Hyperparameter Optimization with Comet.ml

Data science workflow management tool & collaboration hub

Reader level: Introductory Introduction to Comet.ml Comet.ml is an API-driven framework for workflow management in Machine learning and Data Science experiments. Comet’s hyperparameter optimization is roughly based on the Advisor hyperparameter black box optimization tool. It allows you to add API calls from your code to perform optimization on a selected set of hyperparameters using Comet’s cloud service. This requires that you install the comet python package ‘comet_ml’. [Read More]

Data Science with Neptune.ml

Data science workflow management tool & collaboration hub

Reader level: Introductory Table of Contents 1. Introduction 2. Overview of Neptune UI 3. How I used Neptune in my Keras ML project 4. What I have not covered Introduction Neptune.ml is a workflow management and collaboration tool for Data Science and Machine Learning (DS/ML). I have had the pleasure of testing this platform out for my own work and I must admit that I am convinced that every Data Science team needs something like this. [Read More]