Data Science Digest

2021-06-20 10:00:04 Deep Learning Do It Yourself!

The website is a collection of more than 20 modules on learning deep learning. As a student, you can walk through the modules at your own pace and interact with others. You can also contribute to the materials by adding new modules yourself.

https://bit.ly/3vMub0l

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2021-06-19 10:00:05 Conversational AI

In this video, Merve Noyan, Google Developer Expert on Machine Learning, gives an overview of the conversational AI niche. The talk is hosted by Alexey Grigorev, the founder of DataTalks.Club.

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2021-06-18 17:00:07 #DataScienceMemes Open / Comment

2021-06-18 11:11:25 Mathematics for Machine Learning

«Mathematics for Machine Learning» by Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong brings the mathematical foundations of basic ML concepts to all those who struggle with the mathematical knowledge required to read an ML textbook. This book is intended to be a guidebook to the vast mathematical literature that forms the foundations of modern machine learning.

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2021-06-17 12:41:10 DataScience Digest pinned «​​Data Science Digest — 17.06.21 The new issue of DataScienceDigest is here! Facebook AI migrates its systems to PyTorch, metric learning tips & tricks, session-based recommender systems, AndroidEnv, materials from PyCon US 2021, and more… https://bit.ly/3vshrMs…» Open / Comment

2021-06-17 11:51:14 ​​Data Science Digest — 17.06.21

The new issue of DataScienceDigest is here! Facebook AI migrates its systems to PyTorch, metric learning tips & tricks, session-based recommender systems, AndroidEnv, materials from PyCon US 2021, and more…

https://bit.ly/3vshrMs

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2021-06-16 10:16:50 Dynamically Generating DAGs in Airflow

In this guide, the Astronomer team looks into specific methods of dynamically generating DAGs in Airflow, from single-file methods to multiple-file methods. Every method is accompanied by code and examples. The team also presents DAG Factory, an open source Python library for dynamically generating Airflow DAGs from YAML files.

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2021-06-15 09:00:09 Session-based Recommender Systems

In this extensive research report by Cloudera Fast Forward, you’ll learn all the ins and outs of designing, building, and managing AI/ML-powered recommender systems. The authors will demonstrate how to use specific algorithms and datasets to arrive at conclusions about the do’s and don’ts of building such systems (e.g. while using word2vec).

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2021-06-14 09:00:12 PyCon US 2021 [Conference Materials]

This playlist features all keynotes, talks, and other materials from PyCon US 2021, a virtual conference for the community using and developing the open-source Python programming language. Over 80 videos in total!

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2021-06-13 09:00:05 Building Scalable Machine Learning Pipelines for Multimodal Health Data on AWS

Machine learning is used extensively in the healthcare and life sciences industries. Among many approaches and methods to increase the accuracy and efficiency of ML models, Multimodal ML stands out as one of the most promising. In this article, you’ll learn how to build a scalable, cloud architecture for Multimodal ML on health data.

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