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The Shift toward Intelligent Automation

DataRobot

As organizations start getting back to normal after the COVID-19 pandemic, AI and machine learning is top of mind for many of these leaders. Now this market is looking at embedding AI and machine learning together with automations to drive more end-to-end solutions and tackle those potential use cases that were once thought impossible.

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Using Graphs for Feature Engineering, Prompt Fine-Tuning for Generative AI, and Confident Data…

ODSC - Open Data Science

ODSC West Call for Volunteers October 30th to November 2nd Our Volunteer program is a great way to get involved in ODSC — one of the world’s largest conferences and communities of artificial intelligence and data science experts.

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Fine-Tuning LLMs, Anomaly Detection for CRM Data, and the History of Gaming and AI

ODSC - Open Data Science

Upcoming Webinars: Lightning Interview: “No-Code and Low-Code AI: The New Era of Inclusive Tech Development” Fri, Oct 20, 2023 1:00 PM EDT This live, virtual lightning interview, with Gwendolyn D.

AI 97
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The Prompt Optimization Stack, an Overview of LLMOps, and Using Synthetic Data for LLMs

ODSC - Open Data Science

How Machine Learning Can Be Used to Cut Energy Bills Here’s how machine learning and AI are making power cheaper for companies and consumers. Upcoming Webinars: Time Series Forecasting: ARIMA, Prophet, vs. Advanced Feature Engineering Thu, Oct 5, 2023 12:00 PM — 1:00 PM EDT Join dotData Sr.

Azure 52
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Making AI More Accessible With LLM Alignment, Prompt Engineering Skills, and a 2-for-1 ODSC West…

ODSC - Open Data Science

SuperDataScience Podcast The most listened-to podcast in the industry, SuperDataScience brings you the latest machine learning, artificial intelligence, and data career topics from across both academia and industry.

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How to build reusable data cleaning pipelines with scikit-learn

Snorkel AI

For example, your team could create a repository where data scientists, machine learning engineers, and other associates interested in data science work can share, contribute, and consume Python classes and functions within their model build process. Just to start off with a very high-level question. Good question.