Interpreting its sentiment analysis algorithm: BERT and its attention coefficients (1/2)
Two illustrations of how attention coefficients can be a source of interpretability
Two illustrations of how attention coefficients can be a source of interpretability
Hi everyone, we are now in September and we release our 6th Newsletter! Ranging from podcasts to tutorials, this Newsletter is made for practicioners!
This article is part of a series of articles which will introduce several optimization techniques, from traditional (yet advanced) Mathematical Optimization solvers and associated packages to Deep Reinforcement Learning algorithms, while tackling a very famous Operations Research problem: the multi-knapsack problem. Here, the focus is on an approach based on two famous reinforcement learning algorithms: Q-Learning and Policy Gradient.
This article is part of a series of articles which will introduce several optimization techniques, from traditional (yet advanced) Mathematical Optimization solvers and associated packages to Deep Reinforcement Learning algorithms, while tackling a very famous Operations Research problem: the multi-knapsack problem. Here, the focus is on traditional optimization techniques.
Enhance your knowledge on Deep Learning techniques by understanding what neural ODEs are and how we could benefit from them.
We are now at the start of July and we release our 5th Newsletter! Ranging from podcasts to tutorials, this Newsletter is made for practicioners!
This article describes how Ekimetrics helped major press publishers using Bayesian inference for sales prediction.
We are now at the start of May and we release our 4th Newsletter! Ranging from podcasts to tutorials, this Newsletter is made for practicioners!
Let's explore how we, at Ekimetrics, automate the deployment of our data apps on the cloud. This article will gather elements from our internal & external workshops presented at Datacraft and also the video presenting some docker best practices for industrialization.