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Related lectures (31)
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Introduction to Data Science
Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
Matlab Programming: Script and Function
Explores Matlab programming with scripts and functions, vectorization, and 2D graphics.
Introduction to Programming: First Steps
Covers the basics of programming, including the development cycle of a program, strong typing, data storage in Java variables, and primitive data types.
Programming Concepts: Variables and Expressions
Covers fundamental programming concepts such as algorithms, variables, and expressions in C++.
Programming for Engineers
Introduces a programming course for engineers, emphasizing the importance of mastering multiple languages for future projects.
Introduction to R Programming for Genetics & Genomics
Introduces a course on Genetics & Genomics, focusing on R programming with interactive exercises.
File Management and Exception Handling in Python
Focuses on file management and exception handling in Python programming.
FPGA Programming with Speedgoat: Real-Time Signal Processing
Focuses on implementing a square function generator using Speedgoat FPGA technology and real-time signal processing techniques.
R Programming: Conditions, Loops, Functions & Graphics
Covers conditions, loops, functions, and graphics in R programming with practical examples.
Air Pollution Data Analysis
Covers the analysis of air pollution data, focusing on R basics, visualizing time series, and creating summaries of pollutant concentrations.
