Biology and Deep Learning (with Sebastian Raschka)
Explore the role of data science in modern biology and the power of deep learning in today's rapidly evolving data science landscape with Sebastian Raschka and Hugo.
About Sebastian Raschka
Sebastian Raschka received his PhD from Michigan State University developing novel computational methods in the field of computational biology. Among others, his research activities include the development of new deep learning architectures to solve problems in the field of biometrics. Sebastian has also recently accepted a position as Assistant Professor of Statistics at University of Wisconsin–Madison starting in summer.
Among his other works is his book “Python Machine Learning,” a bestselling title at Packt and on Amazon.com, which received the ACM Best of Computing award in 2016 and was translated into seven languages. In his free time, Sebastian loves to contribute to open source projects, and methods that he implemented are now successfully used in machine learning competitions such as Kaggle.
Links from the show
FROM THE INTERVIEW
- Sebastian's blog
- Sebastian on twitter
- Python Machine Learning, a book by Sebastian Raschka
- Mlxtend, a Python library of useful tools for the day-to-day data science tasks.
- Biopandas, working with molecular structures in pandas DataFrames.
- MusicMood, a machine learning approach to classify songs by mood.
- "Detecting the native ligand orientation by interfacial rigidity: SiteInterlock", Raschka et al. (2016)
- Sebastian's PhD thesis (check it out!)
- "Opportunities And Obstacles For Deep Learning In Biology And Medicine" (Ching et al., BioArXiV)
- "Semi-Adversarial Networks: Convolutional Autoencoders for Imparting Privacy to Face Images" (Mirjalili et al. co-authored by Sebastian).
FROM THE SEGMENTS
Data Science Buzzwords (with Spencer Boucher)
- "Learning multiple layers of representation" by Geoffrey Hinton
Statistical Pitfalls (with Michael Betancourt)
Original music and sounds by The Sticks.
