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Machine Learning Strategies for Time Series Forecasting
Forecasting time-series data has applications in many fields, including finance, health, etc. There are potential pitfalls when applying classic statistical and machine learning methods to time-series problems. This talk will give folks the basic toolbox to analyze time-series data and perform forecasting using statistical and machine learning models, as well as interpret and convey the outputs. PyData is an educational program of NumFOCUS, a 501 3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other.
Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.99)
Industry:
- Information Technology > Security & Privacy (0.63)
- Information Technology > Services (0.40)
Technology:
Technology:
Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.33)
Technology:
Technology:
- Information Technology > Artificial Intelligence > Machine Learning (0.94)
- Information Technology > Communications > Social Media (0.76)
- Information Technology > Data Science > Data Mining > Big Data (0.57)
Technology:
- Information Technology > Artificial Intelligence > Machine Learning (0.94)
- Information Technology > Communications > Social Media (0.76)
- Information Technology > Data Science > Data Mining > Big Data (0.57)
Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.48)