Avoid These Mistakes While Learning Machine Learning!

Machine Learning is an excellent field to get into and I'm sure many of you plan on becoming machine learning engineers! This is an especially great opportunity for people who are already in tech. There are many ways to go about learning ML & AI. I've covered the entire process(including ML Roadmap) in this video right here: https://youtu.be/3Riz04yLci0 That being said, there are lot's of problems that you might face which could lead to some people giving up on learning ML. In this video, I talk about some of the biggest mistakes I've faced when learning machine learning and how I overcame them! 1. Overthinking the math 2. Creating Mental Roadblocks 3. Not practicing problem framing 4. Not spending time on data preparation and picking up good data processing skills 5. Deciding between Online vs Academic learning ------------------------------------------------------------------------- LINKS: -------------------------------------------------------------------------- 🖊 DOWNLOAD Machine Learning Roadmap 2021: https://learnml.substack.com -------------------------------------------------------------------------- MORE VIDEOS: -------------------------------------------------------------------------- 📌I'm Starting My Machine Learning Company (Day 1) https://youtu.be/lh_wyUrjS9k 📌Top Machine Learning Certifications For 2021 https://youtu.be/YhXzUZGKhIY 📌Why You Should NOT Learn Machine Learning! https://youtu.be/reY50t2hbuM 📌How I Learnt Machine Learning In 6 Steps (3 months) https://youtu.be/OuC3wgp1Fnw 📌How To Learn Machine Learning For Free https://youtu.be/QNKYKzTGerA -------------------------------------------------------------------------- Follow me: -------------------------------------------------------------------------- Subscribe: https://www.youtube.com/c/smithakolan?sub_confirmation=1 LinkedIn: https://www.linkedin.com/in/smithakolan/ Instagram: https://www.instagram.com/smithacodes/ background music: bensound.com