AroniSmartLytics™: Attribution Models and Dominance Analysis

AroniSmartLytics™ Regression, Econometrics, and Time module has implemented Attribution Models and Dominance Analysis, with a focus on how predictors contribute to overall performance measure.

Dominance Analysis  included in AroniSmaLytics (AroniSmartIntelligence) ™ was driven by the increasing importance of digital media advertisement, omni-channels and technolgical advances.

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AroniSmartLytics™ : Advanced Time Series Analysis and Forecasted Based on Machine Learning Methodologies

AroniSmart™ team recently disclosed that a major improvement of both AroniSmaLytics (AroniSmartIntelligence) ™  and AroniSmartInvest™ will soon be released.  Both tools , built for Mac OS X®,  will include the latest advances in Time Series Analysis, Forecasting, and Machine Learning. The first tool, AroniSmaLytics (AroniSmartIntelligence) ™ will be soon released in App Store®

Read more …AroniSmartLytics™: Machine Learning with Support Vector Machine and Advanced Time Series Analysis

AroniSmartLytics™ : Advanced Time Series Analysis and Forecasted Based on Machine Learning Methodologies

AroniSmart™ team has spent the last months working on a major improvement of both AroniSmaLytics (AroniSmartIntelligence) ™  and AroniSmartInvest™ will soon be released.  Both tools , built for Mac OS X®,  will include the latest advances in Time Series Analysis, Forecasting, and Machine Learning. 

Read more …AroniSmartLytics™ Latest Version: Machine Learning with Support Vector Machine and Time Series...

AroniSmartLytics™: Sentiment and Emotion Analysis

Sentiment and Emotion Analysis with Emojis, Boosters, and Acronyms  Avalaible in AroniSmartLytics™ and AroniSmartInvest™

AroniSmartLytics™, is the most advanced analytical, statistical research, Bayesian research, Machine Learning, Data Mining and Text Analysis tool built for Mac OS. AroniSmartInvest ™ is the most advanced investment and research analysis tool that leverage advanced statistical, data mining and Text analysis methodologies.

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