Modern #TimeSeries #Forecasting with #Python โ Industry-ready #MachineLearning and #DeepLearning time series analysis with PyTorch and PANDAS: http://
amzn.to/4eP5yYt v/ @PacktPublishing ๐๐ฎ๐ ๐๐ฎ๐ช๐ฝ๐พ๐ป๐ฎ๐ผ: Apply ML and global models to improve forecasting accuracy
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Modern Time Series Forecasting with Python and Deep Learning
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Python Data Cleaning and Preparation Best Practices Guide
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#Python Data Cleaning and Preparation Best Practices โ A practical guide to organizing and handling data from various sources and formats using Python: https://
amzn.to/49wtptU v/ @PacktPublishing Key Features: Maximize the value of your data through effective data cleaning -
Domain-Specific Evaluation Sets for LLM-as-a-Judge Pipeline
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Devs, let's chat at @NeurIPSConf about a previous paper: Constructing Domain-Specific Evaluation Sets forย LLM-as-a-judge. The idea is to introduce a data pipeline to generate domain-specific evals for LLM-as-a-Judge, for uses cases. Paper
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Data Explosion Accelerates: 197-Fold Growth by 2028
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197-Fold #Data Explosion, #AI Eat Away! 2010: 2 ZB
2015: 15.5 ZB
2020: 64 ZB
2023: 123 ZB
2024: 149 ZB
2026: 221 ZB projected
2028: 394 ZB projected #IoT #Streaming #BigData @StatistaCharts -
Publishing research in Statistics over CS for community engagement
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Thank you! We probably could have published it faster in a CS conference. But I really think it's of significant interest to the Statistics community, and believe there should be more engagement between the CS and Stats privacy communities, so we put our money where our mouth is.
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DuckDB 1.0: High-Speed Analytics Engine for AI Workflows
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#DuckDB Redefining Analytics for #AI 100x faster Parquet queries vs. Pandas Process billions of rows in seconds In-process #SQL <10MB RAM for setup Integrated #Python/#R for #ML workflows Version 1.0 stability + @MotherDuckHQ backing #DataAnalytics #TechTrends
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The Rapid Adoption of Generative AI in the Workplace
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The Rapid Adoption of Generative AI
#AI #AIio #BigData #ML #NLU #Futureofwork @Kevin_Jackson @sallyeaves @schmarzo @kdnuggets @akwyz @BrettKing @TechNative @MiaD -
Building Alteryx Dream Teams Through Centers of Enablement
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In this episode of Alter Everything, host Megan Bowers chats with Emil Kos and Bart Smuga, co-founders of Data Pal, about building Alteryx dream teams through centers of enablement.
— Alteryx (@alteryx) 11 dรฉcembre 2024
Listen here: https://t.co/rJKhatJ0IB #AlterEverything pic.twitter.com/ith6cABHDPIn this episode of Alter Everything, host Megan Bowers chats with Emil Kos and Bart Smuga, co-founders of Data Pal, about building Alteryx dream teams through centers of enablement. Listen here: https://
ow.ly/WGkR50UoFZU #AlterEverything -
Data Scaling Limitations in AI Model Improvement Questioned
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Shared some hot takes with @reckless on Decoder this week (not all of them AGI-related!), and one of the most important: I don't think data will be a limitation on model improvement and scaling anytime soon. Why I think we still have big gains ahead: 1. The more computation you
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Data LLMs: Unlocking Hidden Insights and Generating Automated Data Stories
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Your data has a story to tell. You can use @AbacusAI #DataLLM to detect the patterns in your data, extract hidden insights, and generate data stories, reports, #DataViz, & narratives for you: https://
blog.abacus.ai/blog/2023/08/2
4/data-llm-get-insights-from-your-data/
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#AI #LLMs #MachineLearning #DataScience #GenerativeAI #IoT