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Related lectures (32)

Explores LJ and EAM interatomic potentials, fitting to material properties and challenges in empirical potential fitting.

Data Science for Engineers: Part 2

Explores data manipulation, exploration, and visualization in data science projects using Python.

Hermite Normal Form

Covers the Hermite Normal Form, a method to transform a matrix into a specific form.

Error Analysis and Interpolation

Explores error analysis and limitations in interpolation on evenly distributed nodes.

Big Data Ecosystems: Technologies and Challenges

Covers the fundamentals of big data ecosystems, focusing on technologies, challenges, and practical exercises with Hadoop's HDFS.

Boolean Types and Control Structures

Explores boolean types, logical operators, and control structures in Python, emphasizing the evaluation of expressions and the use of relational operators.

Regression: High Dimensions

Explores linear regression in high dimensions and practical house price prediction from a dataset.

Linear Differential Equations

Covers the solution of linear differential equations, focusing on complex solutions and diagonalizable matrices.

Numerical Analysis: Jupyter Notebook Tutorial

Covers course organization, Jupyter Notebook for Python experimentation, algorithms, interpolation, solving equations, linear systems, and practical applications.

Python Lists: Manipulation and Comprehension

Covers Python list manipulation and comprehension, emphasizing memory representation and mutability.

Coq Workshop: Inductive Data Types and Proofs

Covers the definition of an inductive data type in Coq and how to build proofs interactively using tactics.

Introduction to Renku

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

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