Statistical Horizons will host Advanced Machine Learning, a 3-day seminar taught by Seth Flaxman, on October 13-15.

This seminar expands on topics covered in our introductory Machine Learning seminar, going beyond simple classifications and regression tasks and focusing on more complex problems.

You will gain a deeper understanding of the strengths, weaknesses, and principles underlying various approaches. By the end of the seminar, you will have the skills to:

• Understand the fundamentals of statistical machine learning and Bayesian machine learning.
• Utilize kernel methods and Gaussian processes.
• Develop models with Bayesian probabilistic programming and fit them with MCMC and variational inference.
• Go beyond the basics of neural networks to apply deep generative modeling, convolution neural networks, and recurrent neural networks to complex datasets.

This 3-day livestream seminar will be held via Zoom, but you can also join asynchronously by viewing the recorded videos of each session.

Please share this information with any colleagues, grad students, or others who may be interested. Email ashley@statisticalhorizons.com with any questions.

Thanks,
Ashley