AroniSmartLytics

AroniSmartIntelligence™: Version 12.x Neural Network Multi-Layer Perceptron

Machine Learning Models  are gradually and fastly improving and becoming the center of advanced analytics, business intelligence, decision making, management science, data science,  and other areas in which sound informed decisions are needed.  Yet, the area continues to be  both exciting and intriguing, while remaining the needed support  to generate valuable analytical insights to support decision making and advanced research.  Given this increasing  importance of this foundation in the advanced analytics, machine learning and data science, AroniSmartIntelligence ™, one of the most advanced analytics tools with Big Data, Statistics, Econometrics, Machine Leaning, Text and Sentiment analysis, Support Vector Machine capabilities has  improved the key modules including  Neural Networks, Econometrics, Time Series, Bayesian Models,  Support Vector Machine,  Big Data Analytics,  and Text Analytics. The improvement will be coming in the new version AroniSmart 12.x, soon available on Apple's App Store®.  

AroniSmartIntelligence™: Neural Network Multi-Layer Perceptron

Artificial Neural Networks modelling has become an important area of advanced analytics and machine learning. The area is both exciting and intriguing, helping to generate valuable analytical insights to support decision making and advanced research.  Given the importance of this foundation in the advanced analytics, machine learning and data science, AroniSmartIntelligence ™, one of the most advanced analytics tools with Big Data, Statistics, Econometrics, Machine Leaning, Text and Sentiment analysis, Support Vector Machine capabilities has implemented a module on Neural Network, starting with Multi-Layer Perceptron Models.  

AroniSmartIntelligence™: Handbooks and Manual

One of the major foundations in sound advanced analytics that involve Statistics, Data Science, and Machine Learning is mastering the area of  probability distributions. To achieve their modelling and analytics goals, savvy statisticians, data scientists, and advanced modeling analysts need to have a good grasp of three keys areas in statistics: 1) understanding the probability distributions, including their relationships, 2) being able to select the best probability distributions and 3) Understanding and selecting the right statistics test.