The invention of Generative Adversarial Networks and associated tools for effective style transfer has opened up new vistas for artists. At the same time these developments also raise new questions about how we evaluate A.I., art, and A.I. generated art. These A.I. tools are not only creating a new genre of art, but also a […]
DESIGNING EFFECTIVE DECISION SUPPORT Challenges and Solutions Biases in human decision-making touch almost every aspect of our life. Consider that although humans are known to be ‘predictably irrational’, the decisions we make still impact several key sectors, from defense and intelligence, to medicine and finance, all the way to aerospace and transportation. This blog […]
How We Used Bayes’ Rule to Boost AWS Rekognition’s Confidence The best engineering teams execute in a lean manner, following agile development processes, and Very is no different. This framework ensures that we continuously deliver value through functional software solutions that can pivot whenever our clients’ business needs evolve. Projects that involve machine learning are […]
You have pioneered the research of finding global optimal in nonconvex problems, something that has been a big headache for every machine learning user. You have proved optimality in tensor factorization problems. Can you mention other areas where the community has found algorithms that find global optima? AA) It turns out that many non-convex machine […]
Our past Technical Chair, interviewed Agustín Azzinnari, Research Engineer at Tryolabs, on some of his recent work with deep learning techniques which were applied to perform product categorization over a large hierarchical taxonomy for the leading e-commerce site in Latin America.
Our past Technical Chair, interviewed Metis Senior Data Scientist Rumman Chowdhury and Metis bootcamp graduate Nathan Wieneke, regarding their 12 week Data Science bootcamp and some of the interesting projects that they’ve had their students working on, including a student success story.