O'Reilly on Data

SEPTEMBER 19, 2023

” Each step has been a twist on “what if we could write code to interact with a tamper-resistant ledger in real-time?” While data scientists were no longer handling Hadoop-sized workloads, they were trying to build predictive models on a different kind of “large” dataset: so-called “unstructured data.”

Machine Learning 247

Machine Learning Testing Modeling Cost-Benefit 247

Data Science and Beyond

JULY 22, 2018

Kaggle was only about predictive modelling competitions back then, and so I believed that data science is about using machine learning to build models and deploy them as part of various applications. No one is born an expert – expertise is gained by learning from and interacting with the world.

Data Science 79

Data Science Machine Learning Statistics Predictive Modeling 79

Domino Data Lab

SEPTEMBER 18, 2019

This post covers data exploration using machine learning and interactive plotting. Models are at the heart of data science. Data exploration is vital to model development and is particularly important at the start of any data science project. Interactive Data Visualization in Python. Introduction. fill=True,).:

Visualization 99

Visualization Interactive Machine Learning Data Science 99

Occam's Razor

NOVEMBER 18, 2014

Short story #2: Predictive Modeling, Quantifying Cost of Inaction. You get a confusing little thing, but the visualization is interactive. The Treemap, Sunburst and Packedcircle demonstrate three possible paths you can take to go from a table to something much more understandable and much more interactive.

Visualization 143

Visualization Slice and Dice Predictive Modeling Metrics 143

Domino Data Lab

AUGUST 22, 2019

GloVe and word2vec differ in their underlying methodology: word2vec uses predictive models, while GloVe is count based. Instead, we recommend using the bokeh library to create a highly interactive—and actionable—plot, as with the code provided in Example 11.11. Interactive bokeh plot of two-dimensional word-vector data.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111