Multiparadigm Data Science
Time 2021-11-06 12:09:13Web Name: Multiparadigm Data Science
WebSite: http://www.mpdatascience.com
ID:223571
Keywords:
Multiparadigm,Data,Science,Description:
keywords: description:Applying modern analytical techniques, automation and human-data interfaces to solve data-based problems. Move beyond traditional statistical methods to get real, quantifiable answers. Full suite of processing, analysis and visualization tools.Multiparadigm Data Science is a new approach of using AI and modern analytical techniques, automation and human-data interfaces to arrive at better answers with flexibility and scale.
Many organizations are still doing traditional data science—confining themselves to problems that are answerable with traditional statistical methods—rather than utilizing the broad range of interfaces and techniques available today. Whether it's automated machine learning, interactive notebooks and report generation, natural language queries of data for instant visualizations or implementing neural networks with ease and efficiency, modern problem solving requires access to the right technology at every stage.
With a flexible, integrated multiparadigm workflow, problems too complex for traditional methods can get real, quantifiable answers.
Data Model Disease
Outbreak Predict Voting
Patterns Visualize Health
Data Analyze Social
Network Trends
My trading dashboards run on real-time data connections, high-precision computation and detailed charts. And since it's all in a cloud-based multiparadigm system, I can access it from anywhere for quick decisions.
To study the spread of the epidemic, we had to wrangle information from a variety of fields and sources, running several large-scale simulations. Our multiparadigm system let us consolidate the data quickly and adjust our models in real time for faster, more effective analysis.
To examine political partisanship in the US Senate, we sorted through multidimensional data and tried analytic techniques from a variety of fields. The multiparadigm approach let us discover patterns we otherwise wouldn't have seen.
My run data automatically goes from my device to the cloud, where I can immediately compute on it, connect it to other data and visualize it in all kinds of unexpected ways. The multiparadigm approach allowed me to answer questions I didn't even know I had.
Importing data from curated service connections, our intuitive interface lets us explore data without a lot of programming or math. We used the multiparadigm approach to make complex data look interesting—and discovered some unique insights along the way.
Having the right interface to get answers from data is crucial; different interfaces are suited to different tasks. A multiparadigm system combines a broad range of intuitive options for interacting with data every step of the way.
Interactive NotebooksStreamline your daily workflow using high-level notebook documents that combine text, images, code and interactive examples—editable and runnable on any platform for fast, easy collaboration.
Natural LanguageQuery your data instantly with natural language and get conversational answers for an intuitive, low-effort process that leads to more insights and better decisions.
Triggered ReportingAutomatically receive alerts and updated reports based on custom criteria, tracking trends in real time for critically timed decisions.
Presentations with Live ModelingRun your meetings interactively, adjusting parameters to compute instant what-if scenarios for deeper discussions and stronger results.
Programmatic AccessStore your models as platform-independent packages and APIs, providing a centralized framework for computation and automation to power human-data interfaces across your enterprise
Classic Interfaces with Modern IntegrationSeamlessly connect existing spreadsheets, databases and applications into higher-level computation, stepping up speed and accuracy with additional back end power.
The field of data science is constantly growing and changing. A multiparadigm workflow requires a broad algorithmic toolkit with the full suite of processing, analysis and visualization for ever-increasing computational needs.
Machine LearningGenerate adaptive models directly from complex datasets for object classification and predictive analytics, such as identifying which new advertising markets to enter.
Tech for machine learning
Examples using machine learning
Classifying Japanese Characters from the Edo Period
Predictive Analytics in Finance
Predicting Winning Odds of Italian Series A Soccer 1934–2017
Graph/Network AnalysisExplore and visualize systems of discrete relationships to analyze correlations and patterns, such as modeling demographics in a social network.
Tech for graph/network analysis
Examples using graph/network analysis
Analyzing Social Networks of Colonial Boston Revolutionaries with the Wolfram Language
Growth and Spreading of Topics on INSPIRE-HEP
Identification Graph Structure of Rivers
Time SeriesModel, simulate and forecast sequences of events over time to track long-term trends and make predictions, such as expected sales for the next holiday season.
Tech for time series
Examples using time series
Pairs Trading with Copulas
Inflation Forecasting with SARIMA Modeling
Predictive Analytics in Finance
Neural NetworksCreate and train layered processing networks for deep analysis and processing tasks, such as recognizing defective items coming off a production line.
Tech for neural networks
Examples using neural networks
Walking the Dog: Neural Nets, Image Identification and Geolocation
Semantic Image Segmentation Neural Network in the Wolfram Language
Finding Yoga-Poses Constellations in the Night Sky
Higgs Boson Classification via Neural Network
Image Colorization
Cluster AnalysisGroup and analyze data based on similarity measures to extract underlying patterns and relationships, such as which customers are most similar to your top 100.
Tech for cluster analysis
Clustering Techniques for a Large Multi-asset Portfolio
Idea-Nets and Uniqueness of US Inaugural Addresses
Semantic Text AnalysisAnalyze underlying structures in linguistic data to clean up data and extract meaning, such as determining sentiment in customer comments.
Tech for semantic text analysis
Examples using semantic text analysis
Tracking a Descent to Savagery with the Wolfram Language: Plotting Sentiment Analysis in Lord of the Flies
The Great Conversation in USA Presidential Speeches
Market Sentiment Analysis
Patent Claims Analytics
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Dynamic VisualizationDisplay data in styled plots, charts and infographics, making it human-readable and interactive for quick analysis and decision making.
Tech for dynamic visualization
Examples using dynamic visualization
Reddit DataViz Battle JAN2018: Visualize the Growth Rates of Algae
The Voters Have Spoken—But What Did They Say? (Part 2)
Temperature in Champaign, IL, from 1973–2017—Visualization
The Global Terrorism Database (GTD)
Flight Data and Trajectories of Aeroplanes
Electricity Price Forecasting
Survival AnalysisCompute survival functions and lifetime distributions to analyze time-to-event data, such as the expected lifetime of a piece of industrial equipment.
Tech for survival analysis
Examples using survival analysis
Survival Probabilities in the United States
Report GenerationDisplay conclusions and insights in a styled, formatted document for meetings, ongoing projects or public information, like a quarterly earnings report.
Tech for report generation
Examples using report generation
Data SemanticsStandardize various incoming datasets into a unified framework for easier analysis, such as consolidating data with different unit systems.
Tech for data semantics
Examples using data semantics
Automotive Reliability in the Wolfram Language
Protecting NHS Patients with the Wolfram Language
Airline Performance in 2015
LHC Data Exploration Using the Wolfram Language
The Global Terrorism Database (GTD)
Queueing TheoryModel and simulate systems of queues to analyze waiting times and resource allocation, such as the optimal number of tellers at a bank branch.
Tech for queueing theory
Examples using queueing theory
The Mathematics of Queues
WaveletsDeconstruct data signals into constituent parts for advanced manipulation and filtering of specific features, such as eliminating background noise from sensor data.
Tech for wavelets
Examples using wavelets
Wavelets and Their Application in Mathematica
Systems ModelingModel physical, electrical and other systems to inform design decisions, like the most effective heating installation for a building.
Tech for systems modeling
Examples using systems modeling
Coffee Optimization, How to Get Your Cup of Joe Just Right
Deriving Transfer Equations of Active Filters with the Wolfram Language
Measurement and Visualization of Energy Production "Solar Heaters"
Topology Optimization in Stress-Strain Problem
Statistical DistributionsFit historic data to parametric distributions to make inferences about the underlying events, such as the likelihood of a customer clicking through an ad.
Tech for statistical distributions
Examples using statistical distributions
Pairs Trading with Copulas
Affordable Care Act: An Experiment on Possible New Regulations
Predictive Analytics in Finance
Random ProcessesModel the progression of a system over time to make observations and predictions about its behavior, such as analyzing peak hours at a particular store location.
Tech for random processes
Examples using random processes
How to Win at Risk: Exact Probabilities
Inflation Forecasting with SARIMA Modeling
OptimizationUse high-level mathematics to discover the "best values" for your data in relation to key criteria, such as the ideal allocation of portfolio assets.
Tech for optimization
Solve Bus-Routing Problem with a Single Destination and Multiple Depots?
Coffee Optimization, How to Get Your Cup of Joe Just Right
Topology Optimization in Stress-Strain Problem
Morphological AnalysisUse geometric transformations on images and higher-dimensional data to analyze spatial properties, such as counting particles in a microscopic image.
Tech for morphological analysis
Examples using morphological analysis
Computational Microscopy with the Wolfram Language
Slicing Silhouettes of Jupiter: Processing JunoCam Images
Topology Optimization in Stress-Strain Problem
Classifier for Images of Clouds
Computer VisionProcess visual data with machine learning and other sophisticated algorithms for analysis of features and patterns, such as identifying road hazards from a video feed.
Tech for computer vision
Examples using computer vision
Walking the Dog: Neural Nets, Image Identification and Geolocation
Classifying Japanese Characters from the Edo Period
Classifier for Images of Clouds
Facial Emotion Recognition
Hand Gesture Sign Language Recognition
Signal ProcessingProcess and filter images, audio and other collected data to analyze underlying patterns, such as detecting an irregular heartbeat from an ECG.
Tech for signal processing
Examples using signal processing
How to Use Your Smartphone for Vibration Analysis, Part 1: The Wolfram Language
How to Use Your Smartphone for Vibration Analysis, Part 2: The Wolfram Cloud
Slicing Silhouettes of Jupiter: Processing JunoCam Images
Custom Interface ConstructionMake interactive onscreen controls for real-time adjustment of parameters in analyses and visualizations, allowing deeper exploration of data.
Tech for custom interface construction
Eliza and Chat-Bots
A Basic NLP Application with Classify
Parallel ComputingDistribute parallel tasks to available computation units for large-scale scientific computing and other high-performance applications.
Tech for parallel computing
Examples using parallel computing
GeocomputationUse precise geolocation data and powerful geodetic computations to accurately examine real-world situations, such as visualizing optimal routes for a bus service.
Tech for geocomputation
Examples using geocomputation
Double Eclipse! Or Why Carbondale, Illinois, Is Special
Get Ready for the Total Solar Eclipse of 2017
Walking the Dog: Neural Nets, Image Identification and Geolocation
The Voters Have Spoken—But What Did They Say? (Part 2)
Identification Graph Structure of Rivers
Mathematical ModelingDrive systems of differential equations, recurrence relations and symbolic formulas with your data to test and refine models, such as computing the recovery rate of an epidemic.
Tech for mathematical modeling
How Laplace Would Hide a Goat: The New Science of Magic Windows
Affordable Care Act: An Experiment on Possible New Regulations
Analysis of Rates of Murder by Firearms in the US
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Thirty years of building the ultimate computation environment make the Wolfram technology stack ideal for Multiparadigm Data Science (MPDS)—a multitude of interfaces, language types, computational approaches and ready-to-use data all woven into one ecosystem.
A multiparadigm approach requires a broad, flexible computational toolkit that incorporates all aspects of a project into one start-to-finish workflow. The Wolfram technology stack does exactly this, enabling you to take data from hundreds of formats, carry out a full spectrum of analysis and visualization and immediately share or publish your results—all using the world's largest collection of algorithms and computable knowledge.
Hear from thePractitioners Optimizing Supply Chains with Business Laboratory
In addition to bringing speed, power and flexibility to each of Business Laboratory's simulations—from airline routes and supply chains to flu pandemics and business processes—the Wolfram Language offers integration with many data sources to help quickly build prototypes, significantly enhancing profitability for their clients. President George Danner calls it "the perfect environment for doing serious work in technical computing." Read more
Business Intelligence with Pronto AnalyticsAriel Seplveda, founder of Pronto Analytics, chose the Wolfram Language to solve the business intelligence, data mining and analytics needs of his clients because "combining the speed, the power, the set of functions you have available for programming, what you get is an amazing toolbox that is hard to find anywhere else." Read more
Intelligent Retail Management with St. Marche Supermarkets"We have a lot of data about our customers... where they live, how far they are from our stores," says Rodrigo Murta, Manager of Retail Intelligence for St. Marche. With the power and speed of the Wolfram Language, his "Swiss Army Knife" for computation, Murta turns seemingly random customer data into invaluable information—using it to establish rules to control pricing for tens of thousands of units, keep a close eye on profits and report back to investors. Read more
Energy Analytics with Agilis EnergyAgilis Energy begins with imported smart meter data and the Wolfram Language's built-in WeatherData, then applies sophisticated statistics and visualization functionality to generate what CEO Joseph Hirl calls an MRI of a building, a dynamic interface with a simulation of the building's energy use and demand, along with forecasting tools. Read more
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