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Minding the Machines - Building and Leading Data Science and Analytics Teams

Organize, plan, and build an exceptional data analytics team within your organization In Minding the Machines: Building and Leading;

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Analytics and Data Science

in decision making, i.e., business analytics. The chapters in Analytics and Data Science: Advances in Research and Pedagogy are written by leading;

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Introducing HR Analytics with Machine Learning

This book directly addresses the explosion of literature about leveraging analytics with employee data and how organizational psychologists;

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Introducing HR Analytics with Machine Learning

This book directly addresses the explosion of literature about leveraging analytics with employee data and how organizational psychologists;

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Azure Storage, Streaming, and Batch Analytics

all the building blocks for scalable big data analysis systems including ingestion, processing, querying, and migration. * Azure;

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Analytics, Data Science, & Artificial Intelligence

For courses in decision support systems, computerised decision-making tools, and management support systems. Market-leading guide to;

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Principles and Methods for Data Science

Principles and Methods for Data Science, Volume 43 in the Handbook of Statistics series, highlights new advances in the field, with;

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Recent Developments in Data Science and Business Analytics

and Business Analytics (ICDSBA- 2017), which was held during September 23-25 2017 in ChangSha, China. As we all know, the field of data;

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Excellence in People Analytics

Effectively and ethically leveraging people data to deliver real business value is what sets the best HR leaders and teams apart;

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Excellence in People Analytics

Effectively and ethically leveraging people data to deliver real business value is what sets the best HR leaders and teams apart;

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Distributed Computing in Big Data Analytics

, data access, data transfer, visualization and predictive modeling using distributed processing in multiple low cost machines are the key;

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Building Analytics Teams

of experience and expertise, illustrates the fundamental concepts of building and managing a high-performance analytics team, including what to do, who;

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The Real Work of Data Science

The essential guide for data scientists and for leaders who must get more from their data science teams The Economist boldly claims;

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The Complete Beginner's Guide of Data Mining, Data Analytics, and Data Science Step-by-step Beginner's Guide to Learn and Master Data Mining, Data Analytics, and Data Science

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Data Science and Analytics for SMEs

on small businesses and explores the analytics and data that can help them succeed further in their business. What You'll Learn Create;

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Data Science and Analytics for SMEs

small businesses and explores the analytics and data that can help them succeed further in their business. What You'll LearnCreate and;

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Getting Started with Salesforce Einstein Analytics

., CSV files). Core chapters focus on understanding data sources, dataflow, dataset, and lens leading up to building dashboards from;

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Data Science & Business Analytics

Data Science and Analytics explores the solutions to problems in society, environment and in industry. With the increase in the;

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Marketing Data Science

concepts, principles, and theory in the context of real-world applications. Building on Miller's pioneering program, Marketing Data Science;

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Advances in Big Data Analytics

of big data analytics and/or data science, multi-criteria optimization for learning, expert and rule-based data analysis, support vector machines;

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Analytics and Knowledge Management

The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced;

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Data Science and Analytics

carefully reviewed and selected from total 353 submissions. The papers are organized in topical sections on data centric programming; next;

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Data Science and Analytics

were carefully reviewed and selected from total 353 submissions. The papers are organized in topical sections on data centric programming; next;

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Data Lake Analytics on Microsoft Azure

Get a 360-degree view of how the journey of data analytics solutions has evolved from monolithic data stores and enterprise data warehouses;

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Public Policy Analytics

data and analytics using reproducible methods in R. Each of the eight chapters provides a detailed case study, showing readers: how to develop;

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Public Policy Analytics

data and analytics using reproducible methods in R. Each of the eight chapters provides a detailed case study, showing readers: how to develop;

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Data Science and Analytics

submissions. The papers are organized in topical sections on big data analysis, data centric programming, next generation computing, social and web;

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