Data capture and analysis

Get unique insights from your data by combining the power of SQL Server, R and PythonKey FeaturesUse the features of SQL Server 2017 to implement the data science project life cycleLeverage the power of R and Python to design and develop efficient data modelsfind unique insights from your data with powerful techniques for data preprocessing and analysisBook DescriptionSQL Server only started to fully support data science with its two most recent editions.

The lure of big data and analytics has produced new partnerships between news media and social media and consequently a fragmentation of digital journalism.

Build, train, and deploy large machine learning models at scale in various domains such as computational fluid dynamics, genomics, autonomous vehicles, and numerical optimization using Amazon SageMakerKey FeaturesUnderstand the need for high-performance computing (HPC)Build, train, and deploy large ML models with billions of parameters using Amazon SageMakerLearn best practices and architectures for implementing ML at scale using HPCBook DescriptionMachine learning (ML) and high-performance computing (HPC) on AWS run compute-intensive workloads across industries and emerging applications.

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.

Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro presents an applied and interactive approach to data mining.

The book addresses the impact of ambient intelligence, particularly its user-centric context-awareness requirement on data management strategies and solutions.

Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro presents an applied and interactive approach to data mining.

How can HR professionals utilize and leverage their organization's data effectively, with the use of AI, for more talent attraction, better employee engagement and higher talent retention to ultimately drive performance?

Statistical methods are a key tool for all scientists working with data, but learning the basics continues to challenge successive generations of students.

Over insightful 90 recipes to get lightning-fast analytics with Apache SparkAbout This BookUse Apache Spark for data processing with these hands-on recipesImplement end-to-end, large-scale data analysis better than ever beforeWork with powerful libraries such as MLLib, SciPy, NumPy, and Pandas to gain insights from your dataWho This Book Is ForThis book is for novice and intermediate level data science professionals and data analysts who want to solve data science problems with a distributed computing framework.

This concise course in data analysis and inference for the mathematically literate builds on survey sampling and designed experiments.

Strategic Value Creation shows how senior business leaders can design and execute a data-driven strategy for their organizations to ensure that value creation is focused on the customer segments most integral to business success.

A practical guide to administer, monitor and replicate your PostgreSQL 11 databaseKey FeaturesStudy and apply the newly introduced features in PostgreSQL 11Tackle any problem in PostgreSQL 11 administration and managementCatch up on expert techniques for monitoring, fine-tuning, and securing your databaseBook DescriptionPostgreSQL is a powerful, open source database management system with an enviable reputation for high performance and stability.

A comprehensive compilation of new developments in data linkage methodology The increasing availability of large administrative databases has led to a dramatic rise in the use of data linkage, yet the standard texts on linkage are still those which describe the seminal work from the 1950-60s, with some updates.

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

Environmental science (ecology, conservation, and resource management) is an increasingly quantitative field.

How do you take your data analysis skills beyond Excel to the next level?

Increased focus on computer science has recently brought about the new national curriculum in computing.

Learn the fundamentals of clean, effective Python coding and build the practical skills to tackle your own software development or data science projectsKey FeaturesBuild key Python skills with engaging development tasks and challenging activitiesImplement useful algorithms and write programs to solve real-world problemsApply Python in realistic data science projects and create simple machine learning modelsBook DescriptionHave you always wanted to learn Python, but never quite known how to start?

Explore and implement deep learning to solve various real-world problems using modern R libraries such as TensorFlow, MXNet, H2O, and DeepnetKey FeaturesUnderstand deep learning algorithms and architectures using R and determine which algorithm is best suited for a specific problemImprove models using parameter tuning, feature engineering, and ensemblingApply advanced neural network models such as deep autoencoders and generative adversarial networks (GANs) across different domainsBook DescriptionDeep learning enables efficient and accurate learning from a massive amount of data.

Understand and build beautiful and advanced plots with Matplotlib and PythonKey FeaturesPractical guide with hands-on examples to design interactive plotsAdvanced techniques to constructing complex plotsExplore 3D plotting and visualization using Jupyter NotebookBook DescriptionIn this book, you'll get hands-on with customizing your data plots with the help of Matplotlib.

Big Data: Principles and Paradigms captures the state-of-the-art research on the architectural aspects, technologies, and applications of Big Data.

This volume deals with two complementary topics.

The theory of data assimilation and machine learning is introduced in an accessible manner for undergraduate and graduate students.

Big data processing and analytics at speed and scale using command line tools.

Discover the new features and widely used packages in Julia to solve complex computational problems in your statistical applications.

Design, develop, and master efficient Power BI solutions for impactful business insightsKey FeaturesGet to grips with the fundamentals of Microsoft Power BI Combine data from multiple sources, create visuals, and publish reports across platformsUnderstand Power BI concepts with real-world use casesBook DescriptionMicrosoft Power BI Complete Reference Guide gets you started with business intelligence by showing you how to install the Power BI toolset, design effective data models, and build basic dashboards and visualizations that make your data come to life.

Your one-stop guide to blockchain technology and its business applicationsKey FeaturesAssimilate blockchain services such as Ethereum and Hyperledger to transform industrial applications Know in and out of blockchain technology to understand various business use casesUnderstand various common and not-so-common challenges faced in blockchain development Book DescriptionBlockchain for Business 2019 is a comprehensive guide that enables you to bring in various blockchain functionalities to extend your existing business models and make correct fully-informed decisions.

The different facets of the sharing economy offer numerous opportunities for businesses ?

The researcher in computer content analysis is often faced with a paucity of guidance in conducting a study.

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

Neurological Modulation of Sleep provides readers with updated scientific reviews regarding the interaction between sleep and contributing factors, with special attention paid to the potential for neurological modulation of sleep via diet.

This is the first comprehensive book dedicated entirely to the field of decision trees in data mining and covers all aspects of this important technique.

Pattern recognition is a fast growing area with applications in a widely diverse number of fields such as communications engineering, bioinformatics, data mining, content-based database retrieval, to name but a few.

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

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.

Multi-Domain Master Data Management delivers practical guidance and specific instruction to help guide planners and practitioners through the challenges of a multi-domain master data management (MDM) implementation.

In spatial data science, things in closer proximity to one another likely have more in common than things that are farther apart.

Make sense of your data and predict the unpredictableAbout This BookA unique book that centers around develop six key practical skills needed to develop and implement predictive analyticsApply the principles and techniques of predictive analytics to effectively interpret big dataSolve real-world analytical problems with the help of practical case studies and real-world scenarios taken from the world of healthcare, marketing, and other business domainsWho This Book Is ForThis book is for those with a mathematical/statistics background who wish to understand the concepts, techniques, and implementation of predictive analytics to resolve complex analytical issues.

Put your Haskell skills to work and generate publication-ready visualizations in no time at allKey FeaturesTake your data analysis skills to the next level using the power of HaskellUnderstand regression analysis, perform multivariate regression, and untangle different cluster varietiesCreate publication-ready visualizations of dataBook DescriptionEvery business and organization that collects data is capable of tapping into its own data to gain insights how to improve.

Explore expert techniques such as advanced indexing and high availability to build scalable, reliable, and fault-tolerant database applications using PostgreSQL 13Key FeaturesMaster advanced PostgreSQL 13 concepts with the help of real-world datasets and examplesLeverage PostgreSQL's indexing features to fine-tune the performance of your queriesExtend PostgreSQL's functionalities to suit your organization's needs with minimal effortBook DescriptionThanks to its reliability, robustness, and high performance, PostgreSQL has become one of the most advanced open source databases on the market.

It is now possible to predict the future when it comes to crime.

Executing Data Quality Projects, Second Edition presents a structured yet flexible approach for creating, improving, sustaining and managing the quality of data and information within any organization.

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

E-health applications such as tele-medicine, tele-radiology, tele-ophthalmology, and tele-diagnosis are very promising and have immense potential to improve global healthcare.