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Learn predictive analytics, machine learning, and data science with hands-on experience in linear and logistic regression, decision trees, ensembles, and neural networks in a 4-week course by statistics.com.
Learn to deploy AI & ML models in production using Azure Machine Learning in a 4-week course by statistics.com. Gain hands-on experience with data pipelines, model storage, and more.
Learn to deploy AI & ML models in production using AWS with this 4-week course from statistics.com. Gain hands-on experience with data pipelines, model storage, and performance monitoring.
Learn to deploy AI & ML models in production using Google Cloud Platform with this 4-week course by statistics.com. Gain hands-on experience in data engineering and model monitoring.
Learn to automate and optimize data pipelines using Azure Machine Learning in this 4-week course by statistics.com. Topics include monitoring, triggers, alarms, model stability, and responsible AI.
Learn to automate and optimize data pipelines using AWS in a 4-week course by statistics.com. Master monitoring, triggers, alarms, CI/CD, and responsible AI.
Learn to build ethical AI models with Statistics.com's 4-week course. Gain practical tools, understand legal issues, and explore transparency in data science.
Learn to automate and optimize data pipelines using Google Cloud Platform in a 4-week course by statistics.com. Covers model stability, CI/CD, and Responsible AI.
Learn to build fair and unbiased AI models with this 4-week course from statistics.com. Gain practical tools for model interpretability and auditing, using real-world datasets and Python code.
Master the deployment of AI models with Statistics.com's 12-week course. Learn to create, monitor, and maintain automated data pipelines using Google Cloud Platform, enhancing your AI engineering skills.
Learn to deploy machine learning models with Statistics.com's 12-week course. Master AWS pipeline creation, data ingestion, and continuous monitoring for career success in AI engineering.
Learn to deploy machine learning models with Statistics.com's 12-week course. Master data engineering and data science skills on Microsoft Azure, creating automated, self-monitoring data pipelines.
Learn to build fair and unbiased AI models with this 8-week course from statistics.com. Gain practical tools and ethical guidance for data science projects.
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