Data Science Digest

2021-05-28 23:31:06 DataScience Digest pinned a photo Open / Comment

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2021-05-28 10:53:36 Lessons on ML Platforms — From Netflix, DoorDash, Spotify, and More

In this article, the author draws from the experience of AI industry leaders to answer the ubiquitous question, How can organizations enable data scientists to repeatedly deliver value, out of scope of the existing ML production systems? Here he also looks into best practices, tools, and management approaches to resolve the value delivery problem.

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2021-05-27 21:33:05 Easy MLOps with PyCaret + MLflow

PyCaret is an open-source, low-code library for machine learning. Built on Python, it’s simple and easy to use, and allows you to quickly and efficiently handle ML models. MLflow is an open-source platform to manage the ML lifecycle. In this article, you’ll learn how to integrate MLOps in your ML experiments using PyCaret and MLflow.

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2021-05-26 21:31:36 ​​Data Science Digest — 26.05.21

The new issue of DataScienceDigest is here! Hop to learn about the latest news, articles, tutorials, research papers, event materials, and projects on DataScience, AI, ML, and BigData. All sections are prioritized for your convenience. Enjoy!

https://bit.ly/3hW5agi

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2021-05-25 10:00:13 Deep Multi-agent Reinforcement Learning for Highway On-Ramp Merging in Mixed Traffic

In this paper, Dong Chen et al. formulate the mixed-traffic highway on-ramp merging problem as a multi-agent reinforcement learning (MARL) problem. They propose an efficient MARL framework that can be used in dynamic traffic. A novel safety supervisor is developed to significantly reduce collision rate and greatly expedite the training process.

Paper — https://bit.ly/2QSyPvE
Code — https://bit.ly/34lLJoN
Code — https://bit.ly/2SnRiRd Open / Comment

2021-05-24 09:30:12 NVIDIA Deepstream Quickstart

NVIDIA has been working hard to improve their deep learning stack. In this article, you’ll learn how to give it a try in a controlled environment. Specifically, you’ll set up a docker container to run an NVIDIA deepstream pipeline on a GPU or a Jetson. The article can serve as a point of reference for beginners looking to make pipelines with NVIDIA.

https://bit.ly/3hO6DFl

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2021-05-23 10:30:07 Time Series Anomaly Detection with PyCaret

In this step-by-step, beginner-friendly tutorial, you’ll learn how you can use PyCaret’s Unsupervised Anomaly Detection Module to detect anomalies in time series data. We’ll start with the basics of anomaly detection and move forward to training and evaluating the anomaly detection model using PyCaret, to labeling anomalies and analyzing the results.

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2021-05-22 17:30:08 DataScience Digest is up and running thanks to the awesome community, you guys. Your interest, your feedback, and your donations keep us going. Kindly support us on Patreon to get more news and updates on what’s going on in the world of Data Science.

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2021-05-22 10:30:08 PyCaret 101 — For Beginners

PyCaret is an open-source ML library and end-to-end model management tool for ML workflows automation. It can replace voluminous code with just a few lines, which only adds to its ease of use, simplicity, and ability to quickly and efficiently build and deploy end-to-end machine learning pipelines. In this article, you’ll learn how to get started with PyCaret.

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