Statistics, Predictive Modeling and Data Mining
-
Enhancing Insights: Image Analysis and Comprehensive Data Exploration in JMP® ProThis webinar demonstrates how to harness the power of data to predict trends, identify opportunities, and make informed decisions. Specifically, with JMP's predictive analytics software, JMP Pro.
-
The Art of Effective Statistical CollaborationDr. Julia Sharp and Dr. Emily Griffith discuss the art of effective statistical collaboration.
-
Revolutionizing Sustainability Through Green ChemistryJoin us for a virtual discussion with Grace Lasker and Rick Morgan on sustainability through green chemistry.
-
The Significance of Data Science EthicsHear from top researchers in the world of Astrophysics.
-
Producers, Consumers, and Servicers: Three Perspectives on ReliabilityJerry Fish shares core reliability analysis techniques and best practices by walking through a hypothetical case study based on HVAC reliability.
-
How to Model Complex, High-Dimensional Chemical SpectraBill Worley and Jeremy Ash demonstrate spectral analysis in JMP. Understanding and acting on factors influencing quality can result in reduced cost, faster time to market, better quality, and other benefits to your organization.
-
How to Get the Most Out of Machine LearningHear from leaders in the machine learning realm from Brewer Science, Abt Associates and SAS
-
What scientists and engineers can (and should) do with text dataText analytics advice from experts at the FDA, P&G and 1440 Consulting
-
Build - and Choose - Better Models Faster: Data Scientists in a BoxKemal Oflus demonstrates how to utilize machine learning methods without having to write and tune algorithms by leveraging your subject matter expertise.
-
Applying machine learning to the right problems Speakers from Procter & Gamble and TEL Singapore on machine learning and automation
-
Predicting Product Reliability: A Case StudyExplore core reliability analysis techniques and best practices by walking through a case study based on hard drive reliability.
-
Leveraging Free Text Data to Build Better ModelsLearn how text data can be combined with non-text data to build better models and make better decisions.
-
Predictive Modeling for Risk of DiseaseWalk through an example based on building predictive models for peripheral arterial disease risk using data from the National Health and Nutrition Examination Surveys.
-
Solving science and engineering problems with machine learningRolls-Royce, Tata Steel and SABIC innovate with machine learning and AI
-
Gaining Innovation Momentum Through Data AnalyticsIndustry 4.0, big data, data mining and IoT. As the digitization of the manufacturing sector gains momentum, what key things do you need to know about analyzing your manufacturing data?
-
Worst Practices in Data MiningData mining expert Dick De Veaux discusses case studies from a range of industries to illustrate pitfalls that can frustrate problem-solving and discovery.
-
Moving from SPSS to JMPTransitioning from SPSS to JMP? See how each software handles descriptive statistics, visualizations, bivariate tests, contingency tables and model building.