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A case study using machine learning and other methods applied to time series data
ResearchGate
A case study using machine learning and other methods applied to time series data. Victor Manuel Piedrafita Acin. Final projects. Fall 2023.
6 months ago
TimesNet: The Latest Advance in Time Series Forecasting
Towards Data Science
In previous articles, we have explored the latest advances in state-of-the-art forecasting techniques, starting with N-BEATS released in...
9 months ago
Global deep learning for joint time series forecasting
Towards Data Science
Machine Learning is a notoriously intricate field practised by academics and industries alike, constantly improving on its benchmarks and...
24 months ago
A review of machine learning concepts and methods for addressing challenges in probabilistic hydrological post-processing and forecasting
Frontiers
Probabilistic forecasting is receiving growing attention nowadays in a variety of applied fields, including hydrology. Several machine learning concepts and...
13 months ago
A holistic and proactive approach to forecasting cyber threats
Nature
Traditionally, cyber-attack detection relies on reactive, assistive techniques, where pattern-matching algorithms help human experts to scan...
14 months ago
12 Data Science Projects for Beginners and Experts
Built In
Data science is a booming industry that involves extracting information, analyzing it and putting it to use. Try your hand at these projects to develop your...
20 months ago
Comprehensive assessment, review, and comparison of AI models for solar irradiance prediction based on different time/estimation intervals
Nature
Solar energy-based technologies have developed rapidly in recent years, however, the inability to appropriately estimate solar energy...
25 months ago
Time-Series Forecasting: Deep Learning vs Statistics — Who Wins?
Towards Data Science
Time series, also sequential in nature, raise the question: what happens if we bring the full power of pretrained transformers to...
16 months ago
Using machine learning methods to predict electric vehicles penetration in the automotive market
Nature
Electric vehicles (EVs) have been introduced as an alternative to gasoline and diesel cars to reduce greenhouse gas emissions,...
14 months ago
Breakthroughs in Time Series Forecasting at Neurips 2020
Towards Data Science
A deep dive into the latest literature in time series forecasting and how you can use them for your business use cases.
43 months ago