Repository with notes on variety of ML talks
- Building Recommender Systems Using Python: Talk by Divya Sharma introducting different types of recommendar systems.Code
- Data Engineering and Data Science: Bridging the Gap | DataEDGE 2016: Talk by Josh Wills, Head of Data Engineering at Slack about how to bridge the gap between data science and data engineering
- Deploying a Machine Learning Model : This covers all the practical aspects of deploying machine learning model
- Intro to Neo4j: What is Neo4J and how it helps us
- Scaling Knowledge: A Look at Airbnb Data Science Team : Martin Daniel, Data Scientist at Airbnb discussed Airbnb's emphasis on (i) Analysis (ii) Experimentation (iii) Data Products
- Why we built ElasticSearch : Talk by the creator of ElasticSearch on how it is more scalable
- Migrating from Redshift to Spark