AroniSmartIntelligence™: Version 12.1.x Econometrics - Marketing Mix Models

Machine Learning and Data Science 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 tool to generate valuable analytical insights to support decision making and advanced research. A critical area includes Marketing Mix predictive models, in which Multiplicative Models and LogLog Models, built on sound Data Scinece capabilities have been the major focus, as businesses try to grow by targeting the right customers and optimally allocating their marketing budget.  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, Neural Network, Support Vector Machine capabilities has continually  improved the key modules including  Neural Networks, Econometrics, Time Series, Bayesian Models,  Support Vector Machine, Big Data Analytics,  and Text Analytics. The latest improvements  are  in the new version AroniSmart 12.1.x, available on Apple's App Store®, starting today.  

AroniSmartIntelligence Stock Market Indices Time Series Support Vector Machine and Neural Network Analysis

After a fueled momentum over 2021, the stock market has started the year 2022 with volatility. The latest Q3 2021 stock market perfomance figures reminded of the increasing market volatility and other dynamics in late Q1 and early Q2, 2021. Major questions coming from AroniSmartIntelligence™ users have over the 2021 year focused on how to use AroniSmartIntelligence capabilities to analyze the connection among the key Stock market indices, especially NASDAQ vs  Dow Jones(DJI), S&P 500,  Russell 2000, Gold,  and Oil.   AroniSmart™ team, leveraging the Machine Learning Time Series capabilities, including Support Vector Machine,  and Neural Network Analysis of AroniSmartIntelligence™ ,  has analyzed the trends of  NASDAQ  and DJI vs  the  other stock indices (DJI, S&P 500, Russell 2000, Oil, Gold)  between  early Jan 2021 and  early Jan 2022 and came up with insights and  projections on the dynamics.   The insights are presented below (for disclaimer and terms, check AroniSoft website. For related analyses of Stock Markets using Time Series, Dominance Analysis, and Neural Network capabilities see here AroniSmartIntelligence™ in Action: Time Series Support Vector Machine and Neural Network Analysis of Stock Market Indices in Q4 2020 - Q4 2021)

AroniSmartIntelligence Stock Market Indices Time Series Support Vector Machine and Neural Network Analysis

After a fueled momentum since Q4 2020, the stock market has experienced seesaw dynamics since late Q3 2021. The latest Q3 2021 stock market pefomance figures reminded of the increasing market volatility and other dynamics in late Q1 and early Q2, 2021. Major questions coming from AroniSmartIntelligence™ users have recently focused on how to use AroniSmartIntelligence capabilities to analyse the connection among the key Stock market indices, especially NASDAQ vs  Dow Jones(DJI), S&P 500, and Russell 2000.   AroniSmart™ team, leveraging the Machine Learning Time Series capabilities, including Support Vector Machine,  and Neural Network Analysis of AroniSmartIntelligence™ ,  has analyzed the trends of  NASDAQ vs  the  other stock indices (DJI, S&P 500, Russell 2000)  between Q4 2020 and  Q4 2021 and came up with insights and  projections on the dynamics.   The insights are presented below (for disclaimer and terms, check AroniSoft website. For related analyses of Stock Markets using Time Series, Dominance Analysis, and Neural Network capabilities see here AroniSmartIntelligence™ in Action: Apple (AAPL) Stock Performance and Momentum Analysis with Support Vector Machine and Dominance Analysis in Q3 2021) ( For More on AroniSoft LLC and AroniSmart products click here).  

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.