S27:E3 - Helping You Build Machine Learning Products (Pau Labarta Bajo)
CodeNewbie
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Navigating Freelance Machine Learning Challenges
The chapter delves into the challenges of freelancing as a machine learning engineer, emphasizing the need to understand business problems, collaborate with data engineers, and showcase practical projects. It highlights the importance of mastering boosted tree regressors, deploying models, and staying updated on advancements in the field. The speaker also shares insights on transitioning to a job in machine learning, building ML products independently, and starting an educational platform for real-world machine learning skills.
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