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In this episode, we have Shaojun Luo PhD, a machine learning engineer at Meta, who shares his journey from physics to machine learning. --- SUBSCRIBE TO OUR NEWSLETTER TO RECEIVE: 🚀 Episode Summaries: Get the latest episode in a digestible format 💡 Coding Tips & Tricks: Level up your skills with practical advice from industry experts. 🔮 Tech Trends: Stay ahead of the curve with our curated digest of emerging technologies. 🎁 Special Offers: Be the first to know about upcoming events, courses, and podcast merchandise. 👥 Community Spotlights: Connect with fellow coders and see what our listeners are building. ✉️ https://newsletter-signup-form-cf0560.zapier.app WANT TO SHARE YOUR TECH JOURNEY? 📒 https://forms.gle/jD8QMJKCMux7y82E9 --- ⏲️Timestamps 00:00 🎤 Meet Shaojun 00:33 🎓 Shaojun's Academic Journey in Physics 01:10 🔄 Transitioning to Machine Learning 02:36 💻 Learning to Code: Self-Study and Projects 03:40 🧮 Importance of Mathematics and Statistics 05:15 📚 Recommended Resources for Self-Learning 07:41 📈 The Demand for Machine Learning Skills 08:28 🧠 Combining Domain Expertise with Machine Learning 13:13 📊 Data Science vs. Machine Learning Roles 16:27 🤝 Aligning Technical Solutions with Business Needs 17:57 👀 The Importance of Visibility in Your Role 21:49 💼 Interview Process for Machine Learning Roles 23:59 🎉 First Job Offer in Machine Learning 25:23 🤔 Simple vs. Complex Machine Learning Methods 28:25 💰 The Role of Business Sense in Machine Learning 28:52 🚧 Challenges in Applying Machine Learning #techcareers #machinelearning #ai