Machine learning is a category of algorithm that make the software application more accurate in predicting outcomes without being explicitly programmed .
The basic premise of machine learning is to build algorithms that can receive input data and use statical analysis to predict an output while updating outputs as new data becomes available.
Machine Learning was born from pattern recognition and the theory that computers can learn without being programmed to perform specific tasks . the good thing about Machine learning is the ability to independently adapt because it learns from the past computations to produce reliable , repeatable decisions and results .
What’s required to create good machine learning systems?
- Data preparation capabilities.
- Algorithms – basic and advanced.
- Automation and iterative processes.
- Ensemble modeling.