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Explore machine learning from a developer's perspective in this 59-minute conference talk. Learn how to prototype solutions using ML.NET Model Builder, apply basic data science concepts to improve models, and generate code for practical applications. Discover the process of creating custom machine learning models and implementing them in your projects. Gain insights into ML operations, data preparation, model training, evaluation, and troubleshooting. By the end of the talk, acquire the skills to develop and integrate machine learning solutions into your applications with minimal complexity.
Machine Learning Simplified for Developers with ML.NET