Search Results for "recommendation"

...It demonstrates how to prepare datasets, configure loss functions, manage optimizers, and train models using different approaches. The tutorials also cover GPU acceleration, TensorBoard visualization, and techniques for evaluating model performance. Additional examples explore recommendation systems, advertising algorithms, and architectures such as DeepFM and FiBiNET. Interactive Jupyter notebooks provide reusable code for experimentation and practical development.

The Recommenders repository provides examples and best practices for building recommendation systems, provided as Jupyter notebooks. The module reco_utils contains functions to simplify common tasks used when developing and evaluating recommender systems. Several utilities are provided in reco_utils to support common tasks such as loading datasets in the format expected by different algorithms, evaluating model outputs, and splitting training/test data.

ML-For-Beginners is a structured, project-driven curriculum that teaches foundational machine learning concepts with approachable math and lots of code. Organized as a multi-week course, it mixes short lectures with labs in notebooks so learners practice regression, classification, clustering, and recommendation techniques on real datasets. Each lesson aims to connect the algorithm to a relatable scenario, reinforcing intuition before diving into parameters, metrics, and trade-offs. The repository includes quizzes, solutions, and instructor materials to make the content usable in classrooms or self-study. It emphasizes ethical considerations and model evaluation—accuracy is not the only metric—so students learn to validate and communicate results responsibly. ...

Tria O.S. detects hard & soft specs of the PC where you run it, you can load this info or specify it manually to let the program inform you what would be the best operating system for a specific PC, with the specified hardware, and then see the difference by adding RAM, a SSD hard drive, changing the graphics card ... etc. REQUIREMENTS: Linux EDITION need Gambas 3.3 or later, so you have to install the 'gambas3' package before installing. 90's EDITION needs 160 MB (192 MB on a...

...It is structured as a learning reference, allowing users to review finished examples or compare changes section by section. Since it represents course-era React and Redux practices, it is best used as an educational snapshot rather than a current production architecture recommendation. Its value is in making abstract Redux concepts easier to study through concrete project code.

This project has the objective of defining a recommendation layer that will communicate with several LMS like .LRN, Moodle, etc.