Max Mergenthaler and Fede Garza - Quantifying Uncertainty in Time Series Forecasting

Eng & Kwon - Scaling data workloads using the best of both worlds: pandas and Spark

MLBBQ: “Are Transformers Effective for Time Series Forecasting?” by Joanne Wardell

TimeGPT, Nixtla & Forecasting with Max Mergenthaler #53

Adaptive Conformal Predictions for Time Series | ISDFS

Thomas Wiecki - Solving Real-World Business Problems with Bayesian Modeling | PyData London 2022

Автоматизированное извлечение и отбор признаков для сложных задач прогнозирования временных рядов.

Kishan Manani- Backtesting and error metrics for modern time series forecasting | PyData London 2024

Kishan Manani - Feature Engineering for Time Series Forecasting | PyData London 2022

A Tutorial on Conformal Prediction

Hierarchical Time Series With Prophet and PyMC (Matthijs Brouns)

Time, Interrupted: Measuring Intervention Effects with Interrupted Time-Series Analysis - Ben Cohen

Tamara Louie: Applying Statistical Modeling & Machine Learning to Perform Time-Series Forecasting

Challenges in Time Series Forecasting

Hierarchical Forecasting in Python | Nixtla

Музыка для глубокого сосредоточения и улучшения концентрации — 5 часов фоновой музыки для обучения,

Cordier & Lacombe - Boosting AI Reliability: Uncertainty Quantification with MAPIE

Benjamin Vincent - What-if- Causal reasoning meets Bayesian Inference | PyData Global 2022

TimeGPT: A Foundation Large Time Series Model

Forecasting using N Hits

Прогнозирование временных рядов с помощью XGBoost — используйте Python и машинное обучение для пр...