Unite.AI

JUNE 24, 2024

This is not ideal because data distribution is prone to change in the real world which results in degradation in the model’s predictive power, this is what you call data drift. There is only one way to identify the data drift, by continuously monitoring your models in production.

Data Drift 124

Data Drift Machine Learning Data Scientist ML 124

AWS Machine Learning Blog

MARCH 1, 2023

Challenges In this section, we discuss challenges around various data sources, data drift caused by internal or external events, and solution reusability. For example, Amazon Forecast supports related time series data like weather, prices, economic indicators, or promotions to reflect internal and external related events.

Automation 101

Automation ETL Data Drift ML 101

The MLOps Blog

JUNE 27, 2023

With Azure Machine Learning, data scientists can leverage pre-built models, automate machine learning tasks, and seamlessly integrate with other Azure services, making it an efficient and scalable solution for machine learning projects in the cloud. Might be useful Unlike manual, homegrown, or open-source solutions, neptune.ai

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

ODSC - Open Data Science

OCTOBER 11, 2023

Be sure to check out his talk, “ How to Practice Data-Centric AI and Have AI Improve its Own Dataset ,” there! Machine learning models are only as good as the data they are trained on. Even with the most advanced neural network architectures, if the training data is flawed, the model will suffer.

Auto-classification 52

Auto-classification Auto-complete Data Drift Machine Learning 52

DataRobot Blog

MARCH 10, 2022

With, now, native Python support delivered through Snowpark for Python, developers can leverage the vibrant collection of open-source data science and machine learning packages that have become household names, even at leading AI/ML enterprises. Consuming AI/ML Insights for Faster Decision Making.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Automation Auto-classification 52

The MLOps Blog

MARCH 12, 2024

Tools range from data platforms to vector databases, embedding providers, fine-tuning platforms, prompt engineering, evaluation tools, orchestration frameworks, observability platforms, and LLM API gateways. LLMOps is key to turning LLMs into scalable, production-ready AI tools.

Prompt Engineering 52

Prompt Engineering Prompt Engineer Large Language Models LLM 52

Topbots

JUNE 29, 2023

The article is structured according to the following “mental model” of the main elements to consider when planning and building an AI feature: Figure 2: Mental model of an AI feature Let’s start with the end in mind and recap the value — why you would build a Text2SQL feature into your data or analytics product.

Algorithm 52

Algorithm Auto-complete Data Scientist Auto-classification 52