Andreas Müller chats with Seth Juarez about his journey, watch for a short overview of scikit-learn and introduce his new dabl project. Stay tuned till the end to find out what he thinks is next for ML.
More Information:
This second part of the tutorial session from SciPy 2018 provides an introduction to machine learning and scikit-learn “from the ground up” –starting with core concepts of machine learning, some example uses of machine learning, and how to implement them using scikit-learn. Going in detail through the characteristics of several methods, Andreas Mueller and Guillaume Lemaitre discuss how to pick an algorithm for your application, how to set its hyper-parameters, and how to evaluate performance.
This tutorial from SciPy 2018 provides an introduction to machine learning and scikit-learn “from the ground up” –starting with core concepts of machine learning, some example uses of machine learning, and how to implement them using scikit-learn.
Going in detail through the characteristics of several methods, Andreas Mueller and Guillaume Lemaitre discuss how to pick an algorithm for your application, how to set its hyper-parameters, and how to evaluate performance.
