Welcome to the cutting edge of computer programming. A great place to start? Our Machine Learning Crash Course (MLCC). Once you have the basics down, ramp up your skills by applying ML techniques to big datasets in real-world competitions. Other paths take you further into data science, and innovative ML approaches like deep learning and neural networks.
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Learning from the Best
Climb the leaderboard with advice from Kaggle masters. This 2014 blog post summarizes their approaches and insights to performing well in competitions. You'll get tips on model complexity, overfitting, feature engineering, ensembling, and success metrics.Open link