Challenges and Opportunities in Applying Machine Learning – Alex Jaimes | ODSC East 2018
There are many opportunities in applying machine learning, whether as an individual developer, or in a business. How do you get started? In this talk, Alex gives an overview that separates fact from fiction and proposes processes to find opportunities for applying ML.
This includes understanding where ML can have the biggest impact while avoiding common pitfalls. He emphasizes how sometimes, improvements in processes can significantly outweigh algorithmic improvements. He examines data collection and quality, definitions used (e.g, for labeling), metrics, objective functions, overfitting, and the cost of different types of errors, among others.
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