Case Studies, Tools, and Trends Shaping Market Predictions and Investments Artificial Intelligence (AI) has become a ...

Abstract: In the swiftly changing field of supply chain management, effective forecasting is crucial for optimizing ...

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Gain essential data science and machine learning skills with this certificate programme, advancing your career in AI-driven fields.

Six different papers in which Tom Hartvigsen and his colleagues are co-authors have been accepted by two of the top conferences in the machine learning and natural language processing fields.

Recent advances in AI, such as foundation models, make it possible for smaller companies to build custom models to make predictions, reduce uncertainty, and gain business advantage. Time series ...

Machine learning with imbalanced data Learn about under- and over-sampling, ensemble and cost-sensitive methods and improve the performance of models trained on imbalanced data. Feature engineering ...

In Kanpur, a couple named Rajeev and Rashmi Dubey allegedly defrauded over two dozen couples of Rs 35 crore, claimings their 'oxygen therapy' offered by a fake 'Israel-made time machine' could ...

Traditional machine learning methods suffer from the curse of dimensionality. Here, Ryan Samson, Jeffrey Berger, Luca Candelori, Vahagn Kirakosyan, Kharen Musaelian and Dario Villani introduce a novel ...

This project enhances agricultural weather forecasting by predicting solar radiation (SRAD) using machine learning and deep learning models, including KNN, Random Forest, XGBoost, LSTM, and hybrid ...

This study is an exploration of where we can expect added value for forecasting and nowcasting time series in official statistics by using deep learning techniques, as an alternative to classic time ...