Forecasting US GDP using Machine Learning and Mathematics | by Dron Mongia | Jul, 2024
What can we learn from this modern problem?14 min read·12 hours agoPhoto by Igor Omilaev on UnsplashGDP is a very ...
Tag: forecasting
Forecasting in the Age of Foundation Models | by Alvaro Corrales Cano | Jul, 2024
Benchmarking Lag-Llama against XGBoostCliffs near Ribadesella. Photo by Enric Domas on UnsplashOn Hugging Face, there are 20 models tagged “time ...
Beyond predicting the next token: how to overcome the limits of AI forecasting and decision making
One of the emerging challenges in the field of artificial intelligence is whether next-token prediction can truly model human intelligence, ...
Nixtla Releases StatsForecast 1.7.5 – Improved Time Series Forecasting with MFLES and Scikit-Learn Integration
Nixtla unveiled Stats Forecast 1.7.5, a major update that brings new features and improvements that further solidify its position as ...
Time Series Forecasting: A Practical Guide to Exploratory Data Analysis | by Maicol Nicolini | May, 2024
How to use Exploratory Data Analysis to drive information from time series data and enhance feature engineering using Python15 min ...
Compression Boost Indicator – How to use it?
The Squeeze Momentum indicator is a solid technical analysis tool that combines the principles of Bollinger Bands and Keltner Channels. ...
Advancing Time Series Forecasting: The Impact of Bi-Mamba4TS Bidirectional State Space Modeling on Long-Term Predictive Accuracy
Time series forecasting is increasingly vital in many sectors, such as meteorology, finance and energy management. Its relevance has increased ...
$9.37 billion in 2022, forecasting $14.02 billion by 2027
Quick View: InsanityBets introduces a non-custodial approach that allows users to “become the house.” This redistributes power and ensures fair ...
Chronos: the rise of basic models for time series forecasting
Exploring Chronos: How fundamental ai models are setting new standards in predictive analytics16 minute read·11 hours agoThis publication was co-authored ...
Practical monotonic time series forecasting with XGBoost, using Python | by Piero Paialunga | March 2024
This is how to use XGBoost in a forecasting scenario, from theory to practiceImage made by the author using DALL·E-3A ...
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