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Learn Model Evaluation, earn certificates with free online courses from Stanford, Johns Hopkins, UC San Diego, Duke and other top universities around the world. Read reviews to decide if a class is right for you.
Learn Machine Learning Terminology & Process and gain solid understanding along with hand-on labs. Master 5 Steps of ML
Master Complete Hands-On Regression Analysis & Classification for applied Statistical Modelling & Machine Learning in R
Become an Advanced Machine Learning Specialist, Learn Preprocessing, Feature Engineering, Model Evaluation and Selection
Learn to build deep learning models that generate captions for images, covering encoder-decoder architecture, training techniques, and evaluation methods for practical implementation.
Learn to classify images and detect objects using machine learning in MATLAB. Apply the full workflow from data preparation to result evaluation, focusing on street sign classification and material defect detection.
Learn to build regression, classification, and clustering models using various algorithms. Gain hands-on experience in model selection, evaluation, and tuning for supervised and unsupervised learning tasks.
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you explore and evaluate AI models using Model Garden.
Hands-on specialization in deep learning for computer vision, covering image classification, object detection, and advanced techniques. Gain practical skills using MATLAB for real-world applications.
Explore the generative AI lifecycle: from defining use cases to deploying models. Learn to select, improve, and evaluate foundation models for impactful business solutions.
Aprenda a navegar, seleccionar y evaluar modelos de lenguaje de Hugging Face para encontrar el LLM óptimo para su proyecto. Domine técnicas avanzadas de comparación y prueba de modelos para aplicaciones de IA.
Learn the basics of practical machine learning methods for classification problems.
Beginner-friendly introduction to machine learning for non-engineers. Learn core concepts, data types, algorithms, and practical applications. Develop skills to translate real-world challenges into ML solutions using accessible tools.
Empowering young people, especially women, to pursue machine learning careers through hands-on experience, data exploration, model training, and ethical considerations.
Learn to train Object Detection Transformers using DETR, from environment setup to custom dataset training and model evaluation. Covers PyTorch, COCO datasets, and PyTorch Lightning for efficient deep learning workflows.
Learn essential machine learning concepts and techniques for coders, covering fundamental principles and practical applications across 12 comprehensive lessons.
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