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State of Machine Learning Survey Results Part Two

ODSC - Open Data Science

Machine learning practitioners are often working with data at the beginning and during the full stack of things, so they see a lot of workflow/pipeline development, data wrangling, and data preparation.

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Data Transformation and Feature Engineering: Exploring 6 Key MLOps Questions using AWS SageMaker

Towards AI

Last Updated on July 7, 2023 by Editorial Team Author(s): Anirudh Mehta Originally published on Towards AI. To prepare the data for models, a data scientist often needs to transform, clean, and enrich the dataset. This section will focus on running transformations on our transaction data.

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Must-Have Prompt Engineering Skills for 2024

ODSC - Open Data Science

Fine-tuning is important for applying domain-specific knowledge to an existing LLM which provides better performance and prompt results Inference Efficiency An emergent skill in late 2023, its inclusion speaks to its importance. Stable Diffusion seems favored, perhaps due to it being largely an open-source model.

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Roadmap to Learn Data Science for Beginners and Freshers in 2023

Becoming Human

There is a position called Data Analyst whose work is to analyze the historical data, and from that, they will derive some KPI s (Key Performance Indicators) for making any further calls. For Data Analysis you can focus on such topics as Feature Engineering , Data Wrangling , and EDA which is also known as Exploratory Data Analysis.

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AMA technique: a trick to build systems with foundation models

Snorkel AI

She presented “Ask Me Anything: How are Foundation Models Changing the Way We Build Software” at Snorkel AI’s Foundation Model Virtual Summit 2023. We can’t send private data such as medical records to an API, and therefore we need small open-source models to improve the feasibility of our proposal.

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AMA technique: a trick to build systems with foundation models

Snorkel AI

She presented “Ask Me Anything: How are Foundation Models Changing the Way We Build Software” at Snorkel AI’s Foundation Model Virtual Summit 2023. We can’t send private data such as medical records to an API, and therefore we need small open-source models to improve the feasibility of our proposal.

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How to Use Exploratory Notebooks [Best Practices]

The MLOps Blog

Example template for an exploratory notebook | Source: Author How to organize code in Jupyter notebook For exploratory tasks, the code to produce SQL queries, pandas data wrangling, or create plots is not important for readers. in a pandas DataFrame) but in the company’s data warehouse (e.g., documentation.

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