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 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®

 What is Machine Learning and Support Vector Machine?

Machine Learning is an application of artificial intelligence that leverages the latest advances in statistics, data mining and data science, and predictive analytics to learn from past and dynamic observations  and  predict future behaviors and trends.

Machine Learning  methodologies  implemented in  AroniSmartLytics™ combine all the aspects of supervised and unsupervised approaches. Some may be found in other modules, especially Bayesian Models,  Regression, Econometrics and Time Series and Segmentation.

The Support Vector Machine (SVM) focuses on sequential minimal optimization (SMO) algorithm for training a support vector machine,  regression SMO, and Gaussian Processes. 

Support Vector Machine, Time Series Analysis, and Other Advanced Analytics.

AroniSmartLytics™  Machine Learning module has implemented Support Vector Machine, with a focus on Sequential Machine Optimization (SMO) including Binary SMO Improved Regression SMO and Gaussian Processes. 

Dedicated SMO module included in AroniSmaLytics (AroniSmartIntelligence) ™ was driven by the increasing importance of BigData. The  SVM and SMO algorithms in AroniSmaLytics (AroniSmartIntelligence) ™ are based on the John Platt's sequential minimal optimization (SMO)  algorithm, Keerthi, Shevade, Bhattacharyya,  and Murthy’s Improvements to Platt's SMO algorithm, and Hastie and  Tibshirani’s classification algorithm by pairwise coupling. Gaussian processes  in AroniSmartLytis™ implement regression without hyperparameter-tuning and by leveraging different types of kernel

AroniSmart™ Time Series module has adopted a machine learning/data mining methodology with a cutting edge, yet intuitive, approach. The graphical user interface has also been improved to include time series analyses (see example sof shows the graphs generated ).

AroniSmartLytics, the leading tool for Advanced Analytics

Statisticians, Data Scientists, Business and Financial Analysts,  Savvy Investors, Engineers, Researchers,  Students, Teachers, Economists, Political Analysts,  and most of  the practitioners use Advanced Analytics to answer questions, to support informed  decision making or to learn.

AroniSmartLytics™ is a leading advanced analytics, machine learning and data science tool, with optimized cutting edge statistics models, Big Data and Text Analytics.

AroniSmartLytics™ includes modules covering machine learning and Big Data mining, Unstructured Text Analysis, Sentiment and Emotion Analytics, Bayesian Statistics and other advanced analytics.




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