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Related lectures (27)

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Covers model compression techniques to enhance the efficiency of large language models in production settings.

Scaling up: Spark and Big Data

Explores the challenges of big data processing and introduces Spark as a solution.

Causal Analysis of Observational Data

Covers causal analysis of observational data, pitfalls, tools for valid conclusions, and addressing confounding variables.

Data Visualization: Principles and Techniques

Covers principles and techniques of data visualization, emphasizing storytelling, anomaly detection, and effective communication of results.

Model Compression: Techniques for Efficient NLP Models

Explores model compression techniques in NLP, discussing pruning, quantization, weight factorization, knowledge distillation, and attention mechanisms.

Designing Pavilion Structures

Explores the design process of pavilion structures, emphasizing the creation of a topological polyhedron as the foundation document.

Designing Experiments and Measuring Learning

Explores experimental design challenges in social sciences, emphasizing hypothesis formulation, variable control, and bias mitigation.

Machine Learning: Features and Model Selection

Delves into the significance of features, model evolution, labeling challenges, and model selection in machine learning.

Geometry: Introduction to Euclidean Elements

Explores the historical evolution of geometric instruments and the transition to modern CAD software for architectural design.

Alternative Proteins: Fermentation and Applications

Delves into the use of fermentation for alternative protein production, emphasizing sustainable and innovative food technologies.

Stéréotomie: Vousssoirs and Collaborative Work

Covers the organization of the course, creation of voussoir components, collaborative work, and selection of group components.

Data Science Fundamentals

Covers the fundamentals of data science, the scientific method evolution, the role of a data scientist, and the significance of data as the new oil.

Stéréotomie: Modeling Stone Structures

Covers the modeling of stone structures, collaborative work, and systematic document management for student projects.

Describing Data: Statistics and Hypothesis Testing

Covers descriptive statistics, hypothesis testing, and correlation analysis with various probability distributions and robust statistics.

Symmetries of Regular Polyhedra

Explores the historical background and significance of symmetries in regular polyhedra, shedding new light on Euclid's Elements.

Geometric Projects Review

Reviews geometric projects, exploring varying panel sizes and complex geometries.

Division in Extreme and Mean Ratio: DEMR

Explores Division in Extreme and Mean Ratio (DEMR) for geometric constructions and its historical significance in art and architecture.

Complexity of Algorithms: Big-O Notation

Explores algorithm complexity, big-O notation, induction, recursion, and analysis of running times, covering NP problems and complexity classes.

River Hydraulics and Flood Protection Measures

Explores sustainable flood protection measures, historical river corrections, hazard analysis, and risk assessment in hydraulic flow management.

IT Solutions for Business Alignment Log in to Mediaspace to watch this video

Covers solutions for aligning business and IT through information modeling, RFP/RFT, and low-code platforms.