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Conferences

Handling Missing Data in Python/Pandas

Conferences Modeling Python Tools & Languages Conferences ODSC West Pandas Pythonposted by Daniel Gutierrez, ODSC November 21, 2018

Key Takeaways: It’s important to describe missing data and the challenges it poses. You need to clarify a confusing terminology that further adds to the field’s complexity. You should take the time to review methods for handling missing data. You need to learn how to apply robust multiple imputation... Read more

Thomas Wiecki of Quantopian on ‘Minding the Gap’ Between Statistics and Machine Learning at ODSC Europe 2018

Conferences Modeling Statistics Conferences Machine Learning ODSC Europe Statisticsposted by Daniel Gutierrez, ODSC November 20, 2018

Key Takeaways: It’s important for data scientists to understand the so-called “gap” between statistics and machine learning, and how there actually is a lot of commonality between the two; it’s just a matter of how you look at things. PyMC3 is a very useful probabilistic programming framework for Python.... Read more

Active Learning: Your Model’s New Personal Trainer

Conferences Modeling Conferences Machine Learning ODSC Europeposted by Brandon Dey, ODSC November 20, 2018

First, some facts. Fact: active learning is not just another name for reinforcement learning; active learning is not a model; and no, active learning is not deep learning. What active learning is and why it may be an important component of your next machine learning project was the subject... Read more