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Time Series Forecasting with XGBoost and LightGBM: Predicting Energy Consumption Problem Preprocessing Training the Models Evaluation Preprocessing Weather Data Conclusion & Future Steps

The weather data improve the performance in each models by a major margin. Particularly, within the XGBoost scenario the MAE is reduced by almost 44%, while the MAPE moved from 19% to 16%. For...

Rejuve.AI’s RJV Utility Token Launch: The Way forward for Longevity Research Rejuve.AI Tokenomics Rejuve.AI within the SingularityNET Ecosystem Rejuve.AI Token Generation Event Timeline Of Events RJV Token 5% Airdrop...

Rejuve.AI’s Token Generation Event starts with KYC on March 1st, Launchpads on March Thirteenth-Fifteenth and TGE on March sixteenth!Update: KYC IS LIVE NOW — https://app.hedgetech.ai/kyc/startGreetings Singularitarians,SingularityNET is happy to announce the launch of the...

“The Birth of Artificial Creativity: How GANs are Redefining the Boundaries of Digital Art, and Shaping the Way forward for Creative Industries!” Index What could occur...

The Turing Test created by British mathematician Alan Turing in 1950 was designed to find out whether a machine is able to considering and behaving like a human being.Mainly, the Turing Test is a...

MIT researchers develop an AI model that may detect future lung cancer risk

The name Sybil has its origins within the oracles of Ancient Greece,...

Intel Releases “The Way forward for Avionics” White Paper

Intel has collaborated with Daedalean, a Swiss startup that creates machine-learned solutions for the aviation industry. Their recent white paper presents a reference design for an AI application that acts as a never-distracted copilot,...

Scaling Media Machine Learning at Netflix Introduction Infrastructure challenges and components Case study: scaling match cutting using the media ML infra Conclusion and Future Work

By Gustavo Carmo, Elliot Chow, Nagendra Kamath, Akshay Modi, Jason Ge, Wenbing Bai, Jackson de Campos, Lingyi Liu, Pablo Delgado, Meenakshi Jindal, Boris Chen, Vi Iyengar, Kelli Griggs, Amir Ziai, Prasanna Padmanabhan, and Hossein...

Scaling Media Machine Learning at Netflix Introduction Infrastructure challenges and components Case study: scaling match cutting using the media ML infra Conclusion and Future Work

By Gustavo Carmo, Elliot Chow, Nagendra Kamath, Akshay Modi, Jason Ge, Wenbing Bai, Jackson de Campos, Lingyi Liu, Pablo Delgado, Meenakshi Jindal, Boris Chen, Vi Iyengar, Kelli Griggs, Amir Ziai, Prasanna Padmanabhan, and Hossein...

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