Pinned

1. CS-4710-Machine-Learning-II CS-4710-Machine-Learning-II Public

   Applies Deep Learning models to problems in a variety of application domains that use massive data sets, such as recommender systems, novel text, image and music generation, sentiment analysis. Imp…

   Jupyter Notebook 2

2. ECE-4850-Machine-Learning ECE-4850-Machine-Learning Public

   Uses techniques such as probability and statistics, linear algebra, and optimization to learn from and make predictions on data without human intervention. Covers the concepts behind several machin…

   Jupyter Notebook 2

3. Digtial-Signal-Processing Digtial-Signal-Processing Public

   Introduces the theory of digital signal processing and its application to practical problems. Covers spectrum representation, Nyquist sampling, z-transform, discrete Fourier transform, discrete-tim…

   C

4. MySQL MySQL Public

   Introduces the underlying theories of Relational Database Management Systems (RDBMS) as well as their practical use retrieving data using both embedded SQL and relational algebra.

   Python

5. Triangle-Similarity-Method Triangle-Similarity-Method Public

   Determining the distance from an object in a video has been extensively explored in image processing and computer vision fields. For DJI drones, we are working on a solution to compute the distance…

   Python

6. MoShekaramiz/Tello_Edu_Surrogated_Wind_Fram MoShekaramiz/Tello_Edu_Surrogated_Wind_Fram Public

   Python 1