Statistics, Predictive Modeling and Data Mining
- Make better data based decisions with Statistical Modelling TechniquesThis three-part workshop on statistical modelling techniques is geared towards scientists and engineers who are looking to make the most of their data and gain valuable insights as quickly as possible.
- The Rise of Epidemic Forecasting & Multi-View AnalysisFather-son duo Dr. Robert Tibshirani and Dr. Ryan Tibshirani discuss why epidemic forecasting and multi-view analysis matters.
- How to ensure your investment in Machine Learning yields beneficial outcomesIn this talk, Jonathan Williams, PhD, Data Analysis Manager at IQE, shares guidance and stories about how to get started with machine learning techniques or effectively integrate them within existing programs.
- The Art of Effective Statistical CollaborationDr. Julia Sharp and Dr. Emily Griffith discuss the art of effective statistical collaboration.
- Session 4: Basic Analysis and ModelingDuring this session, Jordan Hiller demonstrates simple techniques for building models and the enriching insight gained from those models.
- Revolutionizing Sustainability Through Green ChemistryJoin us for a virtual discussion with Grace Lasker and Rick Morgan on sustainability through green chemistry.
- Glean and Visualize Deeper Insight from Your DataHear best practices from Procter & Gamble and Michelin! Gaining skills around a multistage process of turning data into useful insights is key. You will see how interactive, no-code analytics enable any scientist or engineer to turn data into actionable insights with a combination of data preparation.
- How to Model Complex, High-Dimensional Chemical SpectraJoin us as JMP Senior Global Enablement Engineer Bill Worley shows us a visual approach to chemometrics.
- The Significance of Data Science EthicsHear from top researchers in the world of Astrophysics.
- Exploring the Cosmos Near and FarHear from top researchers in the world of Astrophysics.
- 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
- Experiment Even More Efficiently Using JMP Definitive Screening DesignsJeff Upton discusses how to experiment even more efficiently using JMP Definitive Screening Designs
- Sentiment Analysis: What Are People Feeling?Mike Anderson discusses how sentiment analysis and term selection in JMP can help you gain insights from your survey text, social media and other forms of text data.
- 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.
- Find meaning with purpose-driven analyticsChange agents from many fields use statistics to solve pressing world issues
- Faster Insights Through Automated Clustering and Visualization: A Case Study Using MLB DataIn this 30-minute webinar, Sig Mejdal, VP and Assistant General Manager for the Baltimore Orioles, demonstrates how clustering and data visualization techniques can be used to automatically detect hidden patterns in data.
- Mission-critical advanced statistics for the defense communityLearn about machine learning and artificial intelligence, and their synergies with structured experimentation
- 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.
- Expert guidance on making the most of machine learning Demystify the buzzwords and expand your toolkit
- 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.
- Accessible, Intuitive Statistics for Scientists and EngineersSAS co-founder John Sall invented JMP with the goal of making statistics friendly and informative. Here's how and why he did it.
- Questioning the Numbers of Everyday LifeSir David Spiegelhalter on improving the public understanding of risk and uncertainty.
- Mission-Oriented Analytics: New Methods for the Intelligence CommunityAlyson Wilson explains her work developing new analytic technologies for the intelligence community.
- Why We All Need Data Science SkillsTechnology engineer David Kriesel says every team needs a few people who have a clue about data science.
- Producing and Interpreting Basic Statistics Using JMP® JMP lets you interactively produce analyses, graphs and associated statistics at the same time. See how to generate and interpret basic summary statistics, fit distributions and perform hypothesis testing on the mean and on the standard deviation.
- Predictive Modelling - From Naive Bayes to Deep LearningThis video focuses on making predictions using classification and deep learning techniques.
- Bridging Statistics and Chemical Engineering for Biotech and PharmaJulia O'Neill on accelerating the availability of critical new medicines and modernizing drug manufacturing.
- BACKUP - Bridging Statistics and Chemical Engineering for Biotech and PharmaJulia O'Neill on accelerating the availability of critical new medicines and modernizing drug manufacturing.
- Using Bayesian Methods in Business and MarketingTechnology, operations and marketing professor on improving marketing models and analyzing customer data.
- Discovering and Predicting Patterns Using Neural Network ModelsSee how to build neural networks, starting with a simple one-layer network, and how to use JMP Pro to build more complicated self-learning and boosted models.
- Predictive Analytics For Smarter Business Decision MakingJoin Dick De Veaux for a seminar where he will show you how to use interactive and visual data mining techniques using JMP and JMP Pro.
- David Meintrup, Peter Goos and Volker Kraft: Fostering Innovation by Spreading Analytical Capability Learn how interactive data visualization supports the process of training, teaching and learning statistics in the workplace and classroom.
- Analytical Thinking and Problem Solving: The Mindset for SuccessGreg Nelson, CEO of ThotWave, describes the practical considerations and real-world competencies your organization needs to do analytics well.
- How P&G Saved Millions and Improved Quality With AnalyticsFormer P&G engineer talks about using technical expertise and analytics to save hundreds of millions of dollars.
- Unlocking the Value of Text AnalyticsLeading industry analyst talks about the business applications and benefits of text analytics.
- Interactive and Semi-Automated Reporting on the Safety and Efficacy of Clinical Studies - DIAIndustry 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?
- Using Data to Align With Your Life PurposeVictor Strecher, author of Life on Purpose, gives scientific reasons for living a big life.
- Applied Statistics From the Classroom to the BoardroomProfessor emeritus from the University of Alabama discusses his career teaching and applying statistics.
- Data Access and the Future of StatisticsUlrich Rendtel of Freie Universität Berlin discusses his experiences with the census and academia.
- To Explain or Predict? That Is the QuestionGalit Shmueli discusses the tensions between explaining and predicting.
- Tackling Unstructured Data With Text ExplorationBecome a more efficient data wrangler! See how one consultant organizes his unstructured data to see linkages between word usage and document of origin.
- How to Gain Insights With Text ExplorationHeath Rushing explains text exploration and why you should be doing it.
- What Does It Take to Be a Successful Statistician?Experienced statistical consultant shares career experiences and ideas for expanding your statistical repertoire.
- The Power of Crowdsourcing Data Science IdeasRuss Wolfinger on the complex problems analysts are solving through data science competitions.
- Helping Domain Experts Understand Their DataAdvice from statistician Jason Brinkley on working across disciplines.
- Become an Analytics Advocate at Your OrganizationFounder of P&G’s modeling and simulation group discusses the value of prediction and the rocket science of everyday products.
- Improving Your Process With Statistical ModelsA pharmaceutical manufacturer seeks process improvement in the midst of an alarming number of batch failures and a high degree of variability in the natural materials used in the manufacturing process. How do they find the answers?
- Analytics Lessons From BaseballHouston Astros Director of Decision Sciences shares lessons on data exploration and analytics from the world of baseball.
- Basic Analysis and PlottingSee, in this case study about housing prices in three cities, how to visualize data to make analyses accessible to statisticians and non-statisticians.
- Solutions to Data Preparation ChallengesSAS co-founder John Sall talks about ways to make data prep and analysis easier.
- Don’t Waste Good Analysis on the Wrong ProblemAuthors of Data Mining Techniques discuss the changing world of data analysis.
- Advantages of Bootstrap Forest for Yield Analysis: A Semiconductor Case StudyLearn how semiconductor manufacturers are reducing time to market while keeping quality high.
- Why Rare Events Happen Every DayDavid Hand, author of The Improbability Principle, discusses statistics and the laws behind chance moments.
- Neural NetworksExtensive overview of Neural Networks! Learn how to assist with models that are numerically challenging and time-consuming to fit.
- Advanced Decision TreesAid process improvement with successful root cause analysis. Learn how in this step-by-step guide on random forest techniques.
- Decision TreesPredict customer churn with well-built models. Learn how in this step-by-step video on decision trees.
- Stepwise RegressionWhen should stepwise regression be used to build a good performing model? This webinar segment has the answer and reviews when to stop adding terms to your model.
- Introduction to Modeling and Model ComparisonHow can you avoid overfitting your models? This video segment will guide you on how to use cross validation, ROC curves, response models and more.
- Predictive Analytics Theory for Real Business ProblemsBart Baesens, author of Credit Risk Management, on his research in predictive analytics and customer relationship management.
- Using Predictive Analytics to Spot Patterns and Uncover SolutionsNoted author and applied statistician Dick De Veaux calls predictive analytics mission-critical for making business decisions.
- How to Succeed in Data Mining and Predictive AnalyticsDean Abbott talks about ways to get started applying statistics to your work.
- 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.
- Estimating the Degradation Rate of Photovoltaic Arrays Using a Two-Component Nonlinear ModelBased on only one year of data, Chris Gotwalt, Director of Statistical R&D, predicts the relative power output of solar cells for five years into the future.
- Moving from SPSS to JMPTransitioning from SPSS to JMP? See how each software handles descriptive statistics, visualizations, bivariate tests, contingency tables and model building.