CIO Business Intelligence

JANUARY 19, 2024

The exam tests general knowledge of the platform and applies to multiple roles, including administrator, developer, data analyst, data engineer, data scientist, and system architect. Candidates for the exam are tested on ML, AI solutions, NLP, computer vision, and predictive analytics.

Data Science 126

Data Science Machine Learning Predictive Modeling Experimentation 126

CIO Business Intelligence

JUNE 14, 2023

Organization: AWS Price: US$300 How to prepare: Amazon offers free exam guides, sample questions, practice tests, and digital training. The exam tests general knowledge of the platform and applies to multiple roles, including administrator, developer, data analyst, data engineer, data scientist, and system architect.

Big Data 125

Big Data Data Analytics Analytics Predictive Modeling 125

CIO Business Intelligence

OCTOBER 5, 2023

Sandeep Davé knows the value of experimentation as well as anyone. As chief digital and technology officer at CBRE, Davé recognized early that the commercial real estate industry was ripe for AI and machine learning enhancements, and he and his team have tested countless use cases across the enterprise ever since.

Experimentation 120

Experimentation Strategy Machine Learning Interactive 120

Occam's Razor

NOVEMBER 17, 2008

There is a tendency to think experimentation and testing is optional. You can start for free with a superb tool: Google's Website Optimizer. For example I am quite fond of the fact that with Offermatica you can "trigger" tests based on behavior. I cannot recommend enough the wisdom of starting with a A/B test.

Testing 112

Testing Experimentation Risk Optimization 112

O'Reilly on Data

SEPTEMBER 15, 2020

Likewise, AI doesn’t inherently optimize supply chains, detect diseases, drive cars, augment human intelligence, or tailor promotions to different market segments. Results are typically achieved through a scientific process of discovery, exploration, and experimentation, and these processes are not always predictable.

Cost-Benefit 293

Cost-Benefit Advertising ROI Machine Learning 293

DataRobot Blog

JANUARY 10, 2023

ML model builders spend a ton of time running multiple experiments in a data science notebook environment before moving the well-tested and robust models from those experiments to a secure, production-grade environment for general consumption. Capabilities Beyond Classic Jupyter for End-to-end Experimentation.

Experimentation 52

Experimentation Machine Learning Data Science Modeling 52

Cloudera

FEBRUARY 16, 2022

They define each stage from data ingest, feature engineering, model building, testing, deployment and validation. Each time a project is successfully deployed, the trained model is recorded within the Models section of the Projects page. This might require making batch and individual predictions.

Machine Learning 81

Machine Learning Modeling Metadata Recreation/Entertainment 81