Tag: Life Cycle (2)
- Manage your Machine Learning Lifecycle with MLflow – Part 1 - Jul 5, 2018.
Reproducibility, good management and tracking experiments is necessary for making easy to test other’s work and analysis. In this first part we will start learning with simple examples how to record and query experiments, packaging Machine Learning models so they can be reproducible and ran on any platform using MLflow. - KDnuggets Exclusive: Interview with Geoffrey Moore: Crossing the Chasm and Big Data - Mar 14, 2014.
KDnuggets talks with a noted author Geoffrey Moore about his "Crossing the Chasm" book, his vision for Big Data analytics, when Big Data will cross the chasm, and advice for entrepreneurs.
Learn How to Listen: One of the hardest parts of being a data scientist
An Introduction to Scikit Learn: The Gold Standard of Python Machine Learning