Modeling Archives - Open Data Science - Your News Source for AI, Machine Learning & more

How AI is Changing Creativity, and How You Can Use it Too

Featured Post Machine Learning Opinion ai art ai changing creativity Application GANs machine learning artposted by Ava Burcham, ODSC September 17, 2019

The limits and expectations of creativity are always being expanded upon: new tools are being created, new techniques discovered, new artists entering the scene. Now more than ever, AI is being considered in all three of those aspects. It begs the question, how is AI changing creativity? And moreover,... Read more

Machine Learning for Continuous Integration

Conferences Featured Post Machine Learning Modeling ODSC Speaker continuous integration Machine Learningposted by ODSC Team September 16, 2019

Editor’s Note: are presenting their talk“Machine Learning for Continuous Integration” at ODSC 2019 Europe. Continuous Integration and Data As more applications move to a DevOps model with CI/CD pipelines, the testing required for this development model to work inevitably generates lots of data. This is also true for large... Read more

Machine Learning Model Fairness in Practice

Conferences Data Science for Good Modeling ODSC Speaker fairness fairness in machine learning Machine Learningposted by Jakub Czakon September 13, 2019

Editor’s Note: See Jakub’s talk about Machine Learning “Model Fairness in Practice” at ODSC West 2019 In the last few years, the interest around fairness in machine learning has been gaining a lot of momentum. Rightfully so: our models are becoming more and more prevalent in our daily lives,... Read more

Do Android Composers Dream of Electric Keyboards?

Conferences Modeling NLP/Text Analytics ODSC Speaker creative ai creativity language processing NLPposted by Joseph Blue September 13, 2019

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

Conferences Deep Learning Modeling ODSC Speaker Deep Learning Interpretability Interpretability In Deep Learningposted by ODSC Team September 11, 2019

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

The Best Machine Learning Research of Summer 2019

Academic Research Machine Learning Modeling Machine Learning Machine learning research Researchposted by ODSC Team September 11, 2019

Academic institutions, AI labs, and research departments of other organizations are constantly generating novel insights into data science, whether it’s machine learning, deep learning, NLP, or other disciplines. Summer 2019 generated some interesting machine learning research, and here are a few of our top picks. [Related Article: The Best... Read more

Interoperable AI: High-Performance Inferencing of ML and DNN Models Using Open-Source Tools

Conferences Machine Learning Modeling ODSC Speaker Europe 2019 Interoperable AIposted by ODSC Team September 10, 2019

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

Conferences Modeling ODSC Speaker West 2019posted by Andras Zsom September 9, 2019

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

FSGAN: Subject Agnostic Face Swapping and Reenactment

Academic Research Machine Learning Modeling face swapping GANs Machine Learningposted by Ava Burcham, ODSC September 9, 2019

Generative adversarial networks are getting a lot of press as the general public raises their fears on the forgery techniques, but the data science community has been tracking their development, precision, benefits, and threats for years. Recently though, the team of Yuval Nirkin, Yosi Keller (both of Bar-Ilan University),... Read more

Deep Learning with TensorFlow 2.0

Conferences Deep Learning ODSC Speaker Tools TensorFlow West 2019posted by Jon Krohn September 6, 2019

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