Machine Learning: Difference between revisions
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* Semi-supervised Learning | * Semi-supervised Learning | ||
* Reinforcement Learning | * Reinforcement Learning | ||
==Terminologies== | ==Terminologies== | ||
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* Training | * Training | ||
* Prediction | * Prediction | ||
==References== | |||
* [https://www.geeksforgeeks.org/how-to-start-learning-machine-learning/ Start Learning Machine Learning] | |||
Revision as of 00:11, 26 June 2021
Arthur Samuel coined the term Machine Learning in 1959 and defined it as a Field of study that gives computers the capability to learn without being explicitly programmed. And that was the beginning of Machine Learning! In modern times, Machine Learning is one of the most popular (if not the most!) career choices. According to Indeed, Machine Learning Engineer Is The Best Job of 2019 with a 344% growth and an average base salary of $146,085 per year.
Prerequisites
- Multivariate Calculus
- Linear Algebra
- Statistics
- Python
Concepts
- Types
- Practicing
- Terminologies
- Learning Resources
- Take part in Competitions
Types
- Supervised Learning
- Unsupervised Learning
- Semi-supervised Learning
- Reinforcement Learning
Terminologies
- Model
- Feature
- Target (Label)
- Training
- Prediction