Interesting SE Links
Just a place to put some links to things I should check out more…
Resources
The No Estimates Movement
http://xprogramming.com/articles/the-noestimates-movement/
https://www.neilkillick.com/blog/noestimates-part-1-doing-scrum-without-estimates
http://agileanswerman.com/no-estimates-does-not-stop-agile-metric-abuse/
http://zuill.us/WoodyZuill/2013/04/25/agile2013-lightning-talk-noestimates/
User Stories and Story Points
http://agilefaq.wordpress.com/2007/11/13/what-is-a-story-point/
Risk Management
https://www.neilkillick.com/blog/noestimates-an-alternative-means-of-risk-management
Languages et al
https://ziglang.org/ a competitor of Rust https://www.rust-lang.org/
https://superset.apache.org/ a viz platform
https://www.infoworld.com/article/3709196/the-best-open-source-software-of-2023.html
Time Series Analysis
https://wwwmpa.mpa-garching.mpg.de/gadget/gadget2-paper.pdf
https://wwwmpa.mpa-garching.mpg.de/gadget/users-guide.pdf
https://machinelearningmastery.com/time-series-forecasting-methods-in-python-cheat-sheet/
https://pywavelets.readthedocs.io/en/latest/regression/dwt-idwt.html
https://ataspinar.com/2018/12/21/a-guide-for-using-the-wavelet-transform-in-machine-learning/
https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-018-2155-9 wavelet-based sequence similarity
http://faculty.washington.edu/dbp/s530/ serious grad-level slides of data analysis
Seasonality Analysis and Forecast in Time Series | by Ayşenur Özen | The Startup | Medium
2.3 Time series patterns | Forecasting: Principles and Practice (2nd ed)
A guide for using the Wavelet Transform in Machine Learning – ML Fundamentals
Long short-term memory - Wikipedia
Autoregressive integrated moving average - Wikipedia
5.8 Nonlinear regression | Forecasting: Principles and Practice (2nd ed)
Characteristics of time series - IBM Documentation
The Wavelet Transform. An Introduction and Example | by Shawhin Talebi | Towards Data Science
python - Normalization of several time-series of different lengths and scale - Stack Overflow
Wavelet Analysis - an overview | ScienceDirect Topics
Overview of multilevel wavelet decompositions — PyWavelets Documentation
Time series data characteristics. 3 as-old-as-the-hills characteristics… | by The Nam | Medium
Chapter 5 Time series regression models | Forecasting: Principles and Practice (2nd ed)
Forecasting: Principles and Practice (2nd ed)
Forecasting: Principles and Practice (3rd ed)
Chaotic time series prediction using wavelet transform and multi-model hybrid method - Extrica
thjashin/multires-conv: Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)
Wavelet analysis; significance levels; confidence intervals;
https://staff.washington.edu/dbp/
http://faculty.washington.edu/dbp/s519/
Dynamic time warping - Wikipedia
11 Classical Time Series Forecasting Methods in Python (Cheat Sheet) - MachineLearningMastery.com
Cornish-Fisher Expansion - Value-at-Risk: Theory and Practice