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Introduction to Machine Learning Using Python - PyCon India

Introduction to Machine Learning Using PythonVikram Kamath Contents:1. Introduction /Definition2. Where and Why ML is used3. Types of Learning4. Supervised Learning Linear Regression & Gradient Descent 5. Code Example6. Unsupervised Learning Clustering and K-Means7. Code Example8. Neural Networks 9. Code Example10. Introduction to Scikit-Learn Definition: 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 Classification: Digit RecognitionExample:Input ( ) : Image FeaturesOutput (Y): Class Labels { }XiXiXiy0,y1.

In essence: The aim of unsupervised learning is to find clusters of similar inputs in the data without being explicitly told that some datapoints belong to one class and the other in other classes.

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