Unite.AI

MARCH 18, 2024

We’re seeing great innovation with loan approvals and automating that process. This is huge for the industry because it makes the loan process much faster and smoother for customers and borrowers alike. It will allow us to create exceptional personalized experiences for our clients.

Automation 306

Automation AI Strategy Algorithm Robotics 306

IBM Journey to AI blog

OCTOBER 16, 2023

ML also helps drive personalized marketing initiatives by identifying the offerings that might meet a specific customer’s interests. Personal assistants and voice assistants It’s ML that powers the tasks done by virtual personal assistants or voice assistants, such as Amazon’s Alexa and Apple’s Siri.

Machine Learning 129

Machine Learning ML Algorithm Chatbots 129

Mlearning.ai

MAY 3, 2023

Recommender Systems: K-Means can be used to group similar items or products based on their features, allowing for personalized recommendations. Bias: Decision trees can be biased towards variables with more levels or categories, resulting in an uneven data split.

Machine Learning 52

Machine Learning Algorithm ML Data Science 52

AWS Machine Learning Blog

SEPTEMBER 14, 2023

Despite using Amazon Comprehend to filter out personal data that may be provided through user queries, there remains a possibility of unintentionally surfacing personal or sensitive information, depending on the ingested data. These data points are used to inform a decision based on the company’s internal loan policies.

Generative AI 94

Generative AI LLM Large Language Models Software Engineer 94

AWS Machine Learning Blog

DECEMBER 1, 2023

In this post, we demonstrate the power of building an end-to-end ML model with no code using SageMaker Canvas by showing you how to build a classification model for predicting if a customer will default on a loan. We use the cleaned dataset to create a classification model for predicting loan defaults.

Machine Learning 84

Machine Learning ML Categorization Data Quality 84

AI Impacts

DECEMBER 22, 2022

Halting categories of work until strong confidence in its safety is possible, e.g. as would occur if AI researchers agreed that certain systems posed catastrophic risks and should not be developed until they did not. Which would be pretty disappointing.

AI 130

AI AI AI Researcher AI Research 130

Mlearning.ai

MAY 23, 2023

There are majorly two categories of sampling techniques based on the usage of statistics, they are: Probability Sampling techniques: Clustered sampling, Simple random sampling, and Stratified sampling. Data is said to be highly imbalanced if it is distributed unequally across different categories.

Data Science 52

Data Science Neural Network Deep Learning Machine Learning 52