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Data Preprocessing: Mastering Systematic Data Engineering for Better AI Systems

Data Preprocessing: Mastering Systematic Data Engineering for Better AI Systems

Created by

@OrderlyTriangle

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Study Flashcards Play Quiz

Questions and Answers

What is the main emphasis of the text regarding the importance of data in machine learning?

The quality of the model depends on the training data.

What is the key issue highlighted in the traditional machine learning workflow?

Limited focus on data preprocessing

What does traditional (model-centric) ML primarily focus on?

The best model for a given dataset

In real-world ML applications, what does the company or user not care about?

<p>The clever ML tricks used to produce accurate predictions</p> Signup and view all the answers

What problem arises due to erroneous data in machine learning?

<p>Deep neural networks easily fit random labels</p> Signup and view all the answers

What is the main goal of the data preprocessing course?

<p>Data Quality Enhancement</p> Signup and view all the answers

In the context of Model-centric AI vs Data-centric AI, what does Data-centric AI focus on?

<p>Improving the training dataset to improve performance on an AI task</p> Signup and view all the answers

According to the provided text, what did OpenAI openly state as one of the biggest issues with Dall-E and GPT-3?

<p>Errors in the data and labels used during training</p> Signup and view all the answers

What did ChatGPT aim to accomplish by fine-tuning?

<p>Minimizing harmful content</p> Signup and view all the answers

What is more worthwhile than tinkering with models according to a seasoned data scientist?

<p>Investing in exploring & fixing the data</p> Signup and view all the answers

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