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Domain: towardsdatascience.com Added: 2025-07-12 Status: βœ“ Success
data-science,machine-learning,tutorial,towardsdatascience.com
In recent years, Deep Learning has made remarkable progress in the field of NLP. Time series, also sequential in nature, raise the question: what happens if we bring the full power of pretrained trans...
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TimesFM: Time Series Foundation Model for time-series forecasting (github.com/google-research)
https://news.ycombinator.com/item?id=40297946
I'm curious why we seem convinced that this is a task that is possible or something worthy of investigation. I've worked on language models since 2018...
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The Principles of Deep Learning Theory (arxiv.org)
https://news.ycombinator.com/item?id=31051540
First, thanks to the publisher and authors for making this freely available! I retired recently after using neural networks since the 1980s. I still s...
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Time Series Forecasting vs Regression: An informal guide (amorphousdata.com)
https://news.ycombinator.com/item?id=39350866
The author makes a call out to the online book Forecasting: Principles and Practice which is a great reference when conducting time series analyses. h...
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Extract-0: A specialized language model for document information extraction
https://news.ycombinator.com/item?id=45427634
> the generation of 281,128 augmented examples, from which 1,000 were held out as a benchmark test set. This model is trained on a custom dataset of 2...
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The 4-Step Framework I Use To Build Powerful Machine Learning Ensembles
https://forecastegy.com/posts/the-4-step-framework-to-build-powerful-machine-learning-ensembles/
A lot of people find machine learning ensembles very interesting. This is probably because they offer an β€œeasy” way to improve the performance of mach...
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A Peek at Trends in Machine Learning
https://karpathy.medium.com/a-peek-at-trends-in-machine-learning-ab8a1085a106?source=rss-ac9d9a35533e------2
A Peek at Trends in Machine Learning Have you looked at Google Trends? It’s pretty cool β€” you enter some keywords and see how Google Searches of that ...
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The Modern Data Toolbox: Combining LLMs, ML, and Statistics for Greater Impact
https://pub.towardsai.net/the-modern-data-toolbox-combining-llms-ml-and-statistics-for-greater-impact-087395a73a32?source=rss----98111c9905da---4
The Modern Data Toolbox: Combining LLMs, ML, and Statistics for Greater Impact Co-written with Matching the Tool to the Task A Quick Recap In our prev...
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A Practical Guide To Machine Learning
https://onepagecode.substack.com/p/a-practical-guide-to-machine-learning?sd=pf
A Practical Guide To Machine Learning It focuses on teaching you how to code basic machine learning models. In addition to linear regression, logistic...
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Time Series Forecasting Made Simple (Part 4.1): Understanding Stationarity in a Time Series
https://towardsdatascience.com/time-series-forecasting-made-simple-part-4-1-understanding-stationarity-in-a-time-series/
But these forecasting models require the data to be stationary. So first, we will discuss what stationarity in a time series actually is, why it is re...
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Deep Neural Nets: 33 years ago and 33 years from now
http://karpathy.github.io/2022/03/14/lecun1989/
Deep Neural Nets: 33 years ago and 33 years from now The Yann LeCun et al. (1989) paper Backpropagation Applied to Handwritten Zip Code Recognition is...
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