An Opinionated Introduction to AutoML and Neural Architecture Search
http://www.fast.ai/2018/07/16/auto-ml2/
http://www.fast.ai/2018/07/16/auto-ml2/
Deep learning holds many mysteries for theory, as we have discussed on this blog. Lately many ML theorists have become interested in the generalization mystery: why do trained deep nets perform well on previously unseen data, even though they have way more free parameters than the number of datapoints (the classic “overfitting” regime)?
http://www.offconvex.org/2017/12/08/generalization1/
http://www.offconvex.org/2017/12/08/generalization1/
Off the convex path
Generalization Theory and Deep Nets, An introduction
Algorithms off the convex path.
An End-to-End Project on Time Series Analysis and Forecasting with Python
https://towardsdatascience.com/an-end-to-end-project-on-time-series-analysis-and-forecasting-with-python-4835e6bf050b
https://towardsdatascience.com/an-end-to-end-project-on-time-series-analysis-and-forecasting-with-python-4835e6bf050b
Medium
An End-to-End Project on Time Series Analysis and Forecasting with Python
Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics…