fbpx
Watch: Challenges and Opportunities in Applying Machine Learning Watch: Challenges and Opportunities in Applying Machine Learning
There are many opportunities in applying machine learning, whether as an individual developer or in a business. But how do you get started? This... Watch: Challenges and Opportunities in Applying Machine Learning

There are many opportunities in applying machine learning, whether as an individual developer or in a business. But how do you get started? This talk provides 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. It emphasizes how improvements in processes can significantly outweigh algorithmic improvements. Some of the features examined are data collection and quality, definitions used (e.g, for labeling), metrics, objective functions, overfitting, and the cost of different types of errors, among others.

[Related Article: What are MLOps and Why Does it Matter?]

ODSC Team

ODSC Team

ODSC connects you to the world’s largest community of practicing data scientists, AI experts, and industry executives. Our data science conferences in Boston, San Francisco, London, and other locations attract thousands of data science attendees. Our co-located CxO Summit and AI Expo is a magnet for top executives from some of the world’s largest companies seeking solutions.

1