Python-bloggers

Visualizing Text Data

April 2, 2023 | Ponne, Bruno

Introduction “Words have no power to impress the mind without the exquisite horror of their reality.” Edgar Allan Poe One common way of distinguishing between history and prehistory is by the emergence of writing. In particular, in our modern ...

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A new version of nnetsauce (randomized and quasi-randomized ‘neural’ networks)

April 2, 2023 | T. Moudiki

Randomized and quasi-randomized 'neural' networks for supervised learning

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Explainable AI and BERT on Methods Bites

March 31, 2023 | Python-post on Cosima Meyer

Together with Andreas Küpfer I spent the last months writing and thinking about how to best explain BERT (using huggingface), apply it to a typical social science problem, and show the functionality of explainable AI. When working with large language m...

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Creating doodles with HED detection and ControlNet

March 29, 2023 | Gary Hutson

Want to use your profile image and use this alongside edge detection and stable diffusion to generate an image based off your profile? Then, you are in luck and should read this post. [...Read more...]

The State of Shiny Survey: An Essential Tool for Data Scientists

March 27, 2023 | Appsilon

The adoption of Shiny, the R package for building interactive web applications, is growing. As a leader in R Shiny development for enterprises, we’re asking you, fellow users of R and Shiny, to discuss the current state of Shiny in 2023 and its outlook for the future. We would like ...

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Introduction to Python (Financial Modeling Institute presentation)

March 17, 2023 | George Mount

This event has concluded. Thank you to the Financial Modeling Institute for the opportunity to present. In March 2023 I had the opportunity to lead a one-hour webinar with the Financial Modeling Institute (FMI) on an introduction to Python. Event description: If you’re a financial professional looking to grow your ... [...Read more...]

How to get started with Machine Learning: A Scikit-learn tutorial

March 14, 2023 | [email protected]

In this article, we will be covering a Scikit learn tutorial in which we will dig deep into the Scikit-Learn library and see how we can use python and Scikit-Learn to solve machine learning problems. Scikit-Learn (Sklearn) is a free, open-source, and popular python package. Sklearn has multiple uses but ...

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Using ControlNet models to remodel my living room

March 9, 2023 | Gary Hutson

This post will use an old image of my house before I bought it, and remodelled the living room, to see how this model could be used to make suggestions on how it could be further remodelled. We will be using a suite of pre-trained ControlNet models, trained on hours ...

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SatRdays London 2023: Speakers

March 7, 2023 | The Jumping Rivers Blog

SatRdays London is fast approaching, and we are happy to announce our full lineup of speakers for the event! Read on for more info. If you want to join the fun, head over to the conference website...

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PyCaret: A unified ML platform for training and deploying Machine Learning Models at Scale

March 3, 2023 | Nagdev Amruthnath

PyCaret is an open-source machine learning library in Python that is designed to reduce the time and effort required for building, deploying and scaling machine learning models. It provides a simplified and unified interface for various machine learning tasks like classification, regression, clustering, natural language processing and anomaly detection. PyCaret ... [...Read more...]

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