Overfitting vs Underfitting | Bias & Variance | Machine Learning Interview Question [Video]

Are you preparing for a Machine Learning interview or struggling to understand key concepts like Overfitting, Underfitting, Bias, and Variance? 🚀

In this video, I break down these critical topics in a simple and easy-to-understand way, ensuring you’re ready for any Machine Learning or Data Science interview question. Whether you’re a student, a working professional, or an ML enthusiast, mastering these concepts is crucial for building robust models and acing interviews!

🔑 What you’ll learn:

➜ The differences between Overfitting and Underfitting
➜ How Bias and Variance impact model performance
➜ Real-world examples to solidify your understanding
➜ Essential tips to tackle these questions in interviews

Don’t miss out! Hit the play button and boost your ML knowledge. 📈

Similar topics:
SVM – basics: https://youtu.be/kFuEBluS2iU?si=rasa2Y_e7hFP2KCn
SVM maths: https://youtu.be/zhRKkiLQ814?si=FoNuonOGKDjcVucy
SVM Kernels: https://youtu.be/dZ5LSDC61Jg?si=QQHhPc1QG_kc_0dP
Introduction to Activation Function: https://www.youtube.com/watch?v=2aIsF3MBsFA&list=PL4B6T2yqHcJxnxj5HhnOukSgvpM0aoGnR
Types of Activation Function – Part 2: https://www.youtube.com/watch?v=2JJrQMsHyBg&t=3s
How Generative AI Works: https://www.youtube.com/watch?v=4sUgkfBQsQc&list=PL4B6T2yqHcJxdeChckvD7dHEmg4_uVzQy&index=2&t=84s

Connect with me here:
LinkedIn: https://www.linkedin.com/in/ayan-debnath/
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Gmail: adacademyai@gmail.com

#machinelearning #bias #variance #interviewquestions #interviewpreparation #overfitting