CIO Business Intelligence

JANUARY 17, 2024

Following this, in 2002, it began delivering its knowledge to customers in online format, using dashboards and interactive reports that provided easier and faster access to data and analysis. Artificial Intelligence, CIO, Cloud Computing, Cloud Management, Digital Transformation, IT Leadership, Machine Learning, Microsoft Azure

Digital Transformation 115

Digital Transformation Dashboards Reporting Data Science 115

Cloudera

AUGUST 8, 2022

The general availability covers Iceberg running within some of the key data services in CDP, including Cloudera Data Warehouse ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). Exploratory data science and visualization: Access Iceberg tables through auto-discovered CDW connection in CML projects.

Snapshot 94

Snapshot Data Warehouse Machine Learning Cost-Benefit 94

Domino Data Lab

JUNE 8, 2021

Support Vector Machines (SVMs) are supervised learning models with a wide range of applications in text classification (Joachims, 1998), image recognition (Decoste and Schölkopf, 2002), image segmentation (Barghout, 2015), anomaly detection (Schölkopf et al., Training invariant support vector machines. 1999) and more.

Optimization 76

Optimization Machine Learning Measurement Data Science 76

Domino Data Lab

JANUARY 6, 2019

Different formats for learning materials, different approaches to curriculum (e.g., Case in point: circa 2002 I was teaching network security in a continuing education program. I can plot a line from high school “Algebra II” to the math needed for machine learning.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Domino Data Lab

MAY 20, 2021

Machine Learning algorithms often need to handle highly-imbalanced datasets. In their 2002 paper Chawla et al. Figure 3 shows visual explanation of how SMOTE generates synthetic observations in this case. 2002) have performed a comprehensive evaluation of the impact of SMOTE- based up-sampling. Chawla et al.,

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

Domino Data Lab

JUNE 2, 2019

Secondly, I talked backstage with Michelle, who got into the field by working on machine learning projects, though recently she led data infrastructure supporting data science teams. Just doing machine learning is not enough, and sometimes not even necessary.”. First off, her slides are fantastic! Nick Elprin.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

BizAcuity

MAY 10, 2022

2002: Microsoft launches the.NET initiative. Microsoft also releases Power BI, a data visualization and business intelligence tool. Microsoft launches Azure ML Studio for machine learning capabilities on the cloud. AWS rolls out SageMaker, designed to build, train, test and deploy machine learning (ML) models.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52