Machine Learning

Curated Learning Resources

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  Transforming Financial Forecasting with Data Science and Machine Learning at Uber

  Chunyan Song, Software Architect, Uber

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  Automated Machine Learning — A Paradigm Shift That Accelerates Data Scientist Productivity

  Hamel Husain, Senior Machine Learning Scientist, Airbnb

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  Is Machine Learning Hard? Not Always

  Ben McRedmond, Senior Director of Growth, Intercom

  Ben discusses the misconception that machine learning is difficult and requires advanced mathematical skills. He argues that the fundamental ideas behind machine learning are relatively straightforward and can be applied to a variety of problems. He provides an example of how machine learning can be used to generate a "You might also like" section for a blog post, and compares the results of using a basic machine learning approach (using the K-Means algorithm) versus a non-machine learning approach. The article is written clearly and concisely, making it easy to understand for readers with little to no background in machine learning.

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  Getting Better at Machine Learning

  Robert Chang, Data Scientist, Airbnb

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  What Do Machine Learning Practitioners Actually Do?

  Rachel Thomas, Founder + Researcher, fast.ai

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  Overview of the different approaches to putting Machine Learning (ML) models in production

  Julien Kervizic, Senior Enterprise Data Architect, GrandVision

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  Rules of Machine Learning: Best Practices for ML Engineering

  Martin Zinkevich, Research Scientist, Google

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