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

ODSC - Open Data Science

Sharda will walk through real-world examples, share code snippets, and explore how ARIMA Prophet compares when building models using Feature Engineering techniques and advanced machine learning algorithms.

AI 98
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The Prompt Optimization Stack, an Overview of LLMOps, and Using Synthetic Data for LLMs

ODSC - Open Data Science

Sharda will walk through real-world examples, share code snippets, and explore how ARIMA Prophet compare when building models using Feature Engineering techniques and advanced machine learning algorithms.

professionals

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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

Sharda will walk through real-world examples, share code snippets, and explore how ARIMA Prophet compares when building models using Feature Engineering techniques and advanced machine learning algorithms.

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Recent 10X Academy Graduates Ready to Hit the Data Science Ground Running

DataRobot

The founding of the 10X Academy is part of DataRobot’s commitment to developing automation that improves the productivity of data scientists while democratizing access to AI for non-data scientists. In terms of data analysis, I scraped huge datasets and applied NLP, feature engineering, and ML algorithms using Python.”.

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An open-source, low-code Python wrapper for easy usage of the Large Language Models such as…

Mlearning.ai

Large Language Models & Frameworks used — Overview Large language models or LLMs are AI algorithms trained on large text corpus, or multi-modal datasets, enabling them to understand and respond to human queries in a very natural human language way. Students and Teachers.

Python 52