463: Time Series Analysis
Super Data Science: ML & AI Podcast with Jon Krohn
00:00
Advancements in Time Series Analysis
This chapter explores the evolution of time series analysis, focusing on the TimeTK toolkit and the Model Time framework for machine learning. It highlights the integration of deep learning techniques, specifically LSTMs, and compares different machine learning libraries such as PyTorch and TensorFlow. Additionally, it discusses ensemble modeling as a strategy to boost forecasting accuracy, while showcasing successful applications in real-world projects.
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Transcript
