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Related lectures (32)
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Deanonymization Exercise
Explores deanonymization using public datasets from Netflix, focusing on matching users and evaluating films based on ratings.
Spark DataFrames: Basics and Optimization
Covers the basics of Spark DataFrames, their advantages, performance comparison with RDDs, and practical demos.
Automating Scanning Probe Microscopy: Techniques and Applications
Covers the integration of machine learning with scanning probe microscopy for enhanced automation and efficiency in scientific workflows.
Data Analysis to AI and ML, Social Media
Explores the evolution from data analysis to AI and ML, emphasizing big data, machine learning, and social media interaction.
Atomistic Machine Learning: Physics and Data
Explores Atomistic Machine Learning, integrating physical principles into models to predict molecular properties accurately.
Neural Signals and Signal Processing
Covers neural signals, brain enthusiasm, neuroimaging, and statistical analysis in neuroimaging studies.
Handling Data: Intro to Pandas
Introduces the fundamentals of handling data, emphasizing the importance of Pandas and data modeling for effective analysis.
Internship Insights: Enhancing Code Generation with LLMs
Details an internship project focused on improving code generation accuracy using large language models and a new framework called EPIGEN.
Gender, Sex & Intersectionality: Chapter 2
Explores the significance of intersectional gender analysis in implementation research for diseases of poverty, emphasizing transformative goals and inclusivity.
Headline Analysis: Language Impact & Success
Explores the influence of language on headline success through real-world data analysis and statistical testing.