Sneak peek into ML Interview Playbook

Crack ML Interviews with Confidence — From Basics to Advance

Whether you're prepping for your first machine learning interview or your fifth, this playbook is your end-to-end companion. It combines practical wisdom, tricky questions, and insider knowledge to help you stand out.

🔍 What’s Inside:

✅ Chapter 1: 25 Common Interview Questions

Get instant access to the first chapter—25 tried-and-tested questions every ML candidate should expect. 15 questions are open for everyone to read. Use this chapter to benchmark your readiness and give feedback.

📚 Chapter 2: Foundations

• Core Machine Learning concepts
• Deep Learning fundamentals
• Statistics and Calculus that show up in interviews

💡 Chapter 3: 100 Questions That Will Stump You

These aren't your average textbook questions. These are curveballs pulled from real interviews—designed to test depth, clarity, and problem-solving.

🏢 Chapter 4: FAANG Interviews

Learn how top companies frame ML problems and evaluate candidates, and what they look for.

🎁 Bonus Section:

• Python tricks every ML engineer should know
• Interview-specific ML tips and memory aids
• How to use Kaggle and GitHub to boost your profile

🎯 Who this is for:

• Aspiring ML engineers and data scientists
• Experienced professionals preparing for top tech roles
• Anyone who wants a focused, no-fluff guide to ML interviews

💬 Now sharing Chapter 1 with 25 questions for Feedback!

Help shape the final version—download the first chapter today, try it out, and let me know what you'd like to see improved or added.