Data capture and analysis

Analysis within the Systems Development Life-Cycle, Book 3: Activity Analysis - The Deliverables provides a comprehensive coverage of the deliverables of activity analysis.

Snowflake's ability to eliminate data silos and run workloads from a single platform creates opportunities to democratize data analytics, allowing users at all levels within an organization to make data-driven decisions.

Tell your story and show it with data, using free and easy-to-learn tools on the web.

Understand and harness the power of artificial intelligence to drive growth and innovation with this comprehensive guide.

If you know how to program, you have the skills to turn data into knowledge.

"e;[John Naisbitt's] vision of the world's economy has the mark of genius.

Discover techniques to summarize the characteristics of your data using PyPlot, NumPy, SciPy, and pandasKey FeaturesUnderstand the fundamental concepts of exploratory data analysis using PythonFind missing values in your data and identify the correlation between different variablesPractice graphical exploratory analysis techniques using Matplotlib and the Seaborn Python packageBook DescriptionExploratory Data Analysis (EDA) is an approach to data analysis that involves the application of diverse techniques to gain insights into a dataset.

This is a comprehensive introduction to Support Vector Machines, a generation learning system based on advances in statistical learning theory.

Business Intelligence Strategy and Big Data Analytics is written for business leaders, managers, and analysts - people who are involved with advancing the use of BI at their companies or who need to better understand what BI is and how it can be used to improve profitability.

Big Data and Smart Service Systems presents the theories and applications regarding Big Data and smart service systems, data acquisition, smart cities, business decision-making support, and smart service design.

Responding to the needs of market researchers, business analysts, CI professionals, and other decision makers who understand online technology, Vibert provides a series of problem-driven, analytical frameworks to help them make better sense-and use-of the vast amounts of information now available and easily accessed on the Internet.

Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build using Google Cloud Platform (GCP).

A technical guide to performing systematic experiments that create more transparency for corporate surveillance and its algorithms.

Artificial intelligence is changing the world of work.

Harness the full power of the behavioral data in your company by learning tools specifically designed for behavioral data analysis.

Get the most out of Elasticsearch 7's new features to build, deploy, and manage efficient applicationsKey FeaturesDiscover the new features introduced in Elasticsearch 7Explore techniques for distributed search, indexing, and clusteringGain hands-on knowledge of implementing Elasticsearch for your enterpriseBook DescriptionElasticsearch is one of the most popular tools for distributed search and analytics.

Annual Review in Automatic Programming, Volume 4 is a collection of papers that deals with the GIER ALGOL compiler, a parameterized compiler based on mechanical linguistics, and the JOVIAL language.

30-Second Data Science covers 50 key elements in the field of data-gathering from basic to ethics, explained clearly and concisely.

Learn how to make the right decisions for your business with the help of Python recipes and the expertise of data leadersKey FeaturesLearn and practice various clustering techniques to gather market insights Explore real-life use cases from the business world to contextualize your learningWork your way through practical recipes that will reinforce what you have learnedBook DescriptionOne of the most valuable contributions of data science is toward helping businesses make the right decisions.

With an emphasis on social science applications, Event History Analysis with R presents an introduction to survival and event history analysis using real-life examples.

Ready to use statistical and machine-learning techniques across large data sets?

Cyber Security for CEOs and Managment is a concise overview of the security threats posed to organizations and networks by the ubiquity of USB Flash Drives used as storage devices.

Deploy supervised and unsupervised machine learning algorithms using scikit-learn to perform classification, regression, and clustering.

In this explosive memoir, a political consultant and technology whistleblower reveals the disturbing truth about the multi-billion-dollar data industry, revealing to the public how companies are getting richer using our personal information and exposing how Cambridge Analytica exploited weaknesses in privacy laws to help elect Donald Trump.

A representation is a thing that can be interpreted as providing information about something: a map, or a graph, for example.

Data is powerful.

Analysis within the Systems Development Life-Cycle: Book 1, Data Analysis-The Deliverables provides a comprehensive treatment of data analysis within the systems development life-cycle and all the deliverables that need to be collected in analysis.

A pathbreaking history of art that uses digital research and economic tools to reveal enduring inequities in the formation of the art historical canonPainting by Numbers presents a groundbreaking blend of art historical and social scientific methods to chart, for the first time, the sheer scale of nineteenth-century artistic production.

Bayesian modeling with PyMC3 and exploratory analysis of Bayesian models with ArviZ Key FeaturesA step-by-step guide to conduct Bayesian data analyses using PyMC3 and ArviZA modern, practical and computational approach to Bayesian statistical modelingA tutorial for Bayesian analysis and best practices with the help of sample problems and practice exercises.

Introduction to Data Compression, Third Edition, is a concise and comprehensive guide to data compression.

Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python.

Build smarter systems by combining artificial intelligence and the Internet of Things-two of the most talked about topics todayKey FeaturesLeverage the power of Python libraries such as TensorFlow and Keras to work with real-time IoT dataProcess IoT data and predict outcomes in real time to build smart IoT modelsCover practical case studies on industrial IoT, smart cities, and home automationBook DescriptionThere are many applications that use data science and analytics to gain insights from terabytes of data.

An expert guide to implementing fast, secure, and scalable decentralized applications that work with thousands of users in real timeKey FeaturesImplement advanced features of the Ethereum network to build powerful decentralized applicationsBuild smart contracts on different domains using the programming techniques of Solidity and VyperExplore the architecture of Ethereum network to understand advanced use cases of blockchain development Book DescriptionEthereum is one of the commonly used platforms for building blockchain applications.

A comprehensive end-to-end guide that gives hands-on practice in big data and Artificial IntelligenceKey FeaturesLearn to build and run a big data application with sample codeExplore examples to implement activities that a big data architect performsUse Machine Learning and AI for structured and unstructured dataBook DescriptionThe big data architects are the "e;masters"e; of data, and hold high value in today's market.

Offers researchers and teachers an introduction to clustering, with R code and real data to facilitate interaction with the concepts.

Microsoft Excel is a powerful tool that can transform the way you use data.

Provides an important framework for data analysts in assessing the quality of data and its potential to provide meaningful insights through analysis Analytics and statistical analysis have become pervasive topics, mainly due to the growing availability of data and analytic tools.

A solution-based guide to put your deep learning models into production with the power of Apache SparkKey FeaturesDiscover practical recipes for distributed deep learning with Apache SparkLearn to use libraries such as Keras and TensorFlow Solve problems in order to train your deep learning models on Apache SparkBook DescriptionWith deep learning gaining rapid mainstream adoption in modern-day industries, organizations are looking for ways to unite popular big data tools with highly efficient deep learning libraries.

A pathbreaking history of art that uses digital research and economic tools to reveal enduring inequities in the formation of the art historical canonPainting by Numbers presents a groundbreaking blend of art historical and social scientific methods to chart, for the first time, the sheer scale of nineteenth-century artistic production.

This new book from bestselling author Jordan Morrow empowers data professionals to work and operate more effectively in an organizational setting, equipping them with key business knowledge and skills.

A practical guide for solving complex data processing challenges by applying the best optimizations techniques in Apache Spark.

Explore distributed ledger technology, decentralization, and smart contracts and develop real-time decentralized applications with Ethereum and SolidityKey FeaturesGet to grips with the underlying technical principles and implementations of blockchainBuild powerful applications using Ethereum to secure transactions and create smart contractsGain advanced insights into cryptography and cryptocurrenciesBook DescriptionBlockchain technology is a distributed ledger with applications in industries such as finance, government, and media.

Machine learning is an intimidating subject until you know the fundamentals.

Solving complex geospatial problems and delivering solutions has never been easier.

Graph data closes the gap between the way humans and computers view the world.

Deploy supervised and unsupervised machine learning algorithms using scikit-learn to perform classification, regression, and clustering.

An insider's guide to data librarianship packed full of practical examples and advice for any library and information professional learning to deal with data.