Data Science Digest (October 2019)

Welcome all!

Meet the latest issue of the digest with a selection of interesting and useful materials under the cut.

Articles

• The heading "Read articles for you." July - September 2019 - reviews of scientific articles from members of the Open Data Science community from the channel #article_essense. If you want to receive them before everyone else - join the community !
• How to Learn Data Science for Free is a good article that describes how to learn Data Science, including resources.
• The State of Machine Learning Frameworks in 2019 - analysis of preferred frameworks in the industry: what they choose and where everything is moving.
• Google ML / AI Comic - a fun comic strip from Google.
• Naive Bayes Classifier From Scratch in Python - article on the algorithm of the "naive" Bayesian classifier, how it works and how to implement it from scratch in Python.
• Develop k-Nearest Neighbors in Python From Scratch - article on the k-nearest neighbors algorithm: how it works and how to implement it from scratch in Python.
• MLOps Tooling - A small overview of several tools (Kubeflow, MLFlow, SageMaker, Dask and Rapids) for creating and managing machine learning models.
• Turn Python Scripts into Beautiful ML Tools - article about the new Streamlit framework for quickly creating custom ML applications.
• Overview of feature selection methods - a review of existing feature selection methods for teaching tasks with and without a teacher.
• TensorFlow 2.0 + Keras Overview for Deep Learning Researchers is an excellent notebook to start learning TensorFlow 2.0 + Keras with many examples.
• Learning a unified embedding for visual search at Pinterest - article about how Pinterest visual search works.
• Applying deep learning to Airbnb search - An article about what happened at Airbnb when they switched from standard machine learning approaches to deep learning.
• Intelligent Scanning Using Deep Learning for MRI - An article about how GE uses TensorFlow to determine specific anatomy during an MPT brain scan to improve speed and consistency.
• Using Deep Learning to Inform Differential Diagnoses of Skin Diseases - an article about a system that can distinguish between 26 skin diseases.
• A large collection of good Data Science materials .

Projects

• sotabench is a new project from Papers With Code that makes comparisons of various Open Source models.
• Polynote - a new notebook from Netflix guys for Scala / Spark / Python ...

Video

• In early September, in Odessa, we held Data Fest Odessa . Video reports are already available on the YouTube channel .
• Video reports from the PyTorch Developer Conference 2019 .
• Video reports from the MLOps NYC19 Conference .

Conferences and meetings

• November 7, Ivano-Frankivsk - When Data Meets Engineering - I invite everyone to our first date-meeting in Ivano-Frankivsk. I will be glad to meet everyone.
• October 31, Kiev - Kyiv AI 6.0: Leading business on ML technologies .
• November 9, Kiev - Computer VISIONers Conference .

Podcasts

• Lex Fridman AI Podcast
• O'Reilly Data Show Podcast
• The TWIML AI Podcast

Since September, I have been head of the R&D department at VITech , where we create ML-based products for healthcare and other industries. Now I'm in my team in Odessa looking for ML Researcher. For all questions, write to me in PM.

Thank you for reading this issue. I hope everyone found something useful for themselves. I would be grateful for any suggestions for the next digest.

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