Richter – Case-Based Reasoning A Textbook – New paperback or softba – S9000z
Price : 86.94
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If you’re interested in learning more about Case-Based Reasoning, then you’re in luck! The new paperback or softback edition of “Richter – Case-Based Reasoning: A Textbook” is now available for purchase. This comprehensive book covers all the essential aspects of Case-Based Reasoning, including its applications, methodologies, and theoretical foundations. Whether you’re a student or a professional looking to expand your knowledge in this field, this textbook is a must-have resource. Get your hands on a copy of “Richter – Case-Based Reasoning: A Textbook” in the S9000z format today!
#Richter #CaseBased #Reasoning #Textbook #paperback #softba #S9000z, artificial intelligence
Tag: CASEBASED
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Richter – Case-Based Reasoning A Textbook – New paperback or softba – S9000z
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Case-Based Reasoning Research and Development: 29th International Conference, ICCBR 2021, Salamanca, Spain, September 13–16, 2021, Proceedings (Lecture Notes in Artificial Intelligence)
Price: $84.99
(as of Dec 28,2024 02:36:38 UTC – Details)
Publisher : Springer; 1st ed. 2021 edition (September 10, 2021)
Language : English
Paperback : 340 pages
ISBN-10 : 3030869563
ISBN-13 : 978-3030869564
Item Weight : 1.15 pounds
Dimensions : 6.1 x 0.77 x 9.25 inches
Join us for the 29th International Conference on Case-Based Reasoning Research and Development (ICCBR 2021) taking place in Salamanca, Spain from September 13-16, 2021. This conference will feature a wide range of topics related to case-based reasoning and its applications in various fields.The proceedings of ICCBR 2021 will be published in the prestigious Lecture Notes in Artificial Intelligence series, showcasing the latest research and developments in the field. Researchers, practitioners, and students from around the world will gather to present their work, exchange ideas, and collaborate on cutting-edge research in case-based reasoning.
Don’t miss this opportunity to be a part of the leading conference in case-based reasoning research and development. Stay tuned for updates on the conference program, keynote speakers, workshops, and more. We look forward to welcoming you to Salamanca for ICCBR 2021!
#CaseBased #Reasoning #Research #Development #29th #International #Conference #ICCBR #Salamanca #Spain #September #Proceedings #Lecture #Notes #Artificial #Intelligence -
Case-Based Reasoning Research and Development: 27th International Conference, ICCBR 2019, Otzenhausen, Germany, September 8–12, 2019, Proceedings (Lecture Notes in Artificial Intelligence)
Price: $54.99
(as of Dec 27,2024 18:44:21 UTC – Details)
Join us at the 27th International Conference on Case-Based Reasoning Research and Development (ICCBR 2019), taking place in Otzenhausen, Germany from September 8-12, 2019. This conference brings together experts and researchers in the field of artificial intelligence to discuss the latest advancements in case-based reasoning.The proceedings of ICCBR 2019 will be published in the Lecture Notes in Artificial Intelligence series, showcasing cutting-edge research and developments in the field. Attendees can look forward to presentations, workshops, and networking opportunities with leading professionals in the industry.
Don’t miss this exciting opportunity to engage with the latest innovations in case-based reasoning. Register now to secure your spot at ICCBR 2019 and be a part of shaping the future of artificial intelligence. We look forward to seeing you in Otzenhausen!
#CaseBased #Reasoning #Research #Development #27th #International #Conference #ICCBR #Otzenhausen #Germany #September #Proceedings #Lecture #Notes #Artificial #Intelligence -
CASE-BASED REASONING: A CONCISE INTRODUCTION (SYNTHESIS By Beatriz Lopez *Mint*
CASE-BASED REASONING: A CONCISE INTRODUCTION (SYNTHESIS By Beatriz Lopez *Mint*
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CASE-BASED REASONING: A CONCISE INTRODUCTIONIn her synthesis titled “Case-Based Reasoning: A Concise Introduction,” Beatriz Lopez explores the fundamentals of case-based reasoning (CBR) and its applications in various fields. CBR is a problem-solving approach that relies on past experiences, or cases, to solve new problems by finding the most similar case and adapting its solution to the current situation.
Lopez highlights the key components of CBR, including case representation, similarity assessment, and adaptation. Case representation involves encoding past experiences in a structured format that allows for easy retrieval and comparison. Similarity assessment is the process of determining how similar a new problem is to past cases, while adaptation involves modifying the solution from a similar case to fit the current problem.
The author also discusses the advantages of CBR, such as its ability to handle complex and ill-defined problems, its flexibility in adapting to new situations, and its efficiency in reusing past solutions. CBR has been successfully applied in various domains, including healthcare, finance, and engineering, where there is a wealth of historical data to draw upon.
Overall, Lopez’s synthesis provides a clear and concise introduction to the principles and applications of case-based reasoning. Whether you are a beginner looking to understand the basics of CBR or a seasoned professional seeking to enhance your problem-solving skills, this synthesis is a valuable resource for anyone interested in this innovative approach to decision-making.
#CASEBASED #REASONING #CONCISE #INTRODUCTION #SYNTHESIS #Beatriz #Lopez #Mint, artificial intelligence -
APPLIED DEEP LEARNING: A CASE-BASED APPROACH TO By Umberto Michelucci
APPLIED DEEP LEARNING: A CASE-BASED APPROACH TO By Umberto Michelucci
Price : 99.49
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View on eBayIn this post, we will explore the book “APPLIED DEEP LEARNING: A CASE-BASED APPROACH” by Umberto Michelucci. This book offers a practical and hands-on approach to understanding deep learning concepts by using real-world case studies.
Deep learning has revolutionized the field of artificial intelligence and machine learning, allowing for the development of powerful models that can learn and make predictions from complex data. However, many people find deep learning intimidating due to its complex mathematical and technical concepts.
In this book, Umberto Michelucci breaks down deep learning into easily digestible chunks by presenting a series of case studies that demonstrate how deep learning can be applied to solve real-world problems. Each case study is accompanied by step-by-step explanations, code snippets, and practical tips that help readers understand and implement deep learning techniques.
Whether you are a beginner or an experienced practitioner in the field of deep learning, “APPLIED DEEP LEARNING: A CASE-BASED APPROACH” provides valuable insights and guidance on how to effectively apply deep learning in your own projects. So, if you are interested in mastering deep learning through practical examples, be sure to check out this book by Umberto Michelucci.
#APPLIED #DEEP #LEARNING #CASEBASED #APPROACH #Umberto #Michelucci, deep learning
