Python Data Science Handbook

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

This is the Python version of our book. See the website for links to the C++ and Java version.Have you ever... Wanted to work at an exciting futuristic company? Struggled with an interview problem tha

Handbook of Synthetic Organic Chemistry, Second Edition updates and expands the author’s popular 2007 work, Synthetic Organic Chemist’s Companion. This new handbook provides valuable, practical guidan

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

Python Web開發的百科全書，瞭解Web工程從開發到上線的完整流程 對實際Web專案中大量實戰經驗的總結，有用、實用 本書按照一個Web 產品從無到有、從簡單變複雜、從基礎到進階的過程，多角度、全方位講述了Python Web開發。內容涉及Web框架、測試、資料庫、訊息佇列、服務化、持續集成等，把網站工程的全貌展現在讀者的眼前，從其中可以瞭解Web工程從開發到上線的完整流程。另外，作者對當

The Data and Analytics Playbook: Proven Methods for Governed Data and Analytic Quality explores the way in which data continues to dominate budgets, along with the varying efforts made across a variet

The third edition of the Oxford Handbook of Clinical Diagnosis is available to purchase in a pack with the fourth edition of the Oxford Handbook of Clinical Surgery, offering complimentary content fro

Part of the esteemed IOC Handbook of Sports Medicine and Science series, this new volume on Training and Coaching the Paralympic Athlete will be athlete-centred with each chapter written for the pract

This SpringerBrief presents the fundamental concepts of a specialized class of data stream, spatio-temporal data streams, and demonstrates their distributed processing using Big Data frameworks and pl

Core Data is intricate, powerful, and necessary. Discover the powerful capabilities integrated into Core Data, and how to use Core Data in your iOS and OS X projects. All examples are current for OS X

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

Social and behavioral science students and researchers are often confronted with data that are categorical, count some phenomenon, or have been collected over time. Sociologists examining the likeliho

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

Big Data and Big Analytics are a big deal today. Big Data is playing a pivotal role in many companies' strategic decision-making. Companies are striving to acquire a 'data advantage' over rivals. Dat

Python 簡單易學，擁有豐富的庫，並且具有極強的包容性。本書展示了如何利用Python 語言的強大功能，以最小的編程代價進行資料的提取、處理和分析，主要內容包括：資料分析和Python 的基本介紹，NumPy 庫，pandas 庫，如何使用pandas 讀寫和提取資料，用matplotlib 庫和scikit-learn 庫分別實現資料視覺化和機器學習，以實例演示如何從原始資料獲得資訊、D3

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

Think DSP: Digital Signal Processing in Python is an introduction to signal processing and system analysis using a computational approach. The premise of this book (like the others in the Think X seri

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-

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

Tools for amateur astronomers who wish to go beyond CCD imaging and step into ‘serious’ science. The text offers techniques for gathering, analyzing, and publishing data, and describes joint projects

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

Effective Data Visualization: The Right Chart for the Right Data is an easy-to-implement guide that readers can use to quickly determine the best chart type to use, and the best way to format the char

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

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

The Little Green Data Book 2016 is a pocket-sized ready reference on key environmental data for over 200 countries. Key indicators are organized under the headings of agriculture, forestry, biodiversi

The LNCS volume LNCS 9714 constitutes the refereed proceedings of the International Conference on Data Mining and Big Data, DMBD 2016, held in Bali, Indonesia, in June 2016.The 57 papers presented in

The authors apply Six Sigma to continuous library improvement, showing libraries how to use data analytics and data-driven decision making to make their operations more cost-effective and value-added.

Incorporating an innovative focus on data visualization and time series forecasting,Data Mining for Business Intelligence supplies insightful, detailed guidance on fundamental data mining techniques.

Recent advances in digital sensors, networks, storage, and computation, along with their low cost availability, is creating huge collections of data known as "Big Data." This has led to the emergence