Massive Data

This book presents the Committee on the Analysis of Massive Data's work to make sense of the current state of data analysis for mining of massive sets of data, to identify gaps in the current practice and to develop methods to fill these gaps. The issue includes the committee's recommendations, details concerning types of data that build into massive data, and information on the seven computational giants of massive data analysis.

The proliferation of massive data sets brings with it a series of special computational challenges. This "data avalanche" arises in a wide range of scientific and commercial applications. With advances in computer and information technologies, many of these challenges are beginning to be addressed by diverse inter-disciplinary groups, that indude computer scientists, mathematicians, statisticians and engineers, working in dose cooperation with application domain experts.

This book introduces an integrated conceptual framework of the China Seismic Experimental Site (CSES), describes its scientific challenges and research priorities, and reports preliminary results coming out of observational infrastructure in seismology, tectonophysics, geodesy, geophysics and geochemistry. Preliminary community fault model, community velocity model, and community strain rate model in the CSES are described in this book.

Learn various techniques to build a Google scale Information Retrieval System.

Data Science & Machine Learning A-Z & Kaggle with Heart Attack Prediction projects and Machine Learning Python projects

Complete hands-on machine learning tutorial with data science, Tensorflow, artificial intelligence, and neural networks.

Microsoft Azure Databricks helps you to harness the power of distributed computing and apply it to create robust data pipelines, along with training and deploying machine learning and deep learning models.

This book introduces an integrated conceptual framework of the China Seismic Experimental Site (CSES), describes its scientific challenges and research priorities, and reports preliminary results coming out of observational infrastructure in seismology, tectonophysics, geodesy, geophysics and geochemistry. Preliminary community fault model, community velocity model, and community strain rate model in the CSES are described in this book.