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Responsible Citizen Data Science. Yes, it is Possible.

DataRobot Blog

To retain market leadership in the algorithm economy, enterprises require new ways to maximize the value of data and AI with citizen data scientists. Don’t think citizen data science is. by Jen Underwood. Read More.

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How to establish lineage transparency for your machine learning initiatives

IBM Journey to AI blog

From predicting customer behavior to optimizing business processes, ML algorithms are increasingly being used to make decisions that impact business outcomes. Have you ever wondered how these algorithms arrive at their conclusions? The answer lies in the data used to train these models and how that data is derived.

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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.

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DataRobot Joins the AWS ISV Workload Migration Program

DataRobot Blog

DataRobot provides a Machine Learning platform that allows data scientists and citizen data scientists to quickly and efficiently prepare, build and evaluate many competing models in order to identify the optimal algorithm to solve the use case.

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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.

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

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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3 Takeaways from Gartner’s 2018 Data and Analytics Summit

DataRobot Blog

Today’s data management and analytics products have infused artificial intelligence (AI) and machine learning (ML) algorithms into their core capabilities. These modern tools will auto-profile the data, detect joins and overlaps, and offer recommendations. 2) Line of business is taking a more active role in data projects.