Initial data are not rational and chaotic, but they can be #systematized in #excel. Then the analyst should write an analysis program by himself or with his assistants or choose a neural network based on TensorFlow, HubPyTorch, Caffee and evaluate their effectiveness at the moment.
It is important for us to use money and time and other resources, including actual algorithms, in evaluating events now and events in the future jackpot, to #forecast #lotteries, probability of accidents, weather anomalies and other high-risk events / VRS.
The problem is that very few algorithms can PREVENT the FUTURE. Even after starting to describe the process in 2020 it is already 2023.
The ease of solving a complex problem for programming and structuring chaos with AI.
It is important to understand what to extract from Big Data to see from Big Data as fractional, or to perceive data as monolithic. It seems to everyone that in lotteries, all you have to do is build an array of statistics and archives - a spreadsheet in excel.
Then write your own analysis program in Python and you can enjoy the beauty of flat charts. Beautiful, but useless - for the real work of AI and reliable predictions.
Of course big money and prizes+multidimensional arrays are much more interesting and useful than two-dimensional ones. But who taught the analyst to search and find #alternative #strategy? After all, this is not taught at school, at university or on paid analyst courses for $300000.