Python Data Science Handbook

Strategies and Tactics in Organic Synthesis provides a forum for investigators to discuss their approach to the science and art of organic synthesis. Rather than a simple presentation of data or a sec

This book reviews forecasting data mining models, from basic tools for stable data through causal models, to more advanced models using trends and cycles. These models are demonstrated on the basis of

The objective of this book is to introduce the basic concepts of big data computing and then to describe the total solution of big data problems using HPCC, an open-source computing platform.The book

Many people may be unsure of what 'structured data' means, but everyone will recognise it: data that resides within a fixed field in a record. At the same time, the web, mobile and social networks, an

Handbook of Antistatics, Second Edition, is the only comprehensive handbook to cover all aspects of antistatic agents, including a complete review of existing literature and patent information on addi

Data mining is an increasingly valuable tool within the institution of higher education. Educational Data Mining (EDM) has emerged as a field in its own right, focusing on data mining techniques

This book introduces fundamentals and trade-offs of data de-duplication techniques. It describes novel emerging de-duplication techniques that remove duplicate data both in storage and network in an e

Generating data is the defining aspect of empirical work. Data in this respect is understood as information-capacitated material that must be discovered, mined, unearthed - or a near limitless range o

This book discusses data privacy in banking and financial services, anonymization principles and practice, test data management, and synthetic data generation. From a practice standpoint, it provides

The Everything Art Handbook is an all-inclusive, go-to resource for artists of any skill level.A refreshing, accessible compendium of materials and techniques, The Everything Art Handbook is the perfe

A systematic introduction to the theory, development and latest research results of radar data processing technology• Presents both classical theory and development methods of radar data processing• P

This book presents cutting edge research on the newethical challenges posed by biomedical Big Data technologies and practices.‘Biomedical Big Data’ refers to the analysis of aggregated, very large dat

The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications

Predictive modeling uses data to forecast future events. It exploits relationships between explanatory variables and the predicted variables from past occurrences to predict future outcomes. Forecasting financial events is a core skill that actuaries routinely apply in insurance and other risk-management applications. Predictive Modeling Applications in Actuarial Science emphasizes life-long learning by developing tools in an insurance context, providing the relevant actuarial applications, and introducing advanced statistical techniques that can be used to gain a competitive advantage in situations with complex data. Volume 2 examines applications of predictive modeling. Where Volume 1 developed the foundations of predictive modeling, Volume 2 explores practical uses for techniques, focusing on property and casualty insurance. Readers are exposed to a variety of techniques in concrete, real-life contexts that demonstrate their value and the overall value of predictive modeling, for se

Data uncertainty widely exists in many applications, and an uncertain data stream is a series of uncertain tuples that arrive rapidly. However, traditional techniques for deterministic data streams ca

The Seafood and Aquaculture Marketing Handbook is an expanded and revised new edition of the Aquaculture Marketing Handbook, originally published in 2009.Markets, marketing and trade have become ever-

This book presents computer programming as a key method for solving mathematical problems. There are two versions of the book, one for MATLAB and one for Python. The book was inspired by the Springer

This handbook captures the breadth and depth of contemporary work in the field, and shows readers important future directions for scholarship. Among the emerging topics covered in the handbook are org

Never has it been more essential to work in the world of data. Scholars and students need to be able to analyze, design and curate information into useful tools of communication, insight and understan

The field of data mining is receiving significant attention in today's information-rich society, where data is available from different sources and formats, in large volumes, and no longer constitutes

This book presents and explains the methods utilized to apply techniques from big data to massive structural data sets, especially those relating to the generation and analysis of very large networks

From the first tally, scratched on a wolf bone over thirty thousand years ago, to the Large Hadron Collider, which produces forty million megabytes of data per second, data is big, and getting bigger.

Flow Measurement Handbook is a reference for engineers on flow measurement techniques and instruments. It strikes a balance between laboratory ideas and the realities of field experience and provides practical advice on design, operation and performance of flowmeters. It begins with a review of essentials: accuracy, flow, selection and calibration methods. Each chapter is then devoted to a flowmeter class and includes information on design, application installation, calibration and operation. Among the flowmeters discussed are differential pressure devices such as orifice and Venturi, volumetric flowmeters such as positive displacement, turbine, vortex, electromagnetic, magnetic resonance, ultrasonic, acoustic, multiphase flowmeters and mass meters, such as thermal and Coriolis. There are also chapters on probes, verification and remote data access.

This book presents different use cases in big data applications and related practical experiences. Many businesses today are increasingly interested in utilizing big data technologies for supporting t

Big data is a broad term that defines the structured or unstructured data sets. It is a challenging field which includes analysis, transfer and visualization of data. This book presents in-depth descr

This book addresses three challenging issues related to Big Data. First, how do we aggregate heterogeneous types of data from numerous sources and then use fast database management technology to store

In this book, Helen Kennedy argues that as social media data mining becomes more and more ordinary, as we post, mine and repeat, new data relations emerge. These new data relations are characterised b

This volume covers a large area, from the description of methodologies for data analysis to the real application. Chapters focus on methodologies for preprocessing of microarray data, a survey of miRN

This book covers the key ideas that link probability, statistics, and machine learning illustrated using Python modules in these areas. The entire text, including all the figures and n

Designing Data Reports that Work provides research-based best practices for constructing effective data systems in schools and for designing reports that are relevant, necessary, and easily understood

This book covers three major parts of Big Data: concepts, theories and applications. Written by world-renowned leaders in Big Data, this book explores the problems, possible solutions and directi

The world has become digital and technological advances have multiplied circuits with access to data, their processing and their diffusion. New technologies have now reached a certain maturity. Data a

Since publication of the bestselling Environmental Data Analysis with MATLABR, many advances have been made in environmental data analysis. This new edition expands fundamentally on the original with

In an era where many believe Big Data has rendered human perception and observation 'old-school' or passe, Martin Lindstrom shows that mining and matching technological data with up-close psychologica

???This handbook is a resource for evidence-based science with respect to recent discoveries in the growing field of epigenetics and children’s health. Epigenetics involves environmental stressor

This book introduces two basic big data processing paradigms for batch data and streaming data. Representative programming frameworks are also presented, as well as software defined networking (

Big Data is about the collection, storage, search, distribution, statistical analysis and visualization of large amounts of data. This is especially relevant in healthcare management, as the amount of

Occupational Neurology a volume in the Handbook of Clinical Neurology Series,provides a comprehensive overview of the science, clinical diagnosis, and treatment for neurotoxin related neurological and

Cay Horstmanni??s second edition of Python for Everyone provides a comprehensive and approachable introduction to fundamental programming techniques and design skills, and helps students master basic

Introduction to Statistical Analysis of Laboratory Data presents a detailed discussion of important statistical concepts and methods of data presentation and analysis Provides detailed discussions on