Domino Data Lab

APRIL 3, 2019

The top three items are essentially “the devil you know” for firms which want to invest in data science: data platform, integration, data prep. Data governance shows up as the fourth-most-popular kind of solution that enterprise teams were adopting or evaluating during 2019. Rinse, lather, repeat.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

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. Introduction. Chapter Introduction: Real Estate.

Visualization 99

Visualization Interactive Machine Learning Data Science 99

Timo Elliott

JANUARY 10, 2022

Data was mentioned in almost every episode — for example, you talked about how automation is helping Maple Leaf Foods save time and money. They are applying machine learning to create more intelligent trade claims management. Live and learn. I’ve been talking about them for a long time. Great, I loved as well.

Data Processing 121

Data Processing Manufacturing Machine Learning Technology 121

Edwin Chen

SEPTEMBER 29, 2011

Data Science 0.328. Classification (machine learning) 0.322. Inception (2010 movie) 0.535. The Social Network (2010 movie) 0.513. Machine Learning 0.326. Startups in New York City 0.333. Book Recommendations 0.33. Engineering Recruiting 0.33. Search Engines 0.329. Social Search 0.329.

Finance 81

Finance Interactive Machine Learning Advertising 81

O'Reilly on Data

SEPTEMBER 19, 2023

But the grouping and summarizing just wasn’t exciting enough for the data addicts. They’d grown tired of learning what is; now they wanted to know what’s next. Stage 2: Machine learning models Hadoop could kind of do ML, thanks to third-party tools. Those algorithms packaged with scikit-learn?

Machine Learning 246

Machine Learning Testing Modeling Cost-Benefit 246

Domino Data Lab

DECEMBER 2, 2020

DBSCAN is implemented in the popular Python machine learning library Scikit-Learn , and because this implementation is scalable and well-tested, I will be using it to demonstrate how DBSCAN works in practice. In machine learning, one of the most basic classification algorithms is k-Nearest Neighbors (k-NN) classification.

Metrics 116

Metrics KDD Testing Machine Learning 116

The Unofficial Google Data Science Blog

AUGUST 27, 2019

A machine learning classifier serves this task perfectly. Statistical Science. Statistics in Biopharmaceutical Research, 2010. [4] Formally, let $S(v)$ be the real-valued classifier score for video $v$ (if the score is categorical, we assume it has some number of distinct levels). 16 (2): 101–133. [3]

Metrics 98

Metrics Statistics Uncertainty Optimization 98

Cloudera

APRIL 21, 2022

(Remember, a pedabyte of data is roughly equivalent to 500 billion pages of standard printed text) A solution was needed to backstop those never-ending streams of data into a single, universally available platform, using advanced analytics powered by machine learning optimized for a cloud service.

Metadata 89

Metadata Informatics Insurance Data Processing 89