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Chapter 2-3º |Inglés | English|


Formación complementaria en inglés | Complementary training in English


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Contents
En.2.3.1.- Video tutorial on how to Learn Python in one video, Derek Banas
En.2.3.2.- Video tutorial: Learn JavaScript - Full Course for Beginners, CodeCamp.org
En.2.3.3.-  Biotechnology
En.2.3.4.- Linear algebra
En.2.3.5.- Probability
En.2.3.6.- Physics

| Autor / Author: Juan Antonio Lloret Egea | Miembro de la Alianza Europea para la IA / Member to the European AI Alliance |https://orcid.org/0000-0002-6634-3351|© 2019. Licencia de uso y distribución / License for use and distribution: creative commons CC BY-NC-ND. | Escrito / Writed: 14/07/2019. Actualizado / Updated: 17/08/2019 |ISSN 2695-3803|


En.2.3.1.- Introduction

In this section the different complementary elements that the author considers necessary for a correct approach to the world of artificial intelligence will be exposed.


Perhaps you have already reached a conclusion if you are starting with artificial intelligence: And what programming framework do I use?Well, if you have considered PyTorch (for research purposes) or TensorFlow (for production in Google Cloud) you should start by knowing the Python programming language.

En.2.3.2-1.- Video tutorial on how to Learn Python in one video, Derek Banas



En. Fig. I A . C2.3.1- URL: https://youtu.be/N4mEzFDjqtA


En.2.3.2.- Video tutorial: Learn JavaScript - Full Course for Beginners, CodeCamp.org



En. Fig. I A . C2.3.2- URL: https://youtu.be/PkZNo7MFNFg


En.2.3.3.-  Biotechnology


If you are not a professional with knowledge about biochips, biotechnology and are interested in acquiring the basic knowledge to be able to enter that area, this training will allow you to interact with it in an initial and basic way. Access to training. (It is a good idea to take a look at this experienced opinion on 'Data Science' as well).


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En. Fig. I A . C2.3.3- URL El País: http://cort.as/-N0oe 


En.2.3.4.- Linear algebra


A career as a developer in artificial intelligence and machine learning forces us to have general mathematical knowledge about linear algebra. On the other hand, this knowledge will be very easily recognizable by engineers because it is usually customary to involve them in the first course of their technical career. Access to training.


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En. Fig. I A . C2.3.4- URL: https://www.khanacademy.org/math/linear-algebra


En.2.3.5.- Probability


A career as a developer in artificial intelligence and machine learning forces us to have general mathematical knowledge about statistics for statistical probability analyzes.


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En. Fig. I A . C2.3.5- URL: https://www.khanacademy.org/math/statistics-probability/probability-library 


En.2.3.6.- Physics


Many concepts of physics intermingle in the world of robotics. Therefore it is important to enter them.


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En. Fig. I A . C2.3.6- URL: https://www.khanacademy.org/science/physics 


© 2019. Licencia de uso y distribución / License for use and distribution: creative commons CC BY-NC-ND |ISSN 2695-3803|


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