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Keamanan Data dan Informasi
Buku ajar "Keamanan Data dan Informasi" membahas berbagai aspek penting terkait perlindungan data di era digital. Buku ini menjelaskan konsep dasar keamanan data, yang mencakup perlindungan terhadap akses, modifikasi, dan penghancuran yang tidak sah. Tiga pilar utama dalam keamanan informasi—Confidentiality (kerahasiaan), Integrity (keutuhan), dan Availability (ketersediaan)—dijelaskan sebagai prinsip dasar yang harus dijaga untuk memastikan keamanan data dalam berbagai konteks, termasuk bisnis dan pemerintahan. Buku ini juga menekankan pentingnya keamanan data dan informasi dalam melindungi informasi sensitif dari akses yang tidak sah, serta memastikan kepatuhan terhadap standar dan reg...
Machine Learning for Computer Vision
Computer vision is the science and technology of making machines that see. It is concerned with the theory, design and implementation of algorithms that can automatically process visual data to recognize objects, track and recover their shape and spatial layout. The International Computer Vision Summer School - ICVSS was established in 2007 to provide both an objective and clear overview and an in-depth analysis of the state-of-the-art research in Computer Vision. The courses are delivered by world renowned experts in the field, from both academia and industry, and cover both theoretical and practical aspects of real Computer Vision problems. The school is organized every year by University of Cambridge (Computer Vision and Robotics Group) and University of Catania (Image Processing Lab). Different topics are covered each year. A summary of the past Computer Vision Summer Schools can be found at: http://www.dmi.unict.it/icvss This edited volume contains a selection of articles covering some of the talks and tutorials held during the last editions of the school. The chapters provide an in-depth overview of challenging areas with key references to the existing literature.
Machine Learning with TensorFlow, Second Edition
Updated with new code, new projects, and new chapters, Machine Learning with TensorFlow, Second Edition gives readers a solid foundation in machine-learning concepts and the TensorFlow library. Summary Updated with new code, new projects, and new chapters, Machine Learning with TensorFlow, Second Edition gives readers a solid foundation in machine-learning concepts and the TensorFlow library. Written by NASA JPL Deputy CTO and Principal Data Scientist Chris Mattmann, all examples are accompanied by downloadable Jupyter Notebooks for a hands-on experience coding TensorFlow with Python. New and revised content expands coverage of core machine learning algorithms, and advancements in neural net...
Decision Support Systems
The conceptual foundation for DSS; Developing and using DSS; The architecture for DSS; Creating the DSS environment; The evolving DSS domain; DSS application; DSS bibliography; Index.
Applied Data Science
This book has two main goals: to define data science through the work of data scientists and their results, namely data products, while simultaneously providing the reader with relevant lessons learned from applied data science projects at the intersection of academia and industry. As such, it is not a replacement for a classical textbook (i.e., it does not elaborate on fundamentals of methods and principles described elsewhere), but systematically highlights the connection between theory, on the one hand, and its application in specific use cases, on the other. With these goals in mind, the book is divided into three parts: Part I pays tribute to the interdisciplinary nature of data science...
Data Science and Its Applications
The term "data" being mostly used, experimented, analyzed, and researched, "Data Science and its Applications" finds relevance in all domains of research studies including science, engineering, technology, management, mathematics, and many more in wide range of applications such as sentiment analysis, social medial analytics, signal processing, gene analysis, market analysis, healthcare, bioinformatics etc. The book on Data Science and its applications discusses about data science overview, scientific methods, data processing, extraction of meaningful information from data, and insight for developing the concept from different domains, highlighting mathematical and statistical models, operat...
Deep Learning Applications
Deep learning is a branch of machine learning similar to artificial intelligence. The applications of deep learning vary from medical imaging to industrial quality checking, sports, and precision agriculture. This book is divided into two sections. The first section covers deep learning architectures and the second section describes the state of the art of applications based on deep learning.
A Profile of the Global Auto Industry
This is the first book on the global auto industry viewed through the lens of technology. It starts by tracing how innovation shaped the first century of its history, then it examines the industry’s shifting footprint in Europe and North America, and the rise of new producers, particularly China. Succeeding chapters emphasize the role of suppliers in what is now a high-tech industry. This book describes new forms of collaboration that challenge traditional supply chain relations, analyzing regulation as a driver of innovation, and the enabling role of the materials science revolution, such as the shift of steel from a commodity to a highly engineered product. It covers innovations in management, from computer-aided engineering, roadmapping, and just-in-time methods to the evolving role of workers and public policy. The authors finish with an overview of electric vehicles, shared mobility, and autonomous vehicles, concluding that they will not prove disruptive.
The Surprise Family
A baby chicken accepts a young boy as her mother and later becomes a surrogate mother for some ducklings that she has hatched.
