In some cases an expert system may make more sense than machine learning. You can use AI to automate decision-making in a specific field without training on huge amounts of data.
In some cases an expert system may make more sense than machine learning. You can use AI to automate decision-making in a specific field without training on huge amounts of data.
Machine learning gradient descent helps machines see how far off they are from making accurate predictions. Then the machine learning algorithm to tweak the learning model.
Extract Transform Load (ETL) comes from data warehousing. The ETL process is about getting data from multiple data sources and using an ETL tool to extract value.
Turing's imitation game considers the question of whether an artificial intelligence agent is truly intelligent. Alan Turing proposed this to test the computing power of artificial general intelligence.
The data scientist role is about discovering insights in your data by using common data science techniques.
Choosing the right machine learning algorithm is one of the greatest challenges facing your data science team.