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Introduction to Data Science and Machine Learning
Introduction to Data Science and Machine Learning has been created with the goal to provide beginners seeking to learn about data science, data enthusiasts, and experienced data professionals with a deep understanding of data science application development using open-source programming from start to finish. This book is divided into four sections: the first section contains an introduction to the book, the second covers the field of data science, software development, and open-source based embedded hardware; the third section covers algorithms that are the decision engines for data science applications; and the final section brings together the concepts shared in the first three sections and provides several examples of data science applications.
Development and Disaster Management
This book highlights the relationship between disasters and development through a socio-cultural study of human geography and governance institutions. It studies the cause, context and consequences of disasters in one of the most fragile Himalayan regions in India. The book establishes the fact that disaster management is built within the framework of good governance, without which it has no meaning. For lack of effective and responsive governance, development has lagged behind and even though the frequency of disasters has been increasing, little is being done to redesign developmental frameworks to prevent ensuing losses. Besides, the near absence of governmental support during recurrent d...
AI and Robotics in Disaster Studies
This book promotes a meaningful and appropriate dialogue and cross-disciplinary partnerships on Artificial Intelligence (AI) in governance and disaster management. The frequency and the cost of losses and damages due to disasters are rising every year. From wildfires to tsunamis, drought to hurricanes, floods to landslides combined with chemical, nuclear and biological disasters of epidemic proportions has increased human vulnerability and ecosystem sustainability. Life is not as it used to be and governance to manage disasters cannot be a business as usual. The quantum and proportion of responsibilities with the emergency services has increased many times to strain them beyond their human c...
Beyond Quantity
How do artificial neural networks and other forms of artificial intelligence interfere with methods and practices in the sciences? Which interdisciplinary epistemological challenges arise when we think about the use of AI beyond its dependency on big data? Not only the natural sciences, but also the social sciences and the humanities seem to be increasingly affected by current approaches of subsymbolic AI, which master problems of quality (fuzziness, uncertainty) in a hitherto unknown way. But what are the conditions, implications, and effects of these (potential) epistemic transformations and how must research on AI be configured to address them adequately?
India
Tuli S Auction Catalogues Have Become Essential Reference Publications For Those Seriously Interested In Indian Modern And Contemporary Art. Their Quality Of Research, Design And Pictorial Reproduction Has Set New Standards For Such Catalogues. India: A H
Transformasi Digital dan Daya Saing Seleksi Kasus
Competitiveness atau daya saing telah lama menjadi topik studi dan perdebatan di hubungan intemasional, ekonomi internasional, dan ekonomi-politik internasional. Isu daya saing mendapatkan relevansi baru ketika teknologi digital mempercepat dan mengintensifkan proses globalisasi yang menjadi konteks awal gagasan tentang daya saing. Buku ini adalah wujud dari sebuah upaya untuk mengakumulasi pengetahuan dengan merekam dua tren yang berlangsung bersamaan dan bertautan: transformasi digital dan daya saing. Dalam banyak hal, para partisipan atau pemangku kepentingan di tingkat komunitas dan masyarakat kerap tertinggal dalam diskusi dan perdebatan yang didominasi oleh gagasan besar pada level glo...
