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

ODSC - Open Data Science

Using Graphs for Feature Engineering, Prompt Fine-Tuning for Generative AI, and Confident Data Science GraphReduce: Using Graphs for Feature Engineering Abstractions This tutorial demonstrates an example feature engineering process on an e-commerce schema and how GraphReduce deals with the complexity of feature engineering on the relational schema.

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

ODSC - Open Data Science

Grab one for access to Keynote Talks, Demo Talks, the AI Expo and Demo Hall, and Extra Events. Industry, Opinion, Career Advice The Tradeoff Between Complexity and Ground Truth in AI: What You Need to Know Here, we focus on ground truth in AI and what stakeholders need to know to be effective partners with data science teams.

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Real-Time ML with Spark and SBERT, AI Coding Assistants, Data Lake Vendors, and ODSC East…

ODSC - Open Data Science

Whether you’re a seasoned data scientist, engineer, or just getting your feet wet in the data science field, let’s take a look at how coding assistants can help data process regardless of their skill level. Well, these libraries will give you a solid start. Is an AI Coding Assistant Right For You?

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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

Discover how aspiring citizen data scientists, business analysts, data analysts, students, and data scientists can get hands-on and experiment with and work on tech development. Save over $600 for the first time ever! The sale ends today!

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Democratize ML on Salesforce Data Cloud with no-code Amazon SageMaker Canvas

AWS Machine Learning Blog

In Part 1 and Part 2 , we show how the Salesforce Data Cloud and Einstein Studio integration with SageMaker allows businesses to access their Salesforce data securely using SageMaker and use its tools to build, train, and deploy models to endpoints hosted on SageMaker. join(map(str, instance["features"]))) body='n'.join(features)

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

ODSC - Open Data Science

We provide a limited number of spaces at each event and they are generally allocated on a first-come basis to qualified startups. Discover how aspiring citizen data scientists, business analysts, data analysts, students, and data scientists can get hands-on and experiment with and work on tech development.

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How to build reusable data cleaning pipelines with scikit-learn

Snorkel AI

Because of this, I’m always looking for ways to automate and improve our data pipelines. Data cleaning pipelines reduce the amount of time it takes to clean your data and can be shared and reused for different data science projects. I think it’s great for everybody to have data science knowledge that way.