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Introduction to Research Ethics: Working with People
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Exploring the impact of gamification and leaderboards on physical activity using Fitbit data. Reveals surprising benefits for sedentary users and potential drawbacks for highly active individuals.
Explore machine learning for signal processing, focusing on data compression and noise removal using PCA. Learn linear algebra applications and alternative techniques for effective data analysis.
Learn to build, train, and deploy custom image recognition models using Azure Custom Vision. Explore cloud-based machine learning for computer vision applications and consume models via Azure APIs.
Explore key data storage systems like Redshift, MySQL, PostgreSQL, and Hadoop. Learn their features, pros, cons, and ideal use cases to make informed decisions for your data infrastructure needs.
Explore NLP fundamentals, including language models, part-of-speech tagging, and word embeddings. Learn real-world applications and core technologies in this AI and linguistics subfield.
Explore best practices for managing machine learning experiments, addressing reproducibility, documentation, and code dependency issues to improve workflow efficiency and results.
Explore data engineering: goals, skills, tools, and its role in the data ecosystem. Learn how data engineers support data scientists and drive business success through effective data management.
Learn to approach data science projects from a business perspective, focusing on key questions and considerations before diving into tools and techniques.
Learn to automate web scraping in R for real-time data analysis. Covers periodic scraping, filtering timely content, text analysis, and setting up hourly email alerts for changing events and trends.
Explore AI applications for social good, addressing global challenges like poverty and healthcare access. Learn from real-world examples and discover untapped opportunities to make impactful change through data science.
Explore NLP basics, enterprise applications, and build a simple FAQ chatbot using Dialogflow. Learn about encoding words, intent creation, entities, and more in this comprehensive introduction.
Learn to create powerful data visualizations using R's ggplot2 package. Master customization, choose optimal charts, leverage segmentation, and export high-quality graphics for analysis and presentations.
Learn efficient data manipulation using dplyr in R. Master essential functions for filtering, aggregating, and joining datasets, enhancing your data analysis skills with practical examples.
Learn advanced dplyr techniques for feature engineering, including imputing missing values, creating new columns, and combining datasets. Master data manipulation skills to enhance your R programming toolkit.
Explore data science's ethical challenges, from systemic bias to machine learning ethics. Learn about past controversies and discover ways to create a more responsible future in this thought-provoking talk.
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