Free ML.NET Video Course: Learn AutoML & Accuracy Tools
How to download and learn ML.NET AutoML tools for free with training on metrics, accuracy, and performance evaluation.
Automated ML.NET Training, Metrics, and Accuracy Overview:
This premium video course is completely free and provides in-depth knowledge on Microsoft’s ML.NET. You will learn to automate machine learning tasks using the command-line interface while understanding how to evaluate and enhance model performance. With expert instruction from Microsoft MVP Sam Nasr, you’ll explore AutoML fundamentals and gain practical skills to train models more efficiently.
Throughout the course, you will discover how to measure model accuracy using various metrics and techniques. Cross-validation, hyperparameter tuning, and pipeline inspection are just a few strategies you’ll explore to boost results. By the end, you’ll know exactly how to manage machine learning projects using ML.NET, a valuable skill for data professionals and developers.
Master ML.NET automation and accuracy tools with this free premium course.
What You’ll Learn in Automated ML.NET Training, Metrics, and Accuracy:
- Understand the fundamentals of automated machine learning (AutoML)
- Use ML.NET CLI to automate model training
- Evaluate ML models using key performance metrics
- Improve accuracy through cross-validation and hyperparameter tuning
- Inspect pipeline values to optimize performance
Course Highlights:
- Expert Instructor: Learn from Microsoft MVP Sam Nasr
- Course Duration: 35 minutes of practical training
- Hands-On Tools: Work with ML.NET CLI and AutoML techniques
- Performance Evaluation: Focus on accuracy and metrics
- Release Info: Updated for 2024 with the latest methods
ML.NET Course Information:
Created by senior engineer Sam Nasr, this 2024 ML.NET course offers targeted training on automated machine learning. Learn to streamline model training using the command-line interface while gaining skills in model evaluation and performance tuning. The training emphasizes metrics and accuracy techniques to help you refine ML models for better results. With a compact 35-minute duration, it’s a perfect starter course for developers and IT professionals seeking to expand their AI and data science toolkit.
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