Machine Learning Quick Talk

The quick conversation of few machine learning concept in GDG Ahmedabad community.

Transcript

1. Machine Learning Quick Talk ML for every one @krunal3kapadiya #IndiaMLCC
2. Krunal Kapadiya Google Certified Associate Android Developer
3. Agenda - Generalization - Training set and Testing set - Validation
4. Before we start
5. Let’s start a story NOTE: We will learn ML with story of Jonathan Livingston Seagull
7. Measure of central tendency What is Mean? - Average value from dataset
8. Measure of central tendency What is Mean? - Average value from dataset What is Median? - Middle value of dataset
9. Measure of central tendency What is Mean? - Average value from dataset What is Median? - Middle value of dataset What is Mode? - Repeated value of dataset
10. Measure of central tendency http://bit.ly/MeasureCentralTendency
11. Generalization (a.k.a out of sample error) - Measure of accuracy for previously unseen data - Difference between expected and proven error - Mostly occurs in deep learning model, training sets working fine, but not fitting in real data
12. Training set and Testing set
13. Validations
18. Give me the reference links - https://developers.google.com/machine-learning/crash-course/ml-intro - https://www.kaggle.com/learn/overview - https://towardsdatascience.com/train-test-split-and-cross-validation-in-python- 80b61beca4b6
19. Thank You https://krunal3kapadiya.app/ #IndiaMLCC @krunal3kapadiya if accuracy_score>0.75: