Introduction to TensorFlow
Aprende los conceptos básicos de deep learning y TensorFlow, desde la instalación hasta la creación de redes neuronales, a través de ejemplos prácticos y visualizaciones amigables.
Corona-Net
Explore Corona-Net: an open-source project for COVID-19 diagnosis and symptom segmentation using deep learning models like EfficientNet and U-Net on CT scans.
Classifying LEGO Bricks with Machine Learning
Explore the journey of creating a LEGO brick recognition application using Python, covering dataset creation, machine learning approaches, and practical insights for implementation.
Train Your Swift - Computational Statistics in Swift Examples
Explore statistical models, bag-of-words classification, and Markov Chain algorithms in Swift. Learn to implement mathematical concepts for sorting, classifying, and generating data through practical examples.
Reinforcement Learning and Minecraft - ML Con Spring 2018
Explore reinforcement learning through Minecraft's AI platform, Project Malmo. Learn to solve problems using deep learning techniques in a unique experimental environment.
Deep Learning - The Final Frontier for Time Series Analysis
Explore deep learning's potential in time series analysis, covering classification, prediction, and anomaly detection. Learn how neural networks can revolutionize processing of sequential data across various domains.
Machine Learning for Gamers - Dungeon Forecasts & Dragon Regressions
Explore machine learning applications in gaming, from character creation to game mastering, covering regression, forecasting, classification, and more using fun, geeky examples.
Hugging Face Datasets - Dataset Builder Scripts for Beginners
Learn to create and manage dataset builder scripts for Hugging Face, including download management, Apache Arrow datatypes, and integration with popular machine learning frameworks for efficient model training and fine-tuning.
Logistic Regression - Continued
Explore advanced concepts and applications of logistic regression for enhanced predictive modeling and data analysis skills.
Boosting and Ensembles in Machine Learning - Lecture 18b
Discover how to transform weak learning algorithms into powerful predictive models through boosting and ensemble techniques in machine learning.
Generative and Discriminative Models in Machine Learning - Lecture 27B
Explore the fundamental differences between generative and discriminative models in machine learning through a concise high-level introduction to these essential modeling approaches.
PL4XGL: A Programming Language Approach to Explainable Graph Learning
Explore a novel programming language approach to explainable graph learning, addressing limitations in GNN explainability through a graph description language and interpretable classification model.
Best Practices and Tips for Fine-Tuning Representation Models
Discover techniques to enhance generative applications through representation model fine-tuning. Learn data quality strategies, augmentation methods, and optimization tips for RAG-based pipelines.
Implementing Linear Discriminant Analysis (LDA) with Irish Data Sets in R
Implement LDA using Irish datasets in R, gaining practical experience with Linear Discriminant Analysis techniques.
K-Nearest Neighbors (KNN) Algorithm - Introduction and Applications
Explore k-Nearest Neighbors algorithm: concepts, applications, assumptions, implementation, and optimization techniques for effective machine learning.
Predictive Modelling
Explore predictive modeling techniques and applications for data-driven decision-making and forecasting in various domains.
Logistic Regression to Deep Learning Neural Network
Explore the evolution from logistic regression to deep neural networks, understanding key concepts and applications in machine learning and AI.
Phylogenetic Classification of Living Mammals - Lecture 2.3
Explore the phylogenetic classification of living mammals, understanding evolutionary relationships and taxonomic groupings within the mammalian class.
Orders Macroscelidea, Afrosoricida, and Tubulidentata - Lecture 2.4
Explore unique African mammal orders: Macroscelidea (elephant shrews), Afrosoricida (tenrecs, golden moles), and Tubulidentata (aardvarks). Learn their characteristics and evolutionary history.
Orders Scandentia and Dermoptera - Lecture 4.2
Explore the unique characteristics and evolutionary history of tree shrews and flying lemurs in this concise overview of Scandentia and Dermoptera orders.
Generative vs. Discriminative AI - A Comparative Analysis
Explore the key distinctions between generative and discriminative AI approaches, understanding their unique characteristics and applications.