Gestalt Principles : Psychological theories about how people perceive patterns and objects.

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Dictionary Digital Marketing Artificial Intelligence AI
Artificial Intelligence ( AI ) is the concept of ' training ' computers to be able to 'think like humans'. In other words, to make algorithms able to perform operations similar to those that occur in the human mind - reasoning, planning, learning, understanding language.
Machine Learning (ML) can be defined as processes that search for patterns, dependencies, and invariance in large data sets (historically and in the future). The assumption is that the machine learns independently based on the information and data sets it collects. ML allows, based on the patterns and examples found, to answer the question of how to solve a given problem and what steps should be taken to do so.
Deep Learning (DL) is a part of ML. It uses ML techniques to solve problems by using neural networks that simulate the human decision-making process. It is useful in detecting financial fraud, spam, handwriting recognition, images, voice.
Natural Language Processing (NLP) uses ML techniques to ghana whatsapp lead search for patterns in information repositories in order to recognize the meaning of natural ( spoken ) language. An example would be recognizing the sentiment of social media users for a specific product or brand.
Big Data, in turn, is a database containing large volumes of structured and unstructured data and information, thanks to which AI is able to use patterns to build predictive models.
Turing Test – a standard intelligence test used to test intelligent algorithms, artificial intelligence. It is based on the judge not detecting that the questions he asks are answered by an algorithm, a machine and not a human. The Turing Test is conducted in conditions where the judge does not have the opportunity to use visual and auditory stimuli. The assessment is based on the answers to the questions asked.
AI Assessment – ​​Currently, a simple model for AI assessment is adopted. The scale starts from the optimal level , which means no better results can be achieved, definitely better than a human , which is better than any human , which is better than most humans, and the lowest level, worse than a human, which is worse than most humans.
TPR (true positive rate) – a parameter evaluating prediction algorithms, the total number of positively true predictions divided by the total number of positive values ​​in the entire data set. It is also called sensitivity (sensitivity, recall)
T NR(true negative rate) – this is a parameter defining the number of true negative predictions divided by the total number of negative values ​​in the entire set.
FPR (false positive rate) – this is 1 minus TNR
FNR(false negative rate) – it is 1 minus TPR
Collective Intelligence (Group Intelligence) – the concept that a community or group of people is more effective at performing larger thought processes than an individual. One of the best examples of the idea of ​​Collective Intelligence is Wikipedia.
Bayesian Program Synthesis (BPS) – a probability-based prediction technology used to train Artificial Intelligence (AI) tools using the minimum number of examples possible. It was invented by Gamalon . It is significantly more efficient than Google's Deep Learning (DL) solution.
Predictive Analytics , on the other hand, is an analysis process that allows us to create a picture of future events based on historical data and examples. Thanks to this, we know, for example, how to prepare communication processes with customers in a way that will be optimal for them. In terms of the Oxford definition, the systematic analysis of data or statistics in order to create predictive models.