phData

JULY 17, 2023

Discovery efforts fall into two categories: organizational discovery and use-case discovery. Common Use Cases for AI and ML Churn prediction in marketing and sales – prediction of which customers are most likely to churn (unsubscribe/cancel) based on historical data and customer attributes.

AI 98

AI AI ML ML 98

AWS Machine Learning Blog

SEPTEMBER 1, 2023

These teams are as follows: Advanced analytics team (data lake and data mesh) – Data engineers are responsible for preparing and ingesting data from multiple sources, building ETL (extract, transform, and load) pipelines to curate and catalog the data, and prepare the necessary historical data for the ML use cases.

AI 100

AI AI ML ML 100

Dataconomy

JUNE 9, 2023

If you’re creating historical fiction, for example, you shouldn’t choose a prompt that contains aliens or magic. Telephoto lenses excel in isolating subjects and compressing perspective, resulting in spectacular photographs with a narrow depth of field due to their long focal length.

AI 91

AI AI Artificial Intelligence Artificial Intelligence 91

Mlearning.ai

FEBRUARY 24, 2023

And the business question in this regard had to do with being able to predict the cucumber harvest based on historical production and environmental data. production_long%>% filter(category%in%c("gvg", "m2"))%>% ggplot(., production_long%>% filter(category%in%c("gvg"))%>% ggplot(.)+

ML 52

ML ML Data Wrangling Algorithm 52

AWS Machine Learning Blog

NOVEMBER 22, 2023

For example, during the project planning phase, you should invest in cloud financial management skills and tools, and align finance and tech teams to incorporate both business and technology perspectives. These will directly map to the structure of existing financial categories, such as business unit, budget, cost center, or department.

AWS 79

AWS ML ML Machine Learning 79

AWS Machine Learning Blog

FEBRUARY 5, 2024

HSR.health’s Zoonotic Disease Spillover Risk Index uses over 20 distinct geographic, social, and environmental factors historically known to affect the risk of human-wildlife interaction and therefore zoonotic disease spillover risk. Many of these factors can be mapped through a combination of satellite imagery and remote sensing.

ML 81

ML ML AWS Support Vector Machines 81

Snorkel AI

FEBRUARY 10, 2023

Hopefully it has the categories of risk that we’ve got. Now, Braden, you’ve come at similar sets of issues from the perspective of dialogue systems and chatbots, in particular. I’d say in general, historically there’s been more of a post-talk—let’s put on post-processors to catch these types of things.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Snorkel AI

FEBRUARY 10, 2023

Hopefully it has the categories of risk that we’ve got. Now, Braden, you’ve come at similar sets of issues from the perspective of dialogue systems and chatbots, in particular. I’d say in general, historically there’s been more of a post-talk—let’s put on post-processors to catch these types of things.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Mlearning.ai

FEBRUARY 10, 2024

The service has historical data indicating that 20% of all emails are spam. The issue of zero-frequency can arise when a category in the test data has not been seen in the training data, resulting in a probability of 0. The goal is to classify whether new borrowers will pay back their loans, based on historical data.

Algorithm 52

Algorithm Decision Trees Cross Validation Machine Learning 52

O'Reilly Media

NOVEMBER 28, 2023

From a programmer’s perspective, code generation is just another labor-saving tool that keeps them productive in a job that is constantly becoming more complex. The LLaMA-family models also fall into the “so-called open source” category that restricts what you can build. We’d like to see more companies test for fairness.

AI 108

AI AI Data Analysis Data Analysis 108

ML @ CMU

FEBRUARY 29, 2024

and Aditya from India both want to use Perspective API, but it works better for Carl than it does for Aditya. This is because toxicity researchers’ positionalities lead them to make design choices that make toxicity datasets, and thus Perspective API, to have positionalities that are Western-centric. Carl from the U.S.

Hypothesis Testing 175

Hypothesis Testing AI AI Machine Learning 175

Snorkel AI

SEPTEMBER 12, 2023

Historically, groups ranging from the Mayan people of the Yucutan Peninsula to World War II code breakers were all doing data science. It’s never just one individual, from a skillset perspective. Maybe certain categories of AI systems need to be held to higher standards than most other things. That’s okay.

Data Scientist 59

Data Scientist Data Science AI AI 59

Snorkel AI

SEPTEMBER 12, 2023

Historically, groups ranging from the Mayan people of the Yucutan Peninsula to World War II code breakers were all doing data science. It’s never just one individual, from a skillset perspective. Maybe certain categories of AI systems need to be held to higher standards than most other things. That’s okay.

Data Scientist 59

Data Scientist Data Science AI AI 59

Alation

AUGUST 26, 2021

By synthesizing multiple perspectives into a shared ‘bird’s-eye view’ it illuminates the system: the elephant in its entirety. from a compliance perspective? from a quality perspective? from a business perspective? This category synthesizes various metadata types to guide proper usage across all use cases.

Data Governance 64

Data Governance ML ML Artificial Intelligence 64

AWS Machine Learning Blog

AUGUST 7, 2023

The customer ask was to create an English language detector that classifies voice and text excerpts into their own custom defined toxic language categories. Before going into the AWS solution, the following section provides an overview into the history of LLMs and their historical use cases.

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AWS ML ML Data Science 74

Alation

OCTOBER 4, 2022

From a business perspective, insurers’ data management ensures data completeness and accuracy. In addition, insurers need to have fresh data, such as historical rates or claims experience. Consolidating this historical data into a single location becomes overwhelming without the right support in place.

Data Governance 52

Data Governance Analytics Analytics Machine Learning 52