Occam's Razor

FEBRUARY 11, 2008

I have a lot on my mind but there was one thing in particular that I wanted to share with you all: What it is has been like working at Google. I went into Google with my own filters and expectations on what the experience would be like and what I would end up doing. 3: Doing Good: Green & org. #

Consulting 139

Consulting Visualization Recreation/Entertainment IT 139

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. If you are interested in additional insights, register for the upcoming Ray Summit. If your team has started using ? and you’re wondering what it is, this post is for you.

Experimentation 137

Experimentation Modeling Data Science Management 137

Domino Data Lab

APRIL 6, 2021

Why Do We Need Ray? Several years ago, artificial intelligence researchers at the University of California, Berkeley, needed an easy way to do this for the algorithms they were researching and developing. They were expert Python programmers, but they didn’t want to spend lots of time and energy using most toolkits available.

Data Science 81

Data Science Optimization Machine Learning Modeling 81

Domino Data Lab

AUGUST 29, 2019

It also covers using Keras to construct a deep Q-learning network that learns within a simulated video game environment. From games to simulating evolution, reinforcement learning has been used as a tool to explore emergent behavior. Using Keras and OpenAI Gym to create a deep learning model and provide the environment to train.

Optimization 111

Optimization Modeling Deep Learning Metrics 111

Domino Data Lab

FEBRUARY 4, 2019

This month, let’s explore two themes in detail: take an in-depth look at Rev 2 and exploring how curiosity plays a vital, and perhaps non-intuitive, role in data science work. We’ll unpack curiosity as a core attribute of effective data science, look at how that informs process for data science (in contrast to Agile, etc.),

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Domino Data Lab

AUGUST 26, 2019

This article provides an excerpt of “Tuning Hyperparameters and Pipelines” from the book, Machine Learning with Python for Everyone by Mark E. Data scientists and researchers ascertain predictive accuracy of models using different techniques, methodologies, and settings, including model parameters and hyperparameters. Introduction.

Testing 79

Testing Modeling Machine Learning Metrics 79

Domino Data Lab

AUGUST 20, 2019

Many thanks to AWP Pearson for the permission to excerpt “Manual Feature Engineering: Manipulating Data for Fun and Profit” from the book, Machine Learning with Python for Everyone by Mark E. Feature engineering is useful for data scientists when assessing tradeoff decisions regarding the impact of their ML models.

Testing 68

Testing Modeling Interactive Measurement 68

CIO Business Intelligence

FEBRUARY 3, 2023

What is RPA? Using RPA tools, a company can configure software, or a “robot,” to capture and interpret applications for processing a transaction, manipulating data, triggering responses, and communicating with other digital systems. Sometimes code must be written to handle what can’t be achieved by a preconfigured bot.

Data-driven 145

Data-driven Interactive Enterprise Statistics 145