Understanding Bias in Data Science
Bias in data science is like a silent operator. It exists subtly in many forms, from data collection to interpretation, and if not checked, it can derail the objectivity and reliability of your analyses.
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A Beginner’s Guide to Feature Engineering with Python: Creating Relevant Features
n this tutorial, we will delve into the basics of feature engineering with Python and how to create relevant features.
3 Python Tips that Machine Learning Engineers Should Know
In this article, we will walk you through three Python tips that every machine learning engineer should have in their toolkit.
Bias-Variance Trade-off: Modern Relevance
This fundamental principle is crucial in comprehending the limitations and potential of any data analysis, and it plays a critical role in modern data science.
Prompt Engineering for ELIZA [eBook]
Are you seeking to explore the comical intersections of historic AI and modern language models? Our ebook, Prompt Engineering for ELIZA, promises a unique blend of education and entertainment that explores the fundamentals of AI and prompt engineering through the lens of ELIZA, a 1960s chatbot.