Machine Learning
Machine Literacy involves the use of Artificial Intelligence to enable machines to study a task from experience without programming them exactly about that task. (In short, Machines learn automatically without mortal hand holding!!!) This process starts with feeding them good quality data and also training the machines by erecting colorful machine literacy models using the data and unlike algorithms. The choice of algorithms depends on what type of data do we've and what kind of task we're trying to automate.
However, generally speaking, Machine Learning Algorithms are divided into 3 types
- Supervised Machine Learning Algorithms,
- Unsupervised Machine Learning Algorithms,
- Reinforcement Machine Learning Algorithms.
Related Conference of Machine Learning
July 21-22, 2025
11th World Congress on Computer Science, Machine Learning and Big Data
Barcelona, Spain
July 28-29, 2025
3rd World Summit on Big Data, Machine Learning and Artificial Intelligence
Vancouver, Canada
December 01-02, 2025
11th International Conference and Exhibition on Mechanical & Aerospace Engineering
Vancouver, Canada
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