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Explore key predictive analytics techniques including regression, decision trees, ensembles, and neural networks. Gain hands-on experience in model fitting, performance evaluation, and practical application of machine learning methods.
Learn to deploy AI & ML models in production using AWS. Gain hands-on experience with data pipelines, versioning, model storage, and monitoring. Master the skills to effectively implement and maintain ML projects.
Deploy AI & ML models in production using GCP. Learn data pipelines, versioning, model storage, and monitoring. Gain hands-on experience with key MLOps concepts for effective deployment and maintenance of machine learning models.
Automate and optimize data pipelines using Azure Machine Learning. Learn monitoring, drift detection, triggers, alarms, CI/CD, and responsible AI practices for robust and ethical ML deployments.
Automate and optimize data pipelines using AWS, covering drift monitoring, model stability, CI/CD, and responsible AI practices for improved ML project deployment and performance.
Explore ethical considerations in data science, including bias, transparency, and legal issues. Learn frameworks and tools to build responsible AI models and mitigate unintended harm.
Learn practical tools to build ethical AI models, interpret results, audit for bias, and implement fairness in data science projects using real-world datasets and Python code.
Automate and optimize data pipelines on GCP, covering drift monitoring, model stability, CI/CD, and responsible AI practices for successful ML project deployment.
Learn to deploy AI & ML models in production using Azure Machine Learning. Gain hands-on experience with data pipelines, versioning, model storage, and monitoring. Master essential skills for successful MLOps implementation.
Learn to deploy machine learning models using Azure, combining data engineering and data science skills to create automated, self-monitoring pipelines for AI-driven decision-making and business integration.
Learn to deploy ML models on AWS, combining data engineering and data science skills to create automated, self-monitoring pipelines for AI-driven decision-making and business integration.
Aprende a combinar habilidades de ingenierÃa de datos y ciencia de datos para desplegar modelos de machine learning en Google Cloud Platform, automatizando y optimizando pipelines para monitoreo continuo y acciones empresariales.
Responsible guidance and practical tools for building ethical AI models, addressing bias and fairness in data science projects to prevent harmful outcomes and ensure responsible development.
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