Every year I learn new things. In the articles listed below I record the various things I've learned over the years.

• 2014
• 2015
• 2016
• 2017
• 2018
• 2019
• 2020
• 2021
• 2022
• 2023
• 2024
• 2025

• Pytorch
• Time series
  • ARIMA
  • Trend/seasonality/error/residual
• Statistics
  • Estimation statistics
• Scikit-learn
• Numpy
• Plotly
• MLflow
• PyTorch

• Chinese Mandarin
• Scikit-learn
• Time series

• Apiary
• API writing

In this article I define a 1-5 rating scale for books in order to be consistent across my evaluations. Given that rating books is somewhat subjective, introducing some amount of standardization on how I rate them should help with managing my reading.

Format of presentation:

Score (from 1 to 5) Representative emoji

• Satisfaction
• Words expressing the level of satisfaction
• Strength of recommendation

1 🤮

• unsatisfactory
• very bad, horrible, boring, repetitive, disagreeable to read, waste of time, can't force myself to read
• strongly not recommended

2 ☹️

• unsatisfactory
• bad
• not recommended

3 😐

• satisfactory
• neutral
• might want to read

4 ☺️

• satisfactory
• good
• recommended

5 😍

• satisfactory
• very good, great, amazing, exciting, intriguing, fascinating, full of new knowledge, can't stop reading
• strongly recommended

References

• https://readingbookslikeaboss.com/review-rating-scale/
• https://www.writoscope.com/reading/how-rate-book-rating-system/