Day 1 of Ken Jee’s #66DaysofData.com: Intro to Machine Learning. I watched the 1st/69 videos in the playlist “Machine Learning” on Youtube’s StatQuest with Josh Starmer.
1What is Machine Learning?
“Field of study that gives computers the ability to learn without being explicitly programmed” ~ Arthur Samuel, 1959
“A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E.” ~ Tom Mitchell, 1998
Machine Learning learns patterns from existing data and applies it to new data.
2Applications of Machine Learning:
Machine learning is used in Image Recognition, Speech Recognition, Medical Diagnosis, Traffic prediction, Product recommendations, Self-driving cars, Email Spam and Malware Filtering, Virtual Personal Assistant, Online Fraud Detection, Stock Market trading, Automatic Language Translation, etc.
3Types of Machine Learning Algorithms
- Supervised machine learning algorithms
- Unsupervised machine learning algorithms
- Semi-supervised machine learning algorithms
- Reinforcement machine learning algorithms
A simple machine learning code from TeamTreeHouse.
StatQuest: A Gentle Introduction to Machine Learning