Learn Live - Refine and test machine learning models (Episode 5)

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Learn Live: Foundations of Data Science for Machine Learning - Refine and test machine learning models: October 12 – Episode 05 Join the chat and ask questions live at https://aka.ms/LearnLiveTV Starting Tuesday, September 14, 2021 (PST), join Jason DeBoever and Glenn Stephens live on Learn TV and explore this nine-part “Foundations of data science for machine learning” series. Each week, we will be walking through Learn modules and answering your questions live. From basic classical machine learning models to exploratory data analysis and customizing architectures, you’ll be guided by easy to digest conceptual content and interactive Jupyter notebooks and will learn about the underlying concepts as well as how to get into building models with the most common machine learning tools. October 12 - Episode 5 : Follow along and complete the free, hands-on Microsoft Learn modules at https://aka.ms/LearnML-TestModels When we think of machine learning, we often focus on the training process. A small amount of preparation before this process can not only speed up and improve learning but also give us some confidence about how well our models will work when faced with data we have never seen before. In this episode, you will: - Define feature normalization. - Create and work with test datasets. - Articulate how testing models can both improve and harm training. Miss an episode? No problem, catch it on-demand: https://aka.ms/learnlive #AI #ML #MachineLearning #Jupyter #LearnLiv

Published 2021-10-12 · Watch on YouTube ↗
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