Hackathon Hacker's Guide to Machine Learning

This talk emphasis on how hackathon participants can learn the basics of machine learning and use it during the hackathon.

Transcript

1. अतः ी मशीन ल नग कथा । By Pratik Parmar
2. Access this presentation with GIFs:https://bit.ly/2S9uWgt
3. Have you ever wanted to predict the future?
4. Machine Learning uses historical data to make predictions
5. AI vs ML vs DL
6. So you wanna use ML in your project?
7. Do you really need ML?
8. Most important thing: DATA
9. TensorFlow / PyTorch / Scikit-learn
10. Machine Learning Studio by Microsoft • Visual editor for composing, testing, refining, and deploying machine-learning models.
11. Deep Learning Studio by Deep Cognition • Design, train, and deploy deep learning models without coding. • Supports TensorFlow and MXNet. • Works Offline
12. Which Algorithm to use?
13. Classification • Predict a category, ◦ what income range you fall into ◦ which cricket team you cheer ◦ which political party you prefer ◦ most famous, hotdog / not hotdog app
14. Regression • Predict a value ◦ Someone’s income ◦ The price of fuel ◦ Or the skyrocketing price of house
15. Anomaly detection • Find anomalies in the data ◦ credit card fraud detection
16. http://tiny.cc/mlalgo
17. http://tiny.cc/mlalgo OR https://bit.ly/2WHOAUe
19. AutoML
21. Machine Learning APIs • Google • Microsoft Vision API Natural Language API Text-to-Speech API Video Intelligence API Translation API Jobs API
23. Thank You !