Top 7 libraries and packages of the year for Data Science and AI: Python & R

If you follow me, you know that this year I started a series called Weekly Digest for Data Science and AI: Python & R, where I highlighted the best libraries, repos, packages, and tools that help us be better data scientists for all kinds of tasks. The great folks at Heartbeat sponsored a lot of these digests, and they asked me to create a list of the best of the best--those libraries that really changed or improved the way we worked this year (and beyond). AdaNet is a lightweight and scalable TensorFlow AutoML framework for training and deploying adaptive neural networks using the AdaNet algorithm [Cortes et al. AdaNet combines several learned subnetworks in order to mitigate the complexity inherent in designing effective neural networks. This package will help you selecting optimal neural network architectures, implementing an adaptive algorithm for learning a neural architecture as an ensemble of subnetworks.