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ML Training Data vs. Testing Data (Key Differences)
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Machine Learning Interview Prep - ML Training Data vs. Testing Data (Key Differences)

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37 learners

What you'll learn

This course includes

  • 9.5 hours of video
  • Certificate of completion
  • Access on mobile and TV

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Ace your machine learning interviews with Exponent’s ML engineer interview course: https://bit.ly/48IhQPp Here, we cover the roles of training, testing, and validation data sets, and explain how hyperparameters are tuned for optimal algorithm performance. Want more machine learning content? - Fake News Detection System - Machine Learning Mock Interview - https://youtu.be/qrNqUwpypT8 - Amazon Machine Learning Engineer Interview: K-Means Clustering - https://youtu.be/xKZHH-UOsUM - How to Become a Machine Learning Engineer - https://youtu.be/VP8eC3I1IHQ 👉 Subscribe to our channel: http://bit.ly/exponentyt 🕊️ Follow us on Twitter: http://bit.ly/exptweet 💙 Like us on Facebook for special discounts: http://bit.ly/exponentfb 📷 Check us out on Instagram: http://bit.ly/exponentig 📹 Watch us on TikTok: https://bit.ly/exponenttiktok ABOUT US: Did you enjoy this interview question and answer? Want to land your dream career? Exponent is an online community, course, and coaching platform to help you ace your upcoming interview. Exponent has helped people land their dream careers at companies like Google, Microsoft, Amazon, and high-growth startups. Exponent is currently licensed by Stanford, Yale, UW, and others. Our courses include interview lessons, questions, and complete answers with video walkthroughs. Access hours of real interview videos, where we analyze what went right or wrong, and our 1000+ community of expert coaches and industry professionals, to help you get your dream job and more!

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