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Portfolio

Here are some examples of our work that have been carried our for clients.

Corporate Training 

We deliver corporate training based on custom AI curriculums to our clients to empower their employees with solid foundations and the latest research in machine learning and artificial intelligence.


(Dec 2019) Bayesian learning

This 1-week/5 days training was held at Petrobras University in Rio de Janeiro and covered topics relevant to Bayesian learning, based on the book of Shinichi Nakajima (Variational Bayesian Learning Theory) who happened to be the lead lecturer besides Sergey Dogadov. It was structured in two consecutive lectures a 1.5h in the morning and a 4h practical exercise based on Jupyter notebooks in the afternoon per day. Participants had the opportunity to apply their knowledge in a hands-on project on the last day of the training. The audience consists of 10 industrial researchers with MSc and Ph.D. background in physics, math, computer science, and geology.


Largo Rodrigues de Freitas and Ipanema, Rio de Janeiro, Brazil

(Apr 2019) machine learning

This 2-week/10 days training held at Petrobras University in Rio de Janeiro covered the foundations of machine learning. Ie. it covered a variety such as clustering, Bayesian methods, reinforcement learning, neural networks, support vector machines, kernels, and more. It was structured in two consecutive lectures a 1.5h in the morning and a 4h practical exercise in the afternoon per day. The audience consists of 15 industrial researchers with MSc and Ph.D. background in physics, math, computer science, and geology.


Beach of Copacabana, Rio de Janeiro, Brazil

(Nov 2018) Anomaly detection

This 1-week/4 days training was held at Petrobras University in Rio de Janeiro and covered topics relevant to anomaly detection, such as a high-level overview based on the book of Chandola (Outlier Analysis), non-linear optimization, kernels, and one-class learning. It was structured in two consecutive lectures a 1.5h in the morning and a 4h practical exercise based on Jupyter notebooks in the afternoon per day. Participants had the opportunity to apply their knowledge in a hands-on project on the last day of the training. The audience consists of 12 industrial researchers with MSc and Ph.D. background in physics, math, computer science, and geology.