News 2019
Dec 5, 2019
Finally! We finalized the PDF blueprints for Python Machine Learning 3rd edition last weekend. I am excited to anounce that the book will be published on Dec 12th, 2019. What's new? We modernized chapters 1-12 to work with the latest versions of NumPy, SciPy, Pandas, and scikit learn (v0.22). Next, we rewrote chapters 12-15 almost completely for TensorFlow 2.0. Lastly, we added two brand new chapters: Ch17: Generative Adversarial Networks for Synthesizing New Data and Ch18: Reinforcement Learning for Decision Making in Complex Environments. The book is already avaialble for pre-order on Amazon here, and I just made all the code examples publically available on GitHub here.
Oct 10, 2019
Excited to be invited to give a talk about "Predicting and Hiding Personal Information From Face Images Using Deep Learning" as part of the Machine Learning for Medical Imaging (ML4MI) Initiative Seminar Series at UW-Madison. If you are interested, the talk is on Fri, Oct 18 @ 4pm, at the Health Sciences Learning Center in room 1345.
Oct 10, 2019
I'll be giving a talk on facial attribute prediction and deep learning with PyTorch at UW-Madison's Data Science Club in the Genetics-Biotech Center (room 1441) at 6:30 - 8:00 pm. If you are interested, I am looking forward to seeing you there later today!
Oct 03, 2019
Benjamin Kaufman will be presenting a poster about our recent work on "A Study of Graph Neural Networks for Computing Strain Energy of Molecular Conformer Ensembles" at the Joint CIBM and BDS Annual Retreat tomorrow (Friday, October 4th, 2019; 9:00 a.m. – 5:00 p.m.; Discovery Building; 330 North Orchard Street, Madison WI). Hope to see you at the poster session 11 am - 12 pm!
Sep 20, 2019
Just started sharing my lecture material for STAT479: Machine Learning FS 2019 on GitHub, if you are interested: https://github.com/rasbt/stat479-machine-learning-fs19.
Jun 30, 2019
Looking forward to Discovery on Target conference in Boston on Sep 18, 2019, where I will be giving a talk on Machine-learning & AI-based approaches for GPCR bioactive ligand discovery.
Jun 26, 2019
As of July 2019, Our new article in collaboration with the iProbe Lab was just published, FlowSAN: Privacy-enhancing Semi-Adversarial Networks to Confound Arbitrary Face-based Gender Classifiers. The open access version is available here.
Jun 10, 2019
I am happy to announce that we just launched a special issue for the Information/Artificial Intelligence journal (open access) covering the exciting developments around "Machine Learning with Python" for which I am serving as an editor. I am looking forward to your submissions! The submission deadline is Dec 20, 2019. For more information, please see https://www.mdpi.com/journal/information/special_issues/ML_Python.
May 30, 2019
I am looking forward to the International Summer School of Deep Learning in Gdansk, Poland from July 1st - July 5th, 2019 (http://2019.dl-lab.eu), where I am giving both an invited keynote talk on Convolutional Neural Networks for Predicting and Hiding Personal Traits from Face Images and a tutorial lecture on Neural Networks for Frdinal Regression.
May 24, 2019
Now, with Spring semester 2019 coming to an end, I am excited to recap some of the students' exciting class projects around deep learning in a short blog post: "My First Year at UW-Madison and a Gallery of Awesome Student Projects".
May 05, 2019
Mty little article on machine learning and privacy protection just appeared in the Wisconsin State Journal. If you are interested, you can find the whole (short) article here on page 17.
