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Exploring the Essential Features of “Linux Academy – DP-100 Part 2 – Modeling“
In this course, the second installment of a comprehensive three-part series geared towards preparing for the DP-100 exam, our primary focus is on the practical aspects of running experiments and training models within the Azure Machine Learning framework.
Key Highlights:
- Azure Machine Learning Designer: Learn how to efficiently create models using the intuitive Azure Machine Learning designer interface.
- Training Script Execution: Dive into the process of running training scripts seamlessly within the Azure Machine Learning workspace for optimal results.
- Metrics Generation: Understand how to extract meaningful metrics from experiment runs, providing valuable insights into model performance.
- Foundational Knowledge: Build a solid foundation by exploring essential algorithms, features, and machine learning models critical for success.
- Tool Proficiency: Gain proficiency in utilizing important tools such as PyTorch, Scikit-learn, Keras, and Chainer, enhancing your versatility in machine learning implementation.
Embark on this journey to enhance your skills in Azure Machine Learning, empowering yourself with the expertise needed to excel in the DP-100 exam. Whether you are a beginner or looking to refine your existing knowledge, this course equips you with practical insights and hands-on experience for mastering machine learning in the Azure ecosystem.
Please see the full list of alternative group-buy courses available here: https://lunacourse.com/shop/
