Download a Free Demo of AroniSmartIntelligence™ with Machine Learning, Neural Network, Econometrics and Time Series Analysis, Marketing Mix Analytics, and Data Science The latest version of AroniSmartIntelligence ™ is available in App Store®, with optimized Machine Learning including Support Vector Machine, Neural Networks, and the latest advances in Econometrics, Time Series Analysis. Forecasting, Marketing Mix Models, and Text and Sentiment Analytics (NLP). Explore and know more by downloading the demo here (click on the link to download the demo). Read more …
Version 3.0 of AroniStatMobile™, the Leading Mobile Statistics Reference for Apple iPad, in App Store®. A new version of AroniStatMobile™ is available in App Store®. AroniStatMobile™ is a quick smart statistical reference tool on iPad®. It is intended for beginners, students of statistics, and advanced statisticians. Read more …
AroniSmartIntelligence™ Neural Network Capabilities: 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 module on Neural Network, starting with Multi-Layer Perceptron Models. Read more …
AroniSmartIntelligence™ on Probability Distributions: Relationships, Selection and Statistics Tests 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. Read more …