Now that we have Docker containers, let’s deploy them together with Docker Compose. Also covered: security with Docker secrets, data persistence with Docker volumes and dependency ordering.
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Building a translation app by putting together 3 containerized microservices: a Flask frontend, a FastAPI backend and a MySQL database. Let’s skim through the development process and the containerization. Also covered: Docker registry and CI/CD with GitHub Actions.
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Let’s build a data stream with Kafka today! We will retrieve air quality data using the World Air Quality Index project’s API, then push it on a Kafka cluster.
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Zero-shot classification is basically text classification with no training at all. How does it compare with transfer learning/fine-tuning? We’ll see using the beloved 🤗 transformers library.
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In this post, we predict health insurance costs with an efficient black box model, namely random forest. Then we interpret individual predictions as well as the global behavior of the estimator using SHapley Additive exPlanations.
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Computer vision is one of the most fascinating domains in Machine Learning. Libraries like PyTorch and more recently, fastai, have made these kinds of models extraordinarily accessible. In this post, we build an aircraft classifier from gathering data to training and deployment.
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