A First Course in Statistical Inference
Offers a modern and accessible introduction to Statistical Inference, the science of inferring key information from data. ...
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AI and IoT for smart city applications / Vincenzo Piuri, Rabindra Nath Shaw, Ankush Ghosh, Rabiul Islam
Provides a valuable combination of relevant research works on developing smart city ecosystem from the artificial intelligence ...
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Advance Concepts of Image Processing and Pattern Recognition : Effective Solution for Global Challenges / Narendra Kumar, Celia Shahnaz, Krishna Kumar, Mazin Abed Mohammed, Ram Shringar Raw
Explains the important concepts and principles of image processing to implement the algorithms and techniques to discover ...
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Advances in Big Data Analytics: Theory, Algorithms and Practices / Yong Shi
Provides a comprehensive and cutting-edge study on big data analytics, based on the research findings and applications developed ...
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Artificial Intelligence with Python / Teik Toe Teoh, Zheng Rong
Introduces readers to various topics and examples of programming in Python, as well as key concepts in artificial intelligence. ...
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Automated Machine Learning
This book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions ...
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Big Data: An Art of Decision Making / Eglantine Schmitt
Manipulating and processing masses of digital data is never a purely technical activity. It requires an interpretative and ...
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Data Journeys in the Sciences
This groundbreaking, book analyses and compares data practices across several fields through the analysis of specific cases ...
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Data Science and Data Analytics : Opportunities and Challenges / Amit Kumar Tyagi
Gives the concept of data science, tools, and algorithms that exist for many useful applications Provides many challenges ...
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Data Science in Theory and Practice: Techniques for Big Data Analytics and Complex Data Sets / Maria Cristina Mariani, Osei Kofi Tweneboah, Maria Pia Beccar-Varela
Delivers a comprehensive treatment of the mathematical and statistical models useful for analyzing data sets arising in various ...
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Data Science on the Google Cloud Platform : Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning / Valliappa Lakshmanan
Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build ...
Continue readingData Science-Based Full-Lifespan Management of Lithium-Ion Battery : Manufacturing, Operation and Reutilization
This book comprehensively consolidates studies in the rapidly emerging field of battery management. The primary focus is ...
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Deep Learning with PyTorch Lightning: Build and train high-performance artificial intelligence and self-supervised models using Python / Kunal Sawarkar, Dheeraj Arremsetty
You’ll learn how to configure PyTorch Lightning on a cloud platform, understand the architectural components, and explore ...
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Designing Big Data Platforms: How to Use, Deploy, and Maintain Big Data Systems / Yusuf Aytas
Provides expert guidance and valuable insights on getting the most out of Big Data systems. Helps readers understand how ...
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Driving digital transformation through data and AI : a practical guide to delivering data science and machine learning products / Alexander Borek, Nadine Prill
Explains how to build the organizational capability to deliver Data and AI products and drive immediate business results ...
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Earth Observation Open Science and Innovation
The digital transformation is revolutionizing our ability to monitor our planet and transforming the way we access, process ...
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Introduction to Data Systems
Encompassing a broad range of forms and sources of data, this textbook introduces data systems through a progressive presentation. ...
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Introduction to Scientific Programming with Python
This book offers an initial introduction to programming for scientific and computational applications using the Python programming ...
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Kernel Methods for Machine Learning with Math and Python : 100 Exercises for Building Logic / Joe Suzuki
Addresses the fundamentals of kernel methods for machine learning by considering relevant math problems and building Python ...
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Machine Learning : The Basics / Alexander Jung
Approaches ML as the computational implementation of the scientific principle. This principle consists of continuously adapting ...
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