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Related lectures (32)

Functional Programming: Concepts and Implementation

Covers the concepts and implementation of functional programming in Scala, emphasizing functions, immutable data, and data abstraction.

Program Optimizations and Abstract Interpretation Idea

Covers program optimizations, abstract interpretation, algebraic transformations, and interval analyses.

Recursive Functions: Substitution Interpreter

Covers the implementation of recursive functions using substitutions and environments, showcasing the ability to execute computable functions.

Higher-Order Functions

Covers higher-order functions, function types, and anonymous functions in programming.

Loops: Control Statements and Functions

Covers modeling control statements with functions in Scala, including while loops, repeat loops, and for-loops translation.

Compiler Extension Lab

Covers the Compiler Extension Lab, focusing on adding new functionality to a simple functional language compiler.

Linear Regression: Multicollinearity, Outliers, Model Specification

Covers multicollinearity, outliers, model specification, and practical strategies in linear regression.

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 Structures and Functions

Covers the basics of tuples, lists, sets, linear types, conversions, dictionaries, and defaultdicts.

Programming Paradigms: Functional, OOP, Polymorphism

Explores programming paradigms like procedural, functional, and OOP, with examples in Python.

Python/NumPy Primer

Introduces Python basics and NumPy for scientific computing, covering data types, functions, arrays, indexing, and common operations.

Linked Lists: Implementation and Iteration

Covers the implementation of linked lists in Java, focusing on operations and testing.

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