At Alpine, we’re not only passionate about creating great products, but we’re also invested in sharing the lessons we learn along the way with the broader big data community. A few weeks ago, our Director of Engineering, Chester Chen, published a brief detailing some notes on upgrading to Spark 1.5.1. We had such a great response, that we decided to continue publishing these briefs on topics like Spark, Machine Learning, and Visualization. Our next brief is by one of our machine learning engineers, Sung Chung, and it breaks down common prediction errors in machine learning. Take a read, and let us know what you think!
You can download the brief here.