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Artificial Intelligence
Introducción a los encofrados y las cimbras en obra civil y edificación
Tsinghua Chinese: Start Talking with 1.3 Billion People
Astronomy: Exploring Time and Space
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Learn Regression Models, earn certificates with free online courses from Harvard, University of Pennsylvania, Johns Hopkins, Duke and other top universities around the world. Read reviews to decide if a class is right for you.
Understand Deep Learning and build Neural Networks using TensorFlow 2.0 and Keras in Python and R
Develop data-driven insights for a business problem using advanced analytics techniques, culminating in a capstone project that showcases your comprehensive skills in data science.
Machine Learning 101 Class Bootcamp Course Intro to AI
Supervised & unsupervised machine learning in R, clustering in R, predictive models in R by many labs, understand theory
Learn to build and apply regression models using linear algebra, including least squares method and Python implementation. Gain practical skills for real-world data analysis and prediction.
Aprende conceptos básicos de machine learning, prueba hipótesis, y entrena, ajusta y evalúa modelos para clasificación, regresión y clustering. Requiere conocimientos en tecnologÃa informática y programación.
Demystify machine learning fundamentals, build models, analyze data, and apply strategies to real-world scenarios. Gain practical skills for data-driven decision-making and problem-solving.
Factor extraction using PCA in Excel, R and Python
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.
Microsoft Azure AI Fundamentals: Explore visual tools for machine learning
Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.
Comprehensive survey of statistical methods for clinical trials, covering design, analysis, and ethical considerations. Emphasizes practical application using SAS software.
Learn to design effective experiments, from basic principles to advanced techniques like factorial designs and response surface methodologies. Gain practical skills in statistical software for data analysis and project completion.
Prepare for your next statistics interview by reviewing concepts like conditional probabilities, A/B testing, the bias-variance tradeoff, and more.
In this course, you'll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.
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