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Introduction
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Agenda
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MLNET
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What is Machine Learning
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ML Operations
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What is the process
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How do we get started
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Caveats
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MLNET Model Builder
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MLNET Trainer
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MLNET Model Builder Preview
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Data
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Demo
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Getting started
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When to start training
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Model Builder
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Evaluation
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Remove Expenses
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New Projects
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Prediction Engine
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Troubleshooting
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Summary
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it 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

NDC Conferences
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