A multidisciplinary approach is essential to ensure these technologies are applied inclusively and responsibly, maximizing their positive societal impact. Machine and Deep Learning Solutions for Achieving the Sustainable Development Goals enhances understanding and application of machine learning, deep learning, data mining and AI technologies in the context of the SDGs. It fills the gap by linking theory and practice and addresses both the opportunities and challenges inherent in this intersection. Covering topics such as demand side management, agricultural productivity, and smart manufacturing, this book is an excellent resource for engineers, computer scientists, practitioners, policymakers, professionals, researchers, scholars, academicians, and more.