CIO Business Intelligence

APRIL 12, 2024

It can be useful for an array of AI-related tasks, including deep learning research, computer vision, natural language processing (NLP), model development, and model deployment. Torch enables fast and efficient GPU support, focusing on improving flexibility and speed when building complex algorithms.

Deep Learning 124

Deep Learning IT Machine Learning IoT 124

Domino Data Lab

APRIL 3, 2019

Instead, we must build robust ML models which take into account inherent limitations in our data and embrace the responsibility for the outcomes. As the story goes, the general history of DG is punctuated by four eras: “Application Era” (1960–1990) – some data modeling, ?though There are models everywhere.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

The Unofficial Google Data Science Blog

APRIL 23, 2024

Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well. That is true generally, not just in these experiments — spreading measurements out is generally better, if the straight-line model is a priori correct.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

AWS Big Data

JUNE 30, 2023

Position 2 was established in 2006 in Silicon Valley and has a clientele spanning American Express, Lenovo, Fujitsu, and Thales. Pay as you go model – Consumption-based pricing ensured flexibility for our customers and us by allowing us to innovate with no monetary risks.

Marketing 52

Marketing Dashboards Advertising ROI 52

Occam's Razor

OCTOBER 16, 2007

I had first written about the wonders of site search analysis in a June 2006 post: Are You Into Internal Site Search Analysis? Even if you are not using Google Analytics you should be able to do all this with Omniture or Visual Sciences or HBX or WebTrends or CoreMetrics etc etc etc. You Should Be. Both super features.

Analytics 101

Analytics Metrics Measurement Reporting 101

BizAcuity

MAY 10, 2022

2006: Amazon spearheads the cloud initiative, drops EC2 and S3 into the market. Amazon strategically went with the pricing model of ‘on-demand’, allowing developers to pay only as-per their computational needs. Hadoop was developed in 2006. Microsoft also releases Power BI, a data visualization and business intelligence tool.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

The Unofficial Google Data Science Blog

MARCH 31, 2016

KUEHNEL, and ALI NASIRI AMINI In this post, we give a brief introduction to random effects models, and discuss some of their uses. Through simulation we illustrate issues with model fitting techniques that depend on matrix factorization. Random effects models are a useful tool for both exploratory analyses and prediction problems.

Modeling 40

Modeling Statistics Advertising Testing 40