Machine Learning Interview - Training AI to Detect Bots
Make sure you're interview-ready with Exponent's machine learning case interview course: https://bit.ly/45HCQEi
In this interview, Nathan discusses how to train a machine-learning model to flag potential bot accounts on social networks. He addresses the issue of class imbalance in the training data and suggests subsampling or oversampling based on the data set size. Nathan also discusses the trade-offs between different models and metrics for evaluating model 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/exponenttikttok
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!
#techjobinterviewprep #interviewtips #jobinterviewpreparation #Exponent #machinelearningengineer #datascientist #artificialintelligence #computervision #MachineLearning #AI #BotDetection
Видео Machine Learning Interview - Training AI to Detect Bots канала Exponent
In this interview, Nathan discusses how to train a machine-learning model to flag potential bot accounts on social networks. He addresses the issue of class imbalance in the training data and suggests subsampling or oversampling based on the data set size. Nathan also discusses the trade-offs between different models and metrics for evaluating model 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/exponenttikttok
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!
#techjobinterviewprep #interviewtips #jobinterviewpreparation #Exponent #machinelearningengineer #datascientist #artificialintelligence #computervision #MachineLearning #AI #BotDetection
Видео Machine Learning Interview - Training AI to Detect Bots канала Exponent
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
Machine Learning Interview - Design Spotify Recommendations
Drawbacks of NoSQL Databases in Distributed Systems
Advantages of Using NoSQL Databases
Choosing the Right Database for System Design
Using Circuit Breakers for Reliable AI Systems
How does an API work?
What is an API?
System design interview on how to handle bottlenecks and scaling
System Design Interview tips on how to deep dive into design
System design interview: Design at a high level
How to define problem space as a System Designer
APIs Explained (in 4 Minutes)
Design ChatGPT - System Design Mock Interview (with eBay EM)
What does a Director of Product do?
What does a Product Leader do?
What does Senior Product Manager do?
PM career ladder: What does Product Manager do?
PM career ladder: What does an associate PM do?
Join a startup as a PM.
Understanding Web 3.0 customers.