Data capture and analysis

Gain hands-on experience of Python programming with industry-standard machine learning techniques using pandas, scikit-learn, and XGBoostKey FeaturesThink critically about data and use it to form and test a hypothesisChoose an appropriate machine learning model and train it on your dataCommunicate data-driven insights with confidence and clarityBook DescriptionIf data is the new oil, then machine learning is the drill.

A unique account of developing topic in data mining and machine learning.

Data Acquisition Techniques Using Personal Computers contains all the information required by a technical professional (engineer, scientist, technician) to implement a PC-based acquisition system.

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.

Master scala's advanced techniques to solve real-world problems in data analysis and gain valuable insights from your dataKey FeaturesA beginner's guide for performing data analysis loaded with numerous rich, practical examplesAccess to popular Scala libraries such as Breeze, Saddle for efficient data manipulation and exploratory analysisDevelop applications in Scala for real-time analysis and machine learning in Apache SparkBook DescriptionEfficient business decisions with an accurate sense of business data helps in delivering better performance across products and services.

Updated as of August 2014, this practical book will demonstrate proven methods for anonymizing health data to help your organization share meaningful datasets, without exposing patient identity.

Microprocessor Data Book, Second Edition focuses on the available types of microprocessors and microcomputers, including description of internal architecture, instruction set, main electrical data, and package details of these instruments.

Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and KerasKey FeaturesImplement machine learning algorithms to build, train, and validate algorithmic modelsCreate your own algorithmic design process to apply probabilistic machine learning approaches to trading decisionsDevelop neural networks for algorithmic trading to perform time series forecasting and smart analyticsBook DescriptionThe explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML).

Learn how to fuse today's data science tools and techniques with your SAP enterprise resource planning (ERP) system.

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.

Data profiling refers to the activity of collecting data about data, i.

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

Why a book about logs?

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.

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

AI-Supported Requirements Engineering: A Paradigm Shift in Software DevelopmentBy Gordon B.

Learn everything you need to know to build efficient SQL queries using this easy-to-follow beginner's guideKey FeaturesExplore all SQL statements in depth using a variety of examplesGet to grips with database querying, data aggregate, manipulation, and much moreUnderstand how to explore and process data of varying complexity to tell a storyBook DescriptionSQL is a powerful querying language that's used to store, manipulate, and retrieve data, and it is one of the most popular languages used by developers to query and analyze data efficiently.

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

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

Perform advanced data manipulation tasks using pandas and become an expert data analyst.

Combine advanced analytics including Machine Learning, Deep Learning Neural Networks and Natural Language Processing with modern scalable technologies including Apache Spark to derive actionable insights from Big Data in real-timeKey FeaturesMake a hands-on start in the fields of Big Data, Distributed Technologies and Machine LearningLearn how to design, develop and interpret the results of common Machine Learning algorithmsUncover hidden patterns in your data in order to derive real actionable insights and business valueBook DescriptionEvery person and every organization in the world manages data, whether they realize it or not.

Data is powerful.

Object-Oriented Analysis and Design for Information Systems, Second Edition clearly explains real object-oriented programming in practice.

Moving Objects Databases is the first uniform treatment of moving objects databases, the technology that supports GPS and RFID.

Data Simplification: Taming Information With Open Source Tools addresses the simple fact that modern data is too big and complex to analyze in its native form.

A Simple Introduction to Data and Activity Analysis provides an introduction to the main concepts embodied in the analysis techniques.

Design clever algorithms that discover hidden patterns and draw responses from unstructured, unlabeled data.

At a moderately advanced level, this book seeks to cover the areas of clustering and related methods of data analysis where major advances are being made.

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.

Revamp your data landscape and implement highly effective data pipelines in AWS with this hands-on guidePurchase of the print or Kindle book includes a free PDF eBookKey FeaturesExecute extract, transform, and load (ETL) tasks on data lakes, data warehouses, and databasesImplement effective Pandas data operation with data wranglerIntegrate pipelines with AWS data servicesBook DescriptionData wrangling is the process of cleaning, transforming, and organizing raw, messy, or unstructured data into a structured format.

This book examines the Internet of Things (IoT) and Data Analytics from a technical, application, and business point of view.

'Fascinating' - Financial TimesAlgorithms are running our society, and as the Cambridge Analytica story has revealed, we don't really know what they are up to.

Turn your R code into packages that others can easily install and use.

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

For self-service data preparation, Tableau Prep is relatively easy to useas long as you know how to clean and organize your datasets.

Build efficient forecasting models using traditional time series models and machine learning algorithms.

Explore powerful R packages to create predictive models using ensemble methodsKey FeaturesImplement machine learning algorithms to build ensemble-efficient modelsExplore powerful R packages to create predictive models using ensemble methodsLearn to build ensemble models on large datasets using a practical approachBook DescriptionEnsemble techniques are used for combining two or more similar or dissimilar machine learning algorithms to create a stronger model.

Volume I is the first of two volumes that document the three components of the CHILDES Project.

Discover how graph databases can help you manage and query highly connected data.

Camera trapping is a powerful and now widely used tool in scientific research on wildlife ecology and management.

More stimulating mathematics puzzles from bestselling author Paul NahinHow do technicians repair broken communications cables at the bottom of the ocean without actually seeing them?

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

Data stewards in any organization are the backbone of a successful data governance implementation because they do the work to make data trusted, dependable, and high quality.

Technical writing is about communicating key information to the people who need it.

Object Lessons is a series of short, beautifully designed books about the hidden lives of ordinary things.

Object Lessons is a series of short, beautifully designed books about the hidden lives of ordinary things.

A persuasive, well-written business case can win over the decision makers in your organisation and get you the all important approval you need for your business idea.