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.

Also Watch: 
How to Learn Machine Learning in 2024 (7 step roadmap)   https://youtu.be/jwTaBztqTZ0

All Machine Learning algorithms explained in 17 min https://youtu.be/E0Hmnixke2g 

The Math Skills that make Machine Learning easy (and how you can learn it) https://youtu.be/wOTFGRSUQ6Q

Machine Learning Playlist: https://www.youtube.com/watch?v=wOTFGRSUQ6Q&list=PLbdTl8vSSyUDAvDPc1r3j9itciu_kb5vG&ab_channel=InfiniteCodes

Git/Github Playlist:
https://www.youtube.com/watch?v=ZFFtMyOFPe8&list=PLbdTl8vSSyUBJg6PI9AqfJBw8U0y9J3kY&ab_channel=InfiniteCodes 

### 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

Szymon Omieciński

HTMX

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Community Picks

Switching to a career in machine learning or data science can be challenging. Key takeaways include understanding the importance of mastering fundamentals over trendy tools, handling imposter syndrome, emphasizing data pre-processing, understanding the business problem fully, and continuously learning and adapting to new advancements. Collaboration and communication skills are essential, as well as practical experience with real-world data projects. Networking plays a crucial role in career growth.