Best of Daily Dose of Data Science | Avi Chawla | SubstackMay 2024

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    Avatar of dailydoseofdsDaily Dose of Data Science | Avi Chawla | Substack·2y

    6 Elegant Jupyter Hacks

    Discover 6 elegant Jupyter hacks to improve your experience. Learn how to retrieve a cell's output, enrich the default preview of a DataFrame, generate helpful hints as you write Pandas code, improve rendering of DataFrames, restart the Jupyter kernel without losing variables, and search code in all Jupyter Notebooks from the terminal.

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    Avatar of dailydoseofdsDaily Dose of Data Science | Avi Chawla | Substack·2y

    5 LLM Fine-tuning Techniques Explained Visually

    This post explains five fine-tuning techniques for LLMs, including LoRA, LoRA-FA, VeRA, Delta-LoRA, and LoRA+.

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    Avatar of dailydoseofdsDaily Dose of Data Science | Avi Chawla | Substack·2y

    Grouping Sets, Rollup and Cube in SQL

    This post discusses three lesser-known grouping operations in SQL: Grouping Sets, Rollup, and Cube. These operations allow for efficient multiple aggregations on the same table, generating subtotals, grand totals, and all possible combinations of aggregations. The order is important in ROLLUP, and CUBE creates a result set with all possible combinations.

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    Avatar of dailydoseofdsDaily Dose of Data Science | Avi Chawla | Substack·2y

    Building Multi-task Learning Models

    A practical guide to building multi-task learning models in PyTorch.

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    Avatar of dailydoseofdsDaily Dose of Data Science | Avi Chawla | Substack·2y

    8 Alternatives to Traditional Plots

    Explore alternatives to traditional plots for data visualization, including size-encoded heatmaps, waterfall charts, and bump charts.

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    Avatar of dailydoseofdsDaily Dose of Data Science | Avi Chawla | Substack·2y

    Transfer Learning, Fine-tuning, Multitask Learning and Federated Learning

    Learn about transfer learning, fine-tuning, multitask learning, and federated learning in ML modeling.