IITM Pravartak launches second cohort of Applied Artificial Intelligence & Deep Learning ...

Seven-month LIVE online programme, delivered with TimesPro, builds hands-on capability in Python, TensorFlow, PyTorch, and ...
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IITM Pravartak launches second cohort of applied artificial intelligence and deep learning ...

Seven-month LIVE online programme, delivered with TimesPro, builds hands-on capability in Python, TensorFlow, PyTorch, and ...

From Text To Tables: Why Structured Data Is AI’s Next $600B Frontier

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...
IEEE

Multimodel Forecasting of Technology-Focused ETFs Using ARIMA and LSTM

Abstract: This study presents a comparative approach to short-term forecasting of five technology-focused exchange-traded funds (ETFs)—AIQ, BOTZ, QQQ, VGT, and XLK—using two modelling techniques: the ...
IEEE

Short-Term Load Forecasting Using STL Decomposition and Stacking Ensemble Learning

Abstract: This paper proposes a short-term load forecasting model combining Seasonal-Trend decomposition using Loess (STL decomposition) and Stacking ensemble learning. The method decomposes power ...

IIT Madras Pravartak Opens Admissions For Applied AI And Deep Learning Course

The seven-month programme is aimed at working professionals seeking to build production-ready artificial intelligence ...

Not all MMM tools are equal: Meridian, Robyn, Orbit, and Prophet explained

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.