Data capture and analysis

The second edition of this internationally acclaimed title is the ideal handbook for those involved in conducting epidemiological research.

This book provides guidelines and fully worked examples of how to select, construct, interpret and evaluate the full range of count models.

Updated for use with ArcGIS(R) Desktop 10.

The immense increase on the size and type of real time data generated across various edge computing platform results in unstructured databases and data silos.

Understand data analysis concepts to make accurate decisions based on data using Python programming and Jupyter NotebookKey FeaturesFind out how to use Python code to extract insights from data using real-world examplesWork with structured data and free text sources to answer questions and add value using dataPerform data analysis from scratch with the help of clear explanations for cleaning, transforming, and visualizing dataBook DescriptionData literacy is the ability to read, analyze, work with, and argue using data.

A fast paced guide that will help you to create, read, update and delete data using MongoDBKey FeaturesCreate secure databases with MongoDBManipulate and maintain your databaseModel and use data in a No SQL environment with MongoDBBook DescriptionMongoDB has grown to become the de facto NoSQL database with millions of users, from small start-ups to Fortune 500 companies.

Designing and deploying solutions using the SAP BusinessObjects Business Intelligence platform 4.

This book provides a comprehensive introduction on opinion analysis for online reviews.

Data mapping in a data warehouse is the process of creating a link between two distinct data models' (source and target) tables/attributes.

Map Use: Reading, Analysis, Interpretation, eighth edition is a comprehensive, foundational textbook designed for the college curriculum.

Repurposing Legacy Data: Innovative Case Studies takes a look at how data scientists have re-purposed legacy data, whether their own, or legacy data that has been donated to the public domain.

Data can be a cost for some organizations, but for those who succeed, it is a way to drive profitability, customer loyalty, and outperform others in their field.

An evidence-based organizational framework for exceptional analytics team results The Analytics Lifecycle Toolkit provides managers with a practical manual for integrating data management and analytic technologies into their organization.

Data has become the most powerful tool in business today, and telling its story effectively is critical.

While tools for analyzing streaming and real-time data are gaining adoption, the ability to visualize these data types has yet to catch up.

This workshop followed the First International Conference, which was hosted by Fermilab, on 26-28 October, 1994.

A concise text that presents and analyzes the fundamental techniques and methods in optimization that are useful in data science.

Get up and running with Oracle's premium cloud blockchain services and build distributed blockchain apps with easeKey FeaturesDiscover Hyperledger Fabric and its components, features, qualifiers, and architectureGet familiar with the Oracle Blockchain Platform and its unique featuresBuild Hyperledger Fabric-based business networks with Oracle's premium blockchain cloud serviceBook DescriptionHyperledger Fabric empowers enterprises to scale out in an unprecedented way, allowing organizations to build and manage blockchain business networks.

Master machine learning techniques with real-world projects that interface TensorFlow with R, H2O, MXNet, and other languagesKey FeaturesGain expertise in machine learning, deep learning and other techniquesBuild intelligent end-to-end projects for finance, social media, and a variety of domainsImplement multi-class classification, regression, and clusteringBook DescriptionR is one of the most popular languages when it comes to exploring the mathematical side of machine learning and easily performing computational statistics.

Application Performance Management (APM) in the Digital Enterprise enables IT professionals to be more successful in managing their company's applications.

Doing data science is difficult.

In geometry processing and shape analysis, several applications have been addressed through the properties of the Laplacian spectral kernels and distances, such as commute time, biharmonic, diffusion, and wave distances.

Newnes Microprocessor Pocket Book explains the basic hardware operation of a microprocessor and describes the actions of the various types of instruction that can be executed.

Analytics is the application of mathematical and statistical concepts to large data sets so as to distil insights that offer the owner some options for action and competitive advantage or value.

Learn quick and effective techniques to get up and running with building blockchain including Ethereum and Hyperledger Fabric.

Information and how we manage, process and govern it is becoming increasingly important as organizations ride the wave of the big data revolution.

Gain expertise in ML techniques with AWS to create interactive apps using SageMaker, Apache Spark, and TensorFlow.

Learn the technical and soft skills you need to succeed in your career as a data analyst.

Understand the fundamentals of algorithmic trading to apply algorithms to real market data and analyze the results of real-world trading strategiesKey FeaturesUnderstand the power of algorithmic trading in financial markets with real-world examplesGet up and running with the algorithms used to carry out algorithmic tradingLearn to build your own algorithmic trading robots which require no human interventionBook DescriptionIt's now harder than ever to get a significant edge over competitors in terms of speed and efficiency when it comes to algorithmic trading.

Lining Up Data in ArcGIS: A Guide to Map Projections is an easy-to-navigate, troubleshooting reference for any GIS user with the common problem of data misalignment.

Your hands-on reference guide to developing, training, and optimizing your machine learning modelsKey FeaturesYour guide to learning efficient machine learning processes from scratchExplore expert techniques and hacks for a variety of machine learning conceptsWrite effective code in R, Python, Scala, and Spark to solve all your machine learning problemsBook DescriptionMachine learning makes it possible to learn about the unknowns and gain hidden insights into your datasets by mastering many tools and techniques.

Cyber Security Awareness for Lawyers is a concise overview of the cyber security threats posed to companies and organizations.

Get a firm grip on the core processes including browser automation, web scraping, Word, Excel, and GUI automation with Python 3.

Problem Solving and Data Analysis Using Minitab A clear and easy guide to six Sigma methodology Six Sigma statistical methodology using Minitab Problem Solving and Data Analysis using Minitab presents example-based learning to aid readers in understanding how to use MINITAB 16 for statistical analysis and problem solving.

Explore the different data mining techniques using the libraries and packages offered by PythonKey FeaturesGrasp the basics of data loading, cleaning, analysis, and visualizationUse the popular Python libraries such as NumPy, pandas, matplotlib, and scikit-learn for data miningYour one-stop guide to build efficient data mining pipelines without going into too much theoryBook DescriptionData mining is a necessary and predictable response to the dawn of the information age.

One-stop solution for NLP practitioners, ML developers, and data scientists to build effective NLP systems that can perform real-world complicated tasksKey FeaturesApply deep learning algorithms and techniques such as BiLSTMS, CRFs, BPE and more using TensorFlow 2Explore applications like text generation, summarization, weakly supervised labelling and moreRead cutting edge material with seminal papers provided in the GitHub repository with full working codeBook DescriptionRecently, there have been tremendous advances in NLP, and we are now moving from research labs into practical applications.

Discover the power of location data to build effective, intelligent data models with Geospatial ecosystemsKey FeaturesManipulate location-based data and create intelligent geospatial data modelsBuild effective location recommendation systems used by popular companies such as UberA hands-on guide to help you consume spatial data and parallelize GIS operations effectivelyBook DescriptionData scientists, who have access to vast data streams, are a bit myopic when it comes to intrinsic and extrinsic location-based data and are missing out on the intelligence it can provide to their models.

What do you need to become a data-driven organization?

Perform advanced dashboard, visualization, and analytical techniques with Tableau Desktop, Tableau Prep, and Tableau ServerKey FeaturesUnique problem-solution approach to aid effective business decision-makingCreate interactive dashboards and implement powerful business intelligence solutionsIncludes best practices on using Tableau with modern cloud analytics servicesBook DescriptionTableau has been one of the most popular business intelligence solutions in recent times, thanks to its powerful and interactive data visualization capabilities.

If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics.

Build efficient data flow and machine learning programs with this flexible, multi-functional open-source cluster-computing frameworkKey FeaturesMaster the art of real-time big data processing and machine learning Explore a wide range of use-cases to analyze large data Discover ways to optimize your work by using many features of Spark 2.

Transform machine-generated data into valuable business insights using the powers of SplunkKey FeaturesExplore the all-new machine learning toolkit in Splunk 7.

Solve real-world data problems and create data-driven workflows for easy data movement and processing at scale with Azure Data FactoryKey FeaturesLearn how to load and transform data from various sources, both on-premises and on cloudUse Azure Data Factory's visual environment to build and manage hybrid ETL pipelinesDiscover how to prepare, transform, process, and enrich data to generate key insightsBook DescriptionAzure Data Factory (ADF) is a modern data integration tool available on Microsoft Azure.

Do your product dashboards look funky?

Foreword by Steven PinkerBlending the informed analysis of The Signal and the Noise with the instructive iconoclasm of Think Like a Freak, a fascinating, illuminating, and witty look at what the vast amounts of information now instantly available to us reveals about ourselves and our worldprovided we ask the right questions.

Knowledge Discovery in Big Data from Astronomy and Earth Observation: Astrogeoinformatics bridges the gap between astronomy and geoscience in the context of applications, techniques and key principles of big data.