https://mpdatascience.com

Multiparadigm Data ScienceApplying 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 Multiparadigm Data Science 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. Is Your Data ScienceMultiparadigm? Is your process led by questions rather than techniques? Do you have a broad collection of algorithms for any situation? Can you connect to curated data resources for quick research? Is your analysis fast enough for real-time answers? Instead of confining your scope based on a limited set of tools, you should be able to choose computational methods based on the problem you're solving. contact us Can you handle any data type? Does that include images and audio? What about text and linguistic data? Can you work with hundreds of file formats? You might think of data science as a numbers game, but the best insights often come from exploring images, sounds, text and other data. contact us Can you combine multiple different types of computation? Do you have algorithms for every subject and department? Can you change techniques without a major code rewrite? Is your data unified for compatibility across methods? No technique is universal; real exploration requires the flexibility to test and combine different methods on your data. contact us Do you have the right interface for your data? Are you exploring your data interactively? Does that include natural language queries? Can you make point-and-click interfaces for your users? Is your reporting process automated? Every interface has its use—simple forms, interactive controls, sophisticated linguistic queries—and you need the full spectrum of options available to show your data effectively. contact us Is your presentation tailored to your results? Do you have specialized visualizations for all your needs? Can you add symbols, diagrams and other details inline? Are you able to edit expressions while presenting? Can you deploy instantly to a range of platforms? Representing complex results with the wrong visual can obscure your conclusions; you need a broad range of visualizations and deployments to express all your insights clearly. contact us Do you have a start-to-finish workflow? Can you import, analyze and visualize without swapping programs? Is everything combined into one coherent document? Can you rapidly develop, test and deploy models? Do you present and publish directly from your working notebook? Rather than constantly switching among disparate software packages, you need a single, integrated system that does it all. contact us Congratulations! It sounds like you already have a multiparadigm solution for your data science workflow. Contact us to get in touch—we'd love to hear more about it. Examples of Multiparadigm Data Science Track FinancialData Model DiseaseOutbreak Predict VotingPatterns Visualize HealthData Analyze SocialNetwork 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. Interfacing with Your Data 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 Notebooks Streamline 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 Language Query 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 Reporting Automatically receive alerts and updated reports based on custom criteria, tracking trends in real time for critically timed decisions. Presentations with Live Modeling Run your meetings interactively, adjusting parameters to compute instant what-if scenarios for deeper discussions and stronger results. Programmatic Access Store 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 Integration Seamlessly connect existing spreadsheets, databases and applications into higher-level computation, stepping up speed and accuracy with additional back end power. Know Your Data Science Areas 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 Learning Generate 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 Analysis Explore 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 Series Model, 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 Networks Create 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 Analysis Group 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 Analysis Analyze 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 Show All (15 more) Dynamic Visualization Display 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 Analysis Compute 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 Generation Display 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 Semantics Standardize 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 Theory Model 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 Wavelets Deconstruct 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 Modeling Model 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 Distributions Fit 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 Processes Model 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 Optimization Use 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 Analysis Use 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 Vision Process 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 Processing Process 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 Construction Make 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 Computing Distribute parallel tasks to available computation units for large-scale scientific computing and other high-performance applications. Tech for parallel computing Examples using parallel computing Geocomputation Use 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 Modeling Drive 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 Show Less 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. MPDS with the Wolfram LanguageHear from the Practitioners 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 Analytics Ariel Sepúlveda, 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 Energy Agilis 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 » Get Started with Multiparadigm Data Science Our Technology The best technology for Multiparadigm Data Science Your Projects Work with our experts to optimize your system and workflow Your Computation Hub A centralized, private cloud, secure enterprise solution Interactive Data Science Course Download Brochure Contact Us Get Started with Multiparadigm Data Science Enable JavaScript to interact with content and submit forms on Wolfram websites. Learn how »enen1740513841https://mpdatascience.com

Hindura urubuga rwawe?

Urimo ukora iki?