Can adding data hurt?

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Skills You'll Learn

Human-level Performance (HLP), Concept Drift, Model baseline, Project Scoping and Design, ML Deployment Challenges

Reviews

4.8 (1,031 ratings)

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AC

Jun 8, 2021

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I have been working in a large payments technology company for last one year and I can vouch for all the processes Andrew beautifully summarised. It does help a lot working in the industry.

DC

May 20, 2021

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Practical and well-structured advices throughout the lifecycle of ML. Examples from real world problems & experiences make the advices more tangible and helps to reflect on own problems.

From the lesson

Week 2: Select and Train a Model

This week is about model strategies and key challenges in model development. It covers error analysis and strategies to work with different data types. It also addresses how to cope with class imbalance and highly skewed data sets.

Taught By

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    Andrew Ng

    Instructor

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    Cristian Bartolomé Arámburu

    Curriculum Developer

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