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Related lectures (31)

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Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.

Data Science Visualization with Pandas

Covers data manipulation and exploration using Python with a focus on visualization techniques.

Structures and Mechanisms: Opening a Box

Explores the analysis of structures and mechanisms through a sample problem of opening a box with a string-held lid.

Decision Tree Classification

Covers decision tree classification using KNIME Analytics Platform for data preprocessing and model creation.

Drone Imaging Analysis

Explores drone imaging analysis using Meshroom software for civil engineering applications.

General Introduction to Data Science

Offers a comprehensive introduction to Data Science, covering Python, Numpy, Pandas, Matplotlib, and Scikit-learn, with a focus on practical exercises and collaborative work.

Data Wrangling with Hadoop: Storage Formats and Hive

Explores data wrangling with Hadoop, emphasizing storage formats and Hive for big data processing.

Turbulence: Numerical Flow Simulation

Explores turbulence characteristics, simulation methods, and modeling challenges, providing guidelines for choosing and validating turbulence models.

General Introduction to Big Data

Covers data science tools, Hadoop, Spark, data lake ecosystems, CAP theorem, batch vs. stream processing, HDFS, Hive, Parquet, ORC, and MapReduce architecture.

Digital Image Correlation: Practical

Focuses on the practical application of Digital Image Correlation for civil engineers, covering measuring displacement fields and computing strain fields.