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An Introduction to Pattern Recognition & Machine Learning – Data, Figures, and Code | Statistical Image Processing | University of Waterloo Datasets in CSV format

zip 40.8MB

Pearson

https://qualifications.pearson.com › Teaching Support

https://qualifications.pearson.com/content/dam/pdf/GCSE/French/2016/teaching-and-learning-materials/gcse-french-past-training-mocks-marking.zip

Training and events | Pearson qualifications Get mocks marking training materials

rar 6.5MB

Agrimoon

https://agrimoon.com › ebook

https://agrimoon.com/wp-content/uploads/Operations-Research.rar

Operations Research - ICAR eCourse PDF eBook

zip 305KB

Treble

https://docs.treble.tech › AES Aimla Tutorial

https://docs.treble.tech/notebooks/aes_aimla_tutorial.zip

Tutorial session: AES International Conference on Artificial Intelligence and Machine Learning for Audio | Treble Technologies Download Jupyter Notebook

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Machinelearningknowledge

https://machinelearningknowledge.ai › machine

https://machinelearningknowledge.ai/wp-content/uploads/2020/12/Streamlit-Face-Detection-WebApp-Code.zip

Build a Machine Learning Web App with Streamlit and Python [ Heroku Deployment ] - MLK - Machine Learning Knowledge Streamlit Face Detection Web App Code

zip 139.6KB

Petarkaran

https://petarkaran.it › machine

https://petarkaran.it/wp-content/uploads/2021/02/tensorflow_frutta.zip

[python] Semplice esercizio per riconoscere immagini di frutti con TensorFlow (machine learning) - Petar Karan progetto con le immagini scaricabile in formato zip

tar 0 bytes

Datasciencedojo

https://code.datasciencedojo.com › machine

https://code.datasciencedojo.com/mudasirumair/tutorials/repository/9757712521752437755c3caf8c8e85458ab8683e/archive.tar

Introduction to Machine Learning with R and Caret · 9757712521752437755c3caf8c8e85458ab8683e · mudasir / tutorials Download tar

zip 2MB

CNR

https://www.archcalc.cnr.it › 1261

https://www.archcalc.cnr.it/indice/suppl-material/34.2/3/Cardarelli_2023_supplementary.zip

Defining Southern Etruria Final Bronze Age settlement models using an integrated GIS and Machine Learning approach | Archeologia http://www.archcalc.cnr.it/indice/suppl-material/34.2/3/Cardarelli_2023_supplementary.zip