Deploying a Machine Learning Model (in 3 Minutes)

Ace your machine learning interviews with Exponent’s ML engineer interview course: bit.ly/3XAoRx0

In this video, we provide key insights into successfully deploying a machine learning model to production, covering important steps like model optimization, hardware selection, and handling traffic patterns. We also discuss the critical role of monitoring performance to ensure the model continues to perform well as data and user behaviors change over time.

Want to practice peer-to-peer mock interviews? bit.ly/3Xmj8wq

Chapters -
00:00 - Intro
00:19 - ML Model Design
00:56 - Overview
01:07 - Deploying the Model
01:24 - Model Hardware
01:49 - Optimizing, Compiling, and Troubleshooting
02:32 - Monitoring

Want more machine learning content?
ML Engineer Interviews Explained:    • ML Engineer Interviews Explained (in ...  
Essential ML Engineer Interview Questions:    • Top 6 ML Engineer Interview Questions...  
Fake News Detection System - Machine Learning Mock Interview -    • Fake News Detection System - Machine ...  
Amazon Machine Learning Engineer Interview: K-Means Clustering -    • Amazon Machine Learning Engineer Inte...  
How to Become a Machine Learning Engineer -    • How to Become a Machine Learning Engi...  

👉 Subscribe to our channel: bit.ly/exponentyt
🕊️ Follow us on Twitter: bit.ly/exptweet
💙 Like us on Facebook for special discounts: bit.ly/exponentfb
📷 Check us out on Instagram: bit.ly/exponentig
📹 Watch us on TikTok: bit.ly/exponenttiktok

ABOUT US:
Did you enjoy this video? 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