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Do Android Composers Dream of Electric Keyboards?
Editor’s Note: If you’re interested in the idea of AI with a dream of electric keyboards, see Joseph’s talk “The Soul of a New AI” at ODSC Europe 2019. My journey in AI begins with grammar. Raised in a mathematical home, I think I was discovering prime numbers when... Read more
Opening The Black Box—Interpretability In Deep Learning
Editor’s Note: See Joris and Matteo at their tutorial “Opening The Black Box — Interpretability in Deep Learning” at ODSC Europe 2019 this November 20th in London. Why interpretability?  In the last decade, the application of deep neural networks to long-standing problems has brought a breakthrough in performance and... Read more
Transaction Data Enrichment, an Opportunity for Financial Wellness
Editor’s Note: See Pramod’s talk “Transaction Data Enrichment and Alternative Data: An Opportunity for Business Growth and Risk Mitigation” at ODSC West 2019.  In a recent financial wellness survey of American adults, 58% of respondents said they did not have the financial freedom to enjoy life. 48% said they... Read more
Interoperable AI: High-Performance Inferencing of ML and DNN Models Using Open-Source Tools
TensorFlow? PyTorch? Keras? There are many popular frameworks to choose from when working with deep learning and machine learning models, each with its own pros and cons for practical usability in product development or research. Once you decide which to use to train your model, you need to figure... Read more
Missing Data in Supervised Machine Learning
Editor’s note: Andras is a speaker for ODSC West 2019! this October 29 to November 1! Be sure to check out his talk, “Missing data in supervised machine learning” there. Datasets are almost never complete and this can introduce various biases to your analysis. Due to these biases, your... Read more
Deep Learning with TensorFlow 2.0
Editor’s Note: See Jon’s talk “Deep Learning with TensorFlow 2.0” at ODSC West 2019.  This summer, I had a blast speaking at Immersive A.I.—the first annual Open Data Science Conference (ODSC) event in New York. The venue was flawless, the organizers were exceptionally well-prepared, and there was a remarkable... Read more
ODSC West 2019 Preview: Python for Data Acquisition
Editor’s Note: See Phil present his talk “Python for Data Acquisition”  at ODSC West 2019. What does it take, on the technical side, to get a project started? After you have an idea and find something you want to study or look into, you need to get some data.... Read more
Interpretability and the Rise of Shapley Values
Interpretability is a hot topic in data science this year.  Earlier this spring, I presented at ODSC East on the need for data scientists to use best practices like permutation-based importance, partial dependence, and explanations.  When I first put together this talk, a lot of it was fairly new... Read more
Community-Specific AI: Building Solutions for Any Audience
With half of the world population online, and spending over 5 hours a day there, online communities are flourishing. It is now easier than ever for niche communities to form: gamers can find other players and form teams, dating adults can find better matches, students of particular subjects can... Read more
Adapting Machine Learning Algorithms to Novel Use Cases
Editor’s Note: Kirk will present his talk “Adapting Machine Learning Algorithms to Novel Use Cases” at ODSC West 2019. If there was a metric for success in the data science profession, it would require a multi-dimensional scoring model. This metric would cover a data scientist’s technical skills and talents,... Read more