A weekly list of interesting reads and resources.
AI / Machine Learning
- MachineLearningMastery.com – A Google rabbit hole led me to this great resource. Dr. Jason Brownlee has written several books for those interested in machine learning. The books are all practical and project-based, with topics like Code Machine Learning Algorithms and Introduction to Time Series Forecasting with Python.Brownlee also has a great getting started guide outlining the steps you should take for learning. This allows you to see where you fit in the learning sequence, identify gaps, and plan next steps for your machine learning journey.
- How to make your machine learning model available as an API – Expose existing R code via a webservice API using the plumber library.
- Top 50 Developer Tools of 2017 – A categorized list of popular developer tools, each with a good summary.