What the hell am I doing?
summary
A developer built a program that logs their actions at least once per minute to understand and improve their life. The talk covers using data-science and machine-learning techniques to model personal activity, including real-time feedback mechanisms to reduce time wasted on distractions, and draws practical conclusions and guidance for reproducing the experiment.
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chapters (13)
- 0:00Introduction
- 2:47Personal usage data
- 8:23Window titles to vectors
- 13:57Document similarity
- 19:50Clustering data
- 26:20PCA for dimension reduction
- 31:52k-NN classification
- 35:47Support vector machines (SVM)
- 43:29Activity prediction from text
- 47:23Neural networks for image recognition
- 53:58Activity detection via screenshots
- 57:39Conclusion
- 59:02Q&A
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