IBM Big Data Hub

JULY 6, 2023

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. ” “Data science” was first used as an independent discipline in 2001. Deep learning algorithms are neural networks modeled after the human brain.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

Ontotext

JULY 29, 2021

One of its pillars are ontologies that represent explicit formal conceptual models, used to describe semantically both unstructured content and databases. And while not all knowledge graphs (see Adoption of Knowledge Graphs, late 2019 ) are built the semantic modelling way , they all have benefited from the Semantic Web.

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

The Unofficial Google Data Science Blog

JUNE 30, 2016

It should be noted that inverse probability weighting is not generally optimal (i.e., We do this by describing the methods in terms of loss functions whose expectation is optimized at the true value of the propensity score. In the presence of model misspecification, the estimator $hatpsi$ is inconsistent.

Statistics 44

Statistics Optimization Modeling Experimentation 44

Occam's Razor

APRIL 25, 2011

This latter category contains things that are so obviously sub-optimal that no one should be doing them any more. The issues of course include people and jaded mental models and bureaucracy and a lack of time and the missing desire to be great and org structures, and bosses. Not having a vibrant, engaging, non-pimpy blog.

Marketing 126

Marketing Measurement Metrics Testing 126

The Unofficial Google Data Science Blog

AUGUST 27, 2019

This problem can be phrased as an optimization problem — given some fixed review capacity how should we sample videos? To obtain a relative error of no more than 20%, we need roughly 100 positive labels, and more often than not, we have zero violation videos in the uniform samples for rarer policies. as estimated from the data.

Metrics 98

Metrics Statistics Uncertainty Optimization 98

Domino Data Lab

JULY 22, 2019

This blog post provides a concise session summary, a video, and a written transcript. how “the business executives who are seeing the value of data science and being model-informed, they are the ones who are doubling down on their bets now, and they’re investing a lot more money.” Session Summary. Transcript.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

IBM Big Data Hub

JUNE 28, 2023

We are at an inflection point, where we have witnessed 100,000-fold reduction in cost since the human genome was first sequenced in 2001. clinical) using a range of machine learning models. Today, the rate of data volume increase is similar to the rate of decrease in sequencing cost. What is Amazon Omics?

Informatics 63

Informatics Consulting Cost-Benefit Data Architecture 63