Quantitative research
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The concept Quantitative research represents the subject, aboutness, idea or notion of resources found in University of Missouri Libraries.
The Resource
Quantitative research
Resource Information
The concept Quantitative research represents the subject, aboutness, idea or notion of resources found in University of Missouri Libraries.
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- Quantitative research
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- http://id.worldcat.org/fast/01742283
- Source
- fast
71 Items that share the Concept Quantitative research
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- A data-driven approach to customer relationships : a case study of Nedbank's data practices in South Africa
- Advanced Splunk : master the art of getting the maximum out of your machine data using Splunk
- Advanced statistics and data mining for data science
- An introduction to machine learning models in production : how to transition from one-off models to reproducible pipelines
- Analyzing data in the Internet of Things : a collection of talks from Strata + Hadoop World 2015
- Analyzing high-throughput genomics data for cancer studies
- Applied Data Science Workshop - Second Edition
- Applying quantitative methods to e-book collections
- Avoiding data pitfalls : how to steer clear of common blunders when working with data and presenting analysis and visualizations
- BI & Analytics in der Cloud : Architektur, Vorgehen und Praxis
- Basic statistics and data mining for data science
- Become a Python data analyst
- Become a Python data analyst : perform exploratory data analysis and gain insight into scientific computing using Python
- Beginning data science in R : data analysis, visualization, and modelling for the data scientist
- Better data brings a renewal at the Bank of England : a venerable banking institution is using data in new ways to refine its view of the UK economy
- Data Analysis and Applications 1
- Data Analysis and Applications 2
- Data Analysis in the Cloud : Models, Techniques and Applications
- Data analysis and applications 3 : computational, classification, financial, statistical and stochastic methods
- Data analytics and machine learning fundamentals : LiveLessons
- Data science and big data analytics : discovering, analyzing, visualizing and presenting data
- Data science and big data analytics in smart environments
- Data science with Python : unleash the power of Python and its robust data science capabilities : a course in four modules
- Data-driven analytics for the geological storage of CO2
- Data-driven public relations research : 21st century practices and applications
- Datenvisualisierung - Grundlagen und Praxis : wie Sie aussagekräftige Diagramme und Grafiken gestalten
- Deep learning for health tech : neural network applications in healthcare using Python and TensorFlow
- Design and analysis for quantitative research in music education
- Ethics and data science
- Finding profit in your organization's data : three examples from the frontlines of IoT
- Foundations of data science
- How do I choose the correct predictive model for my organizational questions?
- How to be a quantitative ecologist : the 'A to R' of green mathematics and statistics
- How to use your data science team : becoming a data-driven organization
- Improving analytics capabilities through crowdsourcing : Syngenta developed an award-winning suite of analytics tools by tapping into expertise outside the organization, including talent available through open-innovation platforms
- Improving the user experience through practical data analytics : gain meaningful insight and increase your bottom line
- Innovations in quantitative risk management : TU München, September 2013
- Interpretable predictive models in the healthcare domain
- Introduction to data analytics with KNIME : a data science approach to analytics
- Learning Bayesian models with R : become an expert in Bayesian machine learning methods using R and apply them to solve real-world big data problems
- Linear methods for optimization and prediction in healthcare : make causal inferences in health data using R and Python
- Literate statistical programming is not just about reproducibility
- Machine learning in production : developing and optimizing data science workflows and applications
- Making predictions with data and Python
- Managing the data lake : moving to big data analysis
- Mastering Spark for structured streaming : building end-to-end structured streaming applications with Spark 2.0
- Mastering pandas : a complete guide to pandas, from installation to advanced data analysis techniques
- Mastering pandas for finance : master pandas, an open source Python data analysis library, for financial data analysis
- Mining social media : finding stories in Internet data
- Model identification and data analysis
- Python : data analytics and visualization : understand, evaluate, visualize data
- Python : end-to-end data analysis : leverage the power of Python to clean, scrape, analyze, and visualize your data : a course in three modules
- Quantified storytelling : a narrative analysis of metrics on social media
- Quantifying approaches to discourse for social scientists
- Quantitative research methods in communication : the power of numbers for social justice
- Quantitative techniques : theory and problems
- Quantitative value : a practitioner's guide to automating intelligent investment and eliminating behavioral errors + website
- R : predictive analysis : master the art of predictive modeling
- Raising the bar with analytics
- Reporting, predictive analytics, and everything in between : a guide to selecting the right analytics for you
- Research assessment in the humanities : towards criteria and procedures
- Strategic analytics
- The analytical marketer : how to transform your marketing organization
- The fitness of information : quantitative assessments of critical evidence
- The unsupervised learning workshop : get started with unsupervised learning and simplify unorganized data to make predictions
- This is service design methods : a companion to this is Service design doing
- Understanding Azure Data Factory : operationalizing big data and advanced analytics solutions
- Understanding anomaly detection: : an exploration of anomaly detection's history, applications, and state-of-the-art techniques
- Unsupervised learning for exploration and classification of health data : advanced analysis using Python and R
- Valuing businesses using regression analysis : a quantitative approach to the guideline company transaction method
- Who's bigger? : where historical figures really rank
- Why your company needs data translators : In many organizations, there remains a consistent disconnect between data scientists and the executive decision makers they support. That’s why it’s time for a new role: the data translator
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/resource/G7wLJ1VBfes/" typeof="CategoryCode http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/resource/G7wLJ1VBfes/">Quantitative research</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/resource/G7wLJ1VBfes/" typeof="CategoryCode http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/resource/G7wLJ1VBfes/">Quantitative research</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>
