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

4Code

A simple machine learning code from TeamTreeHouse.

5Videos

StatQuest: A Gentle Introduction to Machine Learning

 

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