Building Skynet: Machine Learning for Software Developers
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The document discusses the application of machine learning (ML) and classifiers, emphasizing the importance of data formatting and training models to improve user experience. It mentions the use of classified data and the consideration of various factors such as application size and available data for ML implementation. Additionally, it touches on practical aspects of using ML to enhance efficiency and streamline processes.
Building Skynet: Machine Learning for Software Developers
- 2. I KNOW WHAT YOU DID NEXT SUMMER
- 9. VOLUNTEERS ?
- 12. As WE GROW UP WE GAIN EXPERIENCE
- 13. WE COPY OTHERS AS WE GROW UP TO LEARN WORDS
- 16. 푃퐴퐵= 푃퐵퐴푃퐴 푃(퐵)
- 17. NHS CHOICES
- 21. | = Given that
- 22. Example
- 27. Example
- 28. PRODUCTION?
- 29. SAVE TIME AND MAKE LIFE EASIER
- 30. M A M L
- 31. CLASSIFIERS
- 34. Get data in right format
- 35. Train model
- 36. Using trained data to make guesses
- 39. Calling our web service
- 43. CAN I USE ML?
- 44. DO I HAVE DATA?
- 45. But what about application size?
- 46. USER EXPERIENCE