Getting labeled training data has become the key development bottleneck in supervised machine learning. We provide a broad, high-level overview of recent weak supervision approaches, where noisier or higher-level supervision is used as a more expedient an... (more…)

Practical machine learning has a distinct cyclical nature that demands constant iteration, tuning, and improvement. We aim to showcase its beauty.

Lessons from Large-Scale Machine Learning Deployments on Apache Spark.

Through the rest of the article, we’ll review some of the most popular books for data science and machine learning for various levels of expertise and understanding, both on technical topics as well as non technical ones. The books below are listed in no ... (more…)

Everyone is talking about artificial intelligence (AI) and machine learning these days. This is not just of strategic relevance for companies the likes of Google, Apple, Amazon, Facebook or Salesforce.com. AI is now a term that all companies should be fam...