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Extensive experience on R+D, design and development of computational models, scientific computing (Computer Vision, AI, ML, DL), Parallel Computing (MPI, OpenMP, others), Information Systems and GIS. Fortran 95, C++ and Python Programming. Legacy Programs: VisualBasic, VisualFox. Databases: Postgresql, MySQL, Informix. MS Access, others. Civil Engineer (Hydraulics, Structures, Transport). Knowledges in System Engineering. Candidate to Doctor of Engineering Sciences at UCV.
In part 1, I began learning some basic libraries for computer vision, (OpenCV, Numpy) in the hopes that it will help me transition into my company’s workflow. After becoming familiar with the…
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Understanding difference between Artificial Intelligence, Machine Learning and Deep Learning! And get to know their different types.
These third-party libraries are an essential part of any AI developer’s toolkit.
Goal: To build Machine Learning algorithms in python without using any over-the-shelf ML library like SKLearn or Tensorflow. Intend to cover Linear Regression, Logistic Regression, KNN, K-Means…
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