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[ WebToolTip.com ] The Ultimate Guide For Automated Machine Learning Testing

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Published 2/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.08 GB | Duration: 4h 36m

Hands-on ML Testing & Automation: Build Reliable Models with Ready-to-Use Scripts & Real-World Testing Frameworks!

What you'll learn
Gain hands-on experience with ready-to-use ML testing scripts and automation frameworks to confidently apply testing techniques in real projects.
Apply ML testing concepts through real-world exercises, coding challenges, and practical scripts designed to accelerate your learning. Learn to automate ML dat
Learn to automate ML data validation, model evaluation, and API testing with industry-relevant tools and hands-on implementation.
Build expertise in ML test automation with step-by-step guidance, covering data quality, model performance, bias detection, and deployment testing.

Requirements
Basic Understanding of Machine Learning – Familiarity with ML concepts like training models, evaluation, and common algorithms is helpful.
Python Programming Skills – Knowledge of Python and basic scripting is required for hands-on exercises.
Familiarity with ML Libraries - like Scikit-learn, TensorFlow, or PyTorch is beneficial.
Basic Understanding of Software Testing – Awareness of testing concepts (unit testing, validation) will be useful but not mandatory And Interest in ML Automation – No prior ML testing experience is needed, but curiosity about automating ML workflows will be helpful.

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