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This book focuses on the combination of IoT and data science, in particular how methods, algorithms, and tools from... Read More >>
Data Mining and Machine Learning for Biomedical Applications is a rigorous practical introduction to the fundamentals... Read More >>
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This volume constitutes the selected papers presented at the First International Conference on Advanced Network... Read More >>
Analyzing business data points with greater precision, efficiency, and speed KEY FEATURES ● Exposure to work... Read More >>
It further offers the suite of the algorithms that implement the method in the software and comprehensively evaluates... Read More >>
A practical guide to making good decisions in a world of missing dataIn the era of big data, it is easy to imagine... Read More >>
This book includes high-quality papers presented at the Second International Conference on Data Science and Management... Read More >>
This book provides conceptual understanding of machine learning algorithms though supervised, unsupervised, and... Read More >>
This book presents how federated learning helps to understand and learn from user activity in Internet of Things... Read More >>
Nowadays, medical data is available in many different forms like MRI images, CT scan images, EHR data, test reports,... Read More >>
This text highlights the difference between analytics and data science, using predictive analytic techniques to... Read More >>
The field of crash reconstruction has been transformed through the use of technology. The advent of event data records... Read More >>
Introduces theories and practices for using assessment data to enhance learning and instruction. Topics include... Read More >>
Representation learning in heterogeneous graphs (HG) is intended to provide a meaningful vector representation for... Read More >>
Design for large-scale, high-performance queries using Snowflake’s query processing engine to empower data consumers... Read More >>
This book constitutes the proceedings of the 17th International Conference on Advanced Data Mining and Applications,... Read More >>
This book constitutes revised papers from the International Workshops held at the 19th International Conference... Read More >>
Data science and machine learning—two of the world's hottest fields—are attracting talent from a wide variety of... Read More >>
The book trains readers to break down various ML applications and methods in terms of data, model, and loss, thus... Read More >>
This two-volume set constitutes the post-conference proceedings of the 5th EAI International Conference on Advanced... Read More >>