Monitoring Machine Learning Concepts
Learn about the challenges of monitoring machine learning models in production, including data and concept drift, and methods to address model degradation.
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Durch Klick auf die Schaltfläche akzeptierst du unsere Nutzungsbedingungen, unsere Datenschutzrichtlinie und die Speicherung deiner Daten in den USA.Learn about the challenges of monitoring machine learning models in production, including data and concept drift, and methods to address model degradation.
Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.
Learn how to build interactive and insight-rich dashboards with Dash and Plotly.
Combine text, images, audio, and video with the latest AI models from Hugging Face, and generate new images and videos!
Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.
Learn about AWS Boto and harnessing cloud technology to optimize your data workflow.
Learn to manipulate and analyze flexibly structured data with MongoDB.
Ensure high data quality in data science and data engineering workflows with Pythons Great Expectations library.
Learn how to detect fraud using Python.
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Analyze text data in R using the tidy framework.
Master SQL Server programming by learning to create, update, and execute functions and stored procedures.
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Learn to tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.
Learn to solve real-world optimization problems using Pythons SciPy and PuLP, covering everything from basic to constrained and complex optimization.
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Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.
Learn the core techniques necessary to extract meaningful insights from time series data.
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Learn how to ensure clean data entry and build dynamic dashboards to display your marketing data.
Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.
Learn to design and run your own Monte Carlo simulations using Python!
Detect anomalies in your data analysis and expand your Python statistical toolkit in this four-hour course.
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