Machine Learning for Sustainable Development

The book will focus on the applications of machine learning for sustainable development, highlighting its benefits in forecasting and predicting various sectors.

\n Format: Hardback
\n Length: 214 pages
\n Publication date: 20 July 2021
\n Publisher: De Gruyter
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The book delves into the captivating realm of machine learning, exploring its profound applications in the pursuit of sustainable development. Machine learning (ML), a rapidly evolving technology, holds immense potential for widespread diffusion and adoption across diverse sectors, including energy, agriculture, the internet of things, and infrastructure. Its transformative impact is poised to bring about remarkable benefits, making it a cornerstone of sustainable progress.

At the forefront of this technological revolution is the state-of-the-art of machine learning models, which possess unparalleled capabilities for forecasting and predicting diverse sectors' prospects for sustainable development. By harnessing the power of ML algorithms, researchers and practitioners can gain valuable insights into the trends, patterns, and drivers that shape our world, enabling them to make informed decisions that promote environmental sustainability, social well-being, and economic prosperity.

The book takes readers on a journey through the latest advancements in machine learning, covering a wide range of topics such as supervised learning, unsupervised learning, deep learning, and reinforcement learning. It provides a comprehensive understanding of the underlying principles, algorithms, and techniques employed in ML, enabling readers to apply them to real-world problems and achieve groundbreaking results.

Furthermore, the book emphasizes the importance of interdisciplinary collaboration in the field of machine learning. It highlights the need for partnerships between experts from various domains, including computer science, statistics, environmental science, and social science, to address complex sustainability challenges. By leveraging the collective expertise and knowledge of these diverse stakeholders, we can create holistic solutions that address the interconnectedness of our planet and its inhabitants.

In conclusion, the book serves as a valuable resource for researchers, policymakers, and practitioners seeking to harness the power of machine learning for sustainable development. It provides a comprehensive and accessible introduction to the field, while also offering insights into the latest research and applications. As we navigate the challenges of our time, the applications of machine learning will undoubtedly play a pivotal role in shaping a more sustainable and resilient future for generations to come.

\n Weight: 498g\n
Dimension: 180 x 246 x 18 (mm)\n
ISBN-13: 9783110702484\n \n