Modern NLP: Project Description

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Related lectures (32)

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Google Analytics 4: Understand & set up GA4

Introduces Google Analytics 4 and guides on setting it up for WordPress websites, emphasizing key differences and event tracking.

Human Behavior in Economics

Covers methods in economic research, group projects, scientific method, and challenges in applying research findings.

Research Design: Intermediate Variables

Emphasizes specificity in defining variables and the importance of incorporating intermediate variables in educational studies.

Logistic Regression: Vegetation Prediction

Explores logistic regression for predicting vegetation proportions in the Amazon region through remote sensing data analysis.

Designing Learning Experiences: CS411 Class Project

Introduces the CS411 Class Project, where students design and test a lesson using learning theories.

Introduction to Renku

Introduces Renku, a platform for collaborative data science, emphasizing reproducibility, shareability, reusability, and security.

Gender, Sex & Intersectionality: Chapter 2

Explores the significance of intersectional gender analysis in implementation research for diseases of poverty, emphasizing transformative goals and inclusivity.

Applied Machine Learning

Introduces applied machine learning concepts such as data collection, feature engineering, model selection, and performance evaluation metrics.

Data Issues in Research

Explores challenges in data assumptions, biases, and more in research, including incomplete write-ups and frustrations of newcomers.

Data Annotation: Collection and Biases in NLP

Addresses data collection, annotation processes, and biases in natural language processing.