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3 books on Weather [PDF]
October 24, 2024 | 24 |
Books on Weather serve as valuable resources for startups dedicated to advancing AI-based weather forecasting solutions. These resources offer a comprehensive foundation, covering various aspects of meteorology, climate science, and data analysis techniques essential for accurate weather predictions. They delve into topics such as numerical weather modeling, remote sensing, and climate simulations, providing insights into the complex processes that govern weather patterns. Moreover, these books often include practical examples, case studies, and best practices, allowing startups to learn from successful weather forecasting models and implementations.
1. Artificial Intelligence in Short
2024 by Ryan Richardson Barrett
"Artificial Intelligence in Short" is a concise exploration of the fundamental concepts underlying AI and machine learning. Written in accessible language and supported by practical examples, this book demystifies complex topics such as computer vision and large language models without delving into mathematical formulas or technical jargon. The narrative maintains a light and approachable tone, guiding readers through the foundational principles of machine learning and progressing to more advanced concepts in cybernetics and ethics. It incorporates the latest research in AI and computer science while tracing the historical evolution of AI and how machines learn. By relating AI concepts to everyday applications, the book illustrates how AI has become integral to modern devices and daily life experiences for countless individuals.
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2. Artificial Intelligence for Space: AI4SPACE: Trends, Applications, and Perspectives
2023 by Matteo Madi, Olga Sokolova
"Artificial Intelligence for Space: AI4SPACE: Trends, Applications and Perspectives" offers a comprehensive exploration of AI's role across the diverse domains of the modern space industry. This book navigates through the intricate value chain of space-related activities, highlighting how advancements in AI and Machine Learning are driving transformation within the sector. Authored by Prof. Dr. Oliver Ullrich, Director of the Innovation Cluster Space and Aviation (UZH Space Hub) at the University of Zurich, Switzerland, the book delves into AI's profound implications, emerging trends and transformative potential in space exploration and technology. Aimed at a broad audience including space engineers, policy makers, technical experts and enthusiasts, it provides practical insights into implementing AI within space technologies, addressing both opportunities and challenges. The book covers diverse AI applications such as enhancing Earth Observation data, robotics for space exploration, astrophysics research, in-orbit servicing innovations and safety enhancements for space tourism. With contributions from interdisciplinary teams spanning government, private sectors, computer science and legal expertise, "Artificial Intelligence for Space" remains up-to-date with the latest developments and cutting-edge applications in the field.
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3. Artificial Intelligence of Things for Weather Forecasting and Climatic Behavioral Analysis
2022 by Gupta, Rajeev Kumar, Jain, Arti, Wang, John, Singh, Ved Prakash, Bharti, Santosh
"Artificial Intelligence of Things for Weather Forecasting and Climatic Behavioral Analysis" explores innovative approaches to traditional weather forecasting and climate analysis methods, which have historically relied on complex physics models and atmospheric variables. These conventional techniques often encounter challenges in providing comprehensive and accurate weather and climate data. To address these limitations, the book introduces advanced technologies centered around Artificial Intelligence of Things (AIoT) models as promising solutions. It emphasizes the importance of further research into AIoT and its application in enhancing weather forecasting precision and analyzing climatic behaviors. The book delves into practical AIoT applications for interpreting weather patterns and leveraging weather information for crucial decisions in agriculture, aviation and disaster management. Topics covered include deep learning, remote sensing and their specific applications in meteorology. This comprehensive reference is essential for data scientists, industry professionals, researchers, educators and students seeking insights into leveraging AIoT to advance weather forecasting and climatic analysis.
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How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
1. Artificial Intelligence in Short
2024 by Ryan Richardson Barrett
"Artificial Intelligence in Short" is a concise exploration of the fundamental concepts underlying AI and machine learning. Written in accessible language and supported by practical examples, this book demystifies complex topics such as computer vision and large language models without delving into mathematical formulas or technical jargon. The narrative maintains a light and approachable tone, guiding readers through the foundational principles of machine learning and progressing to more advanced concepts in cybernetics and ethics. It incorporates the latest research in AI and computer science while tracing the historical evolution of AI and how machines learn. By relating AI concepts to everyday applications, the book illustrates how AI has become integral to modern devices and daily life experiences for countless individuals.
Download PDF
2. Artificial Intelligence for Space: AI4SPACE: Trends, Applications, and Perspectives
2023 by Matteo Madi, Olga Sokolova
"Artificial Intelligence for Space: AI4SPACE: Trends, Applications and Perspectives" offers a comprehensive exploration of AI's role across the diverse domains of the modern space industry. This book navigates through the intricate value chain of space-related activities, highlighting how advancements in AI and Machine Learning are driving transformation within the sector. Authored by Prof. Dr. Oliver Ullrich, Director of the Innovation Cluster Space and Aviation (UZH Space Hub) at the University of Zurich, Switzerland, the book delves into AI's profound implications, emerging trends and transformative potential in space exploration and technology. Aimed at a broad audience including space engineers, policy makers, technical experts and enthusiasts, it provides practical insights into implementing AI within space technologies, addressing both opportunities and challenges. The book covers diverse AI applications such as enhancing Earth Observation data, robotics for space exploration, astrophysics research, in-orbit servicing innovations and safety enhancements for space tourism. With contributions from interdisciplinary teams spanning government, private sectors, computer science and legal expertise, "Artificial Intelligence for Space" remains up-to-date with the latest developments and cutting-edge applications in the field.
Download PDF
3. Artificial Intelligence of Things for Weather Forecasting and Climatic Behavioral Analysis
2022 by Gupta, Rajeev Kumar, Jain, Arti, Wang, John, Singh, Ved Prakash, Bharti, Santosh
"Artificial Intelligence of Things for Weather Forecasting and Climatic Behavioral Analysis" explores innovative approaches to traditional weather forecasting and climate analysis methods, which have historically relied on complex physics models and atmospheric variables. These conventional techniques often encounter challenges in providing comprehensive and accurate weather and climate data. To address these limitations, the book introduces advanced technologies centered around Artificial Intelligence of Things (AIoT) models as promising solutions. It emphasizes the importance of further research into AIoT and its application in enhancing weather forecasting precision and analyzing climatic behaviors. The book delves into practical AIoT applications for interpreting weather patterns and leveraging weather information for crucial decisions in agriculture, aviation and disaster management. Topics covered include deep learning, remote sensing and their specific applications in meteorology. This comprehensive reference is essential for data scientists, industry professionals, researchers, educators and students seeking insights into leveraging AIoT to advance weather forecasting and climatic analysis.
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
