15 Machine Learning Lessons I Wish I Knew Earlier
In this video, I will tell you 15 lessons I learned over the years that could have made my Machine Learning journey easier to save you some time.
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### Chapters ###
00:00 - Intro
00:21 - Imposter Syndrome Happens to Everyone
01:23 - Fundamentals Are Your Best Friend
03:08 - You Don’t Need to Memorize Everything
03:50 - Modeling Isn’t the Hard Part
04:44 - Understand the Business Problem First
05:35 - The Power of EDA & Visualization
07:10 - Feature Engineering is Key
08:24 - Don’t Get Stuck in Algorithm Obsession
09:57 - Understanding The Bias-Variance Tradeoff and Proper Validation Are Key to Building Useful Models
11:57 - Generalize Before Specializing
12:41 - Data Science is a Team Sport
14:18 - You'll Always Be a Student
14:46 - There’s more to AI than Machine Learning
15:50 - Real-World Projects beats Kaggle Competitions beats Tutorials & Toy Data
17:20 - Network as Much as You Can
15 Machine Learning Lessons I Wish I Knew Earlier
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