Artificial Intelligence And Machine Learning For Real World Applications
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Artificial Intelligence And Machine Learning For Real World Applications
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Author : LATESH. ARORA MALIK (SANDHYA. SHRAWANKAR, URMILA.)
language : en
Publisher:
Release Date : 2025-10-14
Artificial Intelligence And Machine Learning For Real World Applications written by LATESH. ARORA MALIK (SANDHYA. SHRAWANKAR, URMILA.) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-14 with Computers categories.
This book introduces foundational and advanced concepts in artificial intelligence and machine learning, focusing on their real-world applications and societal implications. Covering topics from knowledge representation and model interpretability to deep learning and Generative AI, it includes practical Python implementations and case studies from healthcare, agriculture, and education. Beginning with core concepts such as AI fundamentals, knowledge representation, and statistical techniques, it gradually advances to cover machine learning algorithms, deep learning architectures, and the basics of Generative AI. Detailed discussions of data preprocessing, model training, evaluation metrics, and Python-based implementation make this book both practical and accessible. Offers real-world examples and case studies illustrating the societal impact and practical applications of AI and ML technologies Discusses data pre-processing techniques, model selection, and evaluation metrics, with practical implementation in Python and in detail Explores AI problem-solving processes, knowledge representation, and model training strategies, catering to readers with varying levels of technical expertise Covers AI and ML principles, spanning statistical techniques, machine learning algorithms, deep learning structures and Generative AI basics. Focuses on societal applications in healthcare, agriculture, and education, addressing challenges faced by elderly and special needs individuals This book is for professionals, researchers and scholars interested in the application of artificial intelligence and machine learning.
Advances In Artificial Intelligence And Machine Learning Applications For The Imaging Of Bone And Soft Tissue Tumors
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Author : Brandon K. K. Fields
language : en
Publisher: Frontiers Media SA
Release Date : 2025-01-03
Advances In Artificial Intelligence And Machine Learning Applications For The Imaging Of Bone And Soft Tissue Tumors written by Brandon K. K. Fields and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-03 with Science categories.
Increasing interest in the development and validation of quantitative imaging biomarkers for oncologic imaging has in recent years inspired a surge in the field of artificial intelligence and machine learning. Initial results showed promise in identifying potential markers of treatment response, malignant potential, and prognostic predictors, among others; however, while many of these early algorithms showed the optimistic ability to separate pathologic states on “in-house” datasets, it was often the case that these classifiers generalized poorly on external validation sets and thus were of limited utility in the clinical setting. This issue was additionally compounded by the frequent use of data filtering and feature selection techniques in many studies to further bolster the machine learning results in limited case scenarios, thereby biasing the overall fit and further reducing generalizability.
Artificial Intelligence And Machine Learning In Smart City Planning
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Author : Vedik Basetti
language : en
Publisher: Elsevier
Release Date : 2023-01-11
Artificial Intelligence And Machine Learning In Smart City Planning written by Vedik Basetti and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-11 with Science categories.
Artificial Intelligence and Machine Learning in Smart City Planning shows the reader practical applications of AIML techniques and describes recent advancements in this area in various sectors. Owing to the multidisciplinary nature, this book primarily focuses on the concepts of AIML and its methodologies such as evolutionary techniques, neural networks, machine learning, deep learning, block chain technology, big data analytics, and image processing in the context of smart cities. The text also discusses possible solutions to different challenges posed by smart cities by presenting cutting edge AIML techniques using different methodologies, as well as future directions for those same techniques. - Reviews the smart city concept and teaches how it can contribute to achieving urban development priorities - Explains soft computing techniques for smart city applications - Describes how to model problems for effective analysis, intelligent decision making, and optimal operation and control in the smart city paradigm - Teaches how to carry out independent projects using soft computing techniques in a vast range of areas in diverse fields like engineering, management, and sciences
Realworld Machine Learning For Software Leaders
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Author : Sachin Medavarapu
language : en
Publisher: Notion Press
Release Date : 2025-04-12
Realworld Machine Learning For Software Leaders written by Sachin Medavarapu and has been published by Notion Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-12 with Education categories.
Machine learning is revolutionizing industries, yet many professionals struggle to bridge the gap between abstract theories and realworld applications. RealWorld Machine Learning for Software Leaders is a practical guide for software professionals, technology executives, and decisionmakers to understand and apply machine learning in real business environments. This book offers a clear, structured approach to machine learning, focusing on realworld applications rather than complex mathematics. It covers concepts like classification techniques, support vector machines, decision trees, ensemble learning, deep learning, natural language processing, and reinforcement learning. Whether you're a technology leader integrating machine learning into your organization, a software engineer seeking practical applications, or a business strategist exploring AIdriven solutions, this book will provide the knowledge needed to make informed decisions. Key Highlights: Understand how machine learning is applied in software engineering and business contexts. Gain insights into critical ML techniques and practical use cases. Learn about the challenges and considerations of implementing AI solutions. Explore realworld examples of machine learning across industries. This book is essential for those looking to leverage machine learning to drive innovation and strategic growth.
Artificial Intelligence Based Smart And Secured Applications
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Author : Sridaran Rajagopal
language : en
Publisher: Springer Nature
Release Date : 2025-04-11
Artificial Intelligence Based Smart And Secured Applications written by Sridaran Rajagopal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-11 with Computers categories.
The six-volume set, CCIS 2424 - 2429, constitutes the refereed proceedings of the Third International Conference on Advances in Smart Computing and Information Security, ASCIS 2024, held in Rajkot, Gujarat, India, in October 16–18, 2024. The 138 full papers and 43 short papers presented in these six volumes were carefully reviewed and selected from 667 submissions.The papers presented in these six volumes are organized in the following topical sections: Part I, II, III, IV: Artificial Intelligence & Machine Learning Part V: Smart Computing; Network and Cloud Computing. Part VI: Cyber Security; Computer Application for Sustainability.
Cutting Edge Artificial Intelligence Advances And Implications In Real World Applications
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Author : Walayat Hussain
language : en
Publisher: CRC Press
Release Date : 2025-06-30
Cutting Edge Artificial Intelligence Advances And Implications In Real World Applications written by Walayat Hussain and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-30 with Computers categories.
Artificial intelligence (AI) is impacting industries worldwide by introducing new methods and altering traditional practices. This book examines AI’s diverse effects, providing insights into its applications, challenges, and future prospects across education, healthcare, finance, and more. The chapters explore how AI technologies, such as large language models, enhance feedback in higher education and influence legal studies while upholding academic integrity. A review of key technical approaches—knowledge-based systems, machine learning, and intelligent optimization—lays the groundwork for understanding AI’s potential. Real-world examples illustrate AI’s role in medical imaging, presenting new diagnostic methods and the use of language models for image interpretation. The book also discusses financial applications, including techniques for credit card fraud detection and forecasting natural gas prices using innovative models. Additionally, it covers personalized federated learning models, highlighting the importance of data privacy and security in AI’s evolution. This comprehensive guide is valuable for educators, researchers, practitioners, and students interested in AI’s current and future developments. By combining theory with practical examples, the book offers readers a clear understanding of how AI affects various sectors, enabling them to engage effectively with this rapidly evolving field.
Artificial Intelligence Machine Learning And User Interface Design
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Author : Abhijit Banubakode
language : en
Publisher: Bentham Science Publishers
Release Date : 2024-05-10
Artificial Intelligence Machine Learning And User Interface Design written by Abhijit Banubakode and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-10 with Computers categories.
Artificial Intelligence, Machine Learning and User Interface Design is a forward-thinking compilation of reviews that explores the intersection of Artificial Intelligence (AI), Machine Learning (ML) and User Interface (UI) design. The book showcases recent advancements, emerging trends and the transformative impact of these technologies on digital experiences and technologies. The editors have compiled 14 multidisciplinary topics contributed by over 40 experts, covering foundational concepts of AI and ML, and progressing through intricate discussions on recent algorithms and models. Case studies and practical applications illuminate theoretical concepts, providing readers with actionable insights. From neural network architectures to intuitive interface prototypes, the book covers the entire spectrum, ensuring a holistic understanding of the interplay between these domains. Use cases of AI and ML highlighted in the book include categorization and management of waste, taste perception of tea, bird species identification, content-based image retrieval, natural language processing, code clone detection, knowledge representation, tourism recommendation systems and solid waste management. Advances in Artificial Intelligence, Machine Learning and User Interface Design aims to inform a diverse readership, including computer science students, AI and ML software engineers, UI/UX designers, researchers, and tech enthusiasts.
Machine Learning It S Algorithms Models And Applications In Finance And Biomedical Fields And Challenges
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Author : Mr. Pavan Patel
language : en
Publisher: Xoffencerpublication
Release Date : 2023-02-22
Machine Learning It S Algorithms Models And Applications In Finance And Biomedical Fields And Challenges written by Mr. Pavan Patel and has been published by Xoffencerpublication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-22 with Computers categories.
A classic example of a complicated system and one of the most fiercely argued and discussed topics is the monetary and economic system. It is made up of a very diverse group of participants, such as banks, mutual funds, hedge funds, insurance firms, pension funds, and shadow banks. Every one of them not only communicates directly with one another but also with the actual economy, which is in and of itself an extremely complicated system. The worldwide financial crisis that started in 2008 is the perfect illustration of a developing phenomena, which is one of the defining characteristics of a complex system. A confluence of events served as the catalyst for the catastrophe. Although there is no complete consensus on the causes of the crisis, there is a widespread belief that the crisis can be summarized as follows: Mortgage-backed securities were a financial market innovation that brought greater convenience to lenders. This led to an increase in the number of loans extended to households and the purchase of large amounts of overdraft securities. Mortgage-backed securities were one of the factors that contributed to the 2008 financial crisis. Credit liberalization helped develop a housing bubble, and when it burst, multiple global large corporations held substantial mortgage-backed securities in the portfolios of most financial institutions. caused great losses. The loosening of lending standards was another factor that led to the expansion of the housing market. As a result, credit was suspended, which prevented the core activities of the real economy from obtaining funding. As a result, there was a global recession that caused an estimated fifty trillion dollars in losses in the global economy. This is equivalent to half of one year's world GDP.
Machine Learning
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Author : Chandra S.S., Vinod
language : en
Publisher: PHI Learning Pvt. Ltd.
Release Date : 2021-01-01
Machine Learning written by Chandra S.S., Vinod and has been published by PHI Learning Pvt. Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-01 with Computers categories.
The present book is primarily intended for undergraduate and postgraduate students of computer science and engineering, information technology, and electrical and electronics engineering. It bridges the gaps in knowledge of the seemingly difficult areas of machine learning and nature inspired computing. The text is written in a highly interactive manner, which satisfies the learning curiosity of any reader. Content of the text has been diligently organized to offer seamless learning experience. The text begins with introduction to machine learning, which is followed by explanation of different aspects of machine learning. Various supervised, unsupervised, reinforced and nature inspired learning techniques are included in the text book with numerous examples and case studies. Different aspects of new machine learning and nature inspired learning algorithms are explained in-depth. The well-explained algorithms and pseudo codes for each topic make this book useful for students. The book also throws light on areas like prediction and classification systems. Key Features • Day to day examples and pictorial representations for deeper understanding of the subject • Helps readers easily create programs/applications • Research oriented approach • More case studies and worked-out examples for each machine learning algorithm than any other book
Challenges And Applications For Implementing Machine Learning In Computer Vision
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Author : Kashyap, Ramgopal
language : en
Publisher: IGI Global
Release Date : 2019-10-04
Challenges And Applications For Implementing Machine Learning In Computer Vision written by Kashyap, Ramgopal and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-04 with Computers categories.
Machine learning allows for non-conventional and productive answers for issues within various fields, including problems related to visually perceptive computers. Applying these strategies and algorithms to the area of computer vision allows for higher achievement in tasks such as spatial recognition, big data collection, and image processing. There is a need for research that seeks to understand the development and efficiency of current methods that enable machines to see. Challenges and Applications for Implementing Machine Learning in Computer Vision is a collection of innovative research that combines theory and practice on adopting the latest deep learning advancements for machines capable of visual processing. Highlighting a wide range of topics such as video segmentation, object recognition, and 3D modelling, this publication is ideally designed for computer scientists, medical professionals, computer engineers, information technology practitioners, industry experts, scholars, researchers, and students seeking current research on the utilization of evolving computer vision techniques.