I am a mechatronics engineer who is interested in the integration of learning models in mobile devices, virtual and augmented reality devices, robotic arms, voice assistants, etc., using high and low level programming languages. To achieve the above is that once I had finished the university subjects, I dedicated myself to learning algorithms and data structures with C++, also practice a little bit with OpenCV. Then I took four courses related to Machine Learning, Deep Learning and Data Science. In which I learned data cleaning techniques, the most used algorithms for supervised, unsupervised and reinforcement learning, the most used neural network structures, also the different types of metrics that are used to determine that a model is learning.While I was designing the Thesis, I read the first 10 chapters of a probability and statistics book to review the concepts; This is because I accidentally threw away my notebook, but anyway, once I finished the that, I was able to learn the most important concepts of natural language processing (NLP).