2min chapter

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Ines Montani: Explosion, NLP, Generative AI, Entrepreneurship | Learning from Machine Learning #7

Learning from Machine Learning

CHAPTER

The Importance of Labeling Data and Combining Large Models with Specific Models

This chapter explores the significance of labeling data and utilizing basic methods to create a model, including unsupervised learning and data labeling for improved performance. The authors recommend scikit-learn and support vector machines as baseline models for faster production, while highlighting the trade-offs of large models and the benefits of combining their strengths with training specific models.

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