Domino Data Lab

FEBRUARY 12, 2020

Dean Wampler provides a distilled overview of Ray, an open source system for scaling Python systems from single machines to large clusters. Introduction. If you’re wondering if Ray should be part of your technical strategy for Python-based applications, especially ML and AI, this post is for you. The Gist of Ray.

Experimentation 137

Experimentation Modeling Data Science Management 137

Domino Data Lab

APRIL 6, 2021

Training machine learning models, especially neural networks, is compute-intensive. They were expert Python programmers, but they didn’t want to spend lots of time and energy using most toolkits available. Then I’ll briefly mention several higher-level toolkits for machine learning that leverage Ray. Why Do We Need Ray?

Data Science 81

Data Science Machine Learning Optimization Modeling 81

Domino Data Lab

JANUARY 6, 2019

In Paco Nathan ‘s latest column, he explores the theme of “learning data science” by diving into education programs, learning materials, educational approaches, as well as perceptions about education. Introduction. This month, let’s explore learning data science. Learning Data Science.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Domino Data Lab

FEBRUARY 4, 2019

Introduction. Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. Welcome back to our monthly series about data science. Modernists and structuralists beware. I got this.”.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66