Lectura accesible
La novela en formato lectura accesible, es una nueva versión, en donde la escritora se transforma en un personaje más para formar parte de la aventura. Este nuevo formato, no solo se puede leer a través de textos escritos, sino que además va a estar acompañada de audios de la autora e imágenes inéditas. Además, contarán con un tipo de letra y separación especial para poder tener una lectura más ágil. Por último, los lectores podrán recorrerla seleccionando caminos alternativos, transformándose en un protagonista más de la historia.
Capítulos
Capítulo 1
Tomassino, Antonella, Javier y Federica por fin se encuentran. Están en 2030 y meriendan. Hace tiempo que no se ven, así que tienen mucho que contarse. ¡Pasó de todo!
Capítulo 2
Antonella y Tomassino se emocionancuando vieron Montevideo en 1930. Antonella, nerviosa, recuerda el momento en que se dieron cuenta de que estaban en el mismo lugar, no así al mismo tiempo.
Capítulo 3
Javier saca una carta que fascina a todos, Antonella se emociona y ansiosa le pregunta sobre el significado de aquel logo.
Capítulo 4
Ya quedan las últimas cartas del juego, Federica saca una y se pone palida.La carta dice: Final del mundo,2030.
Links de interés
¿Qué es AI?
- https://towardsdatascience.com/artificial-intelligence-what-is-it-actually-7733032083b1
- https://towardsdatascience.com/artificial-intelligence-ai-terms-simply-explained-745c4734dc6c
- https://www.geeksforgeeks.org/what-is-aiartificial-intelligence/
- https://towardsdatascience.com/artificial-intelligence-d1e45efc99b4
- https://towardsdatascience.com/what-do-you-know-about-artificial-intelligence-cd91cd3946dd
- https://medium.com/towards-artificial-intelligence/understanding-artificial-intelligence-8a040b911b12
- https://www.sas.com/es_ar/insights/analytics/what-is-artificial-intelligence.html
¿Que es Datascience?
- https://towardsdatascience.com/what-is-data-science-8c8fbaef1d37
- https://www.sas.com/en_us/insights/analytics/what-is-a-data-scientist.html
- https://www.geeksforgeeks.org/what-is-data-science/
- https://www.geeksforgeeks.org/overview-of-data-science/
- https://www.geeksforgeeks.org/introduction-to-data-science/
- https://www.geeksforgeeks.org/introduction-data-science-skills-required/
- https://www.geeksforgeeks.org/top-10-data-science-skills-to-learn-in-2020/
- https://www.master-data-scientist.com/que-es-masters-in-data-science/
- https://towardsdatascience.com/how-data-scientists-build-machine-learning-models-in-real-life-f1f333022fb7
- https://towardsdatascience.com/a-beginners-guide-to-data-scientist-67bbc7fc32c9
¿Qué es ML?
- https://medium.com/@prabhdeepsingh3499/what-is-machine-learning-9d646a900ac6
- https://www.geeksforgeeks.org/machine-learning/
- https://www.sas.com/en_us/insights/analytics/machine-learning.html
- https://medium.com/@harish_6956/what-is-machine-learning-deep-learning-7788604004da
- https://medium.com/towards-artificial-intelligence/differences-between-ai-and-machine-learning-and-why-it-matters-1255b182fc6
- https://medium.com/towards-artificial-intelligence/what-is-machine-learning-ml-b58162f97ec7
- https://towardsdatascience.com/what-is-machine-learning-a-visual-explanation-14642b90429f
- https://www.sas.com/es_co/insights/analytics/machine-learning.html
Aprendizaje Supervisado, ¿Qué es?
- https://www.sas.com/en_us/insights/articles/analytics/machine-learning-algorithms-guide.html
- https://www.geeksforgeeks.org/supervised-unsupervised-learning/
- https://www.geeksforgeeks.org/ml-types-learning-supervised-learning/
- https://www.geeksforgeeks.org/difference-between-supervised-and-unsupervised-learning/
- https://medium.com/@juanzambrano/aprendizaje-supervisado-o-no-supervisado-39ccf1fd6e7b
- https://towardsdatascience.com/supervised-vs-unsupervised-learning-14f68e32ea8d
Aprendizaje no supervisado, ¿Qué es?
- https://www.sas.com/en_us/insights/articles/analytics/machine-learning-algorithms-guide.html
- https://www.geeksforgeeks.org/supervised-unsupervised-learning/
- https://www.geeksforgeeks.org/ml-types-learning-supervised-learning/
- https://www.geeksforgeeks.org/difference-between-supervised-and-unsupervised-learning/
- https://medium.com/@juanzambrano/aprendizaje-supervisado-o-no-supervisado-39ccf1fd6e7b
- https://towardsdatascience.com/supervised-vs-unsupervised-learning-14f68e32ea8d
¿Qué es el reinforcement learning?
- https://medium.com/@SmartLabAI/reinforcement-learning-algorithms-an-intuitive-overview-904e2dff5bbc
- https://www.geeksforgeeks.org/what-is-reinforcement-learning/
- https://www.geeksforgeeks.org/ml-reinforcement-learning-algorithm-python-implementation-using-q-learning/
- https://www.geeksforgeeks.org/introduction-to-thompson-sampling-reinforcement-learning/
- https://www.geeksforgeeks.org/upper-confidence-bound-algorithm-in-reinforcement-learning/
- https://towardsdatascience.com/reinforcement-learning-for-everyone-9c1163f61440
- https://medium.com/@bootcampai/reinforcement-learning-aprendizaje-por-refuerzo-c34bb085bb5
¿Qué es una red neuronal?
- https://www.sas.com/en_us/insights/analytics/neural-networks.html
- https://www.geeksforgeeks.org/neural-networks-a-beginners-guide/
- https://www.geeksforgeeks.org/artificial-neural-networks-and-its-applications/
- https://towardsdatascience.com/what-is-a-neural-network-a02b3c2fe3fa
- https://towardsdatascience.com/understanding-neural-networks-19020b758230
- https://medium.com/@hammychang/whats-a-neural-network-f43a21638349
- https://medium.com/@williamkhepri/redes-neuronales-que-son-a64d022298e0
- https://medium.com/@eddydecena/entendiendo-las-redes-neuronales-part-1-fca3adf78c5b
- https://medium.com/@jcrispis56/una-introducci%C3%B3n-completa-a-redes-neuronales-con-python-y-tensorflow-2-0-b7f20bcfebc5
¿Qué es el natural language processing?
- https://www.sas.com/en_us/insights/analytics/what-is-natural-language-processing-nlp.html
- https://towardsdatascience.com/your-guide-to-natural-language-processing-nlp-48ea2511f6e1
- https://towardsdatascience.com/introduction-to-natural-language-processing-for-text-df845750fb63
- https://www.geeksforgeeks.org/introduction-to-natural-language-processing/
- https://www.geeksforgeeks.org/ml-natural-language-processing-using-deep-learning/
- https://www.geeksforgeeks.org/syntax-tree-natural-language-processing/
- https://towardsdatascience.com/roadmap-to-natural-language-processing-nlp-38a81dcff3a6
- https://medium.com/towards-artificial-intelligence/natural-language-processing-nlp-with-python-tutorial-for-beginners-1f54e610a1a0
- https://medium.com/pcmag-access/what-is-natural-language-processing-nlp-d9c09504c0bd
- https://www.sas.com/es_ar/insights/analytics/what-is-natural-language-processing-nlp.html
- https://www.aprendemachinelearning.com/procesamiento-del-lenguaje-natural-nlp/
¿Qué son los algoritmos de clasificación?
- https://medium.com/datadriveninvestor/classification-algorithms-in-machine-learning-85c0ab65ff4
- https://medium.com/edureka/classification-algorithms-ba27044f28f1
- https://medium.com/@codingpilot25/most-commonly-used-classification-algorithms-in-machine-learning-6504b778455d
- https://towardsdatascience.com/machine-learning-classifiers-a5cc4e1b0623
- https://www.geeksforgeeks.org/regression-classification-supervised-machine-learning/
- https://www.geeksforgeeks.org/getting-started-with-classification/
- https://www.geeksforgeeks.org/ml-classification-vs-regression/
- https://www.apd.es/algoritmos-del-machine-learning/
Primeros pasos para desarrollar un algoritmo usando python
- https://towardsdatascience.com/solving-a-simple-classification-problem-with-python-fruits-lovers-edition-d20ab6b071d2
- https://www.digitalocean.com/community/tutorials/how-to-build-a-machine-learning-classifier-in-python-with-scikit-learn
- https://developer.ibm.com/tutorials/learn-classification-algorithms-using-python-and-scikit-learn/
- https://machinelearningmastery.com/machine-learning-in-python-step-by-step/
- https://www.aprendemachinelearning.com/arbol-de-decision-en-python-clasificacion-y-prediccion/
- https://medium.com/towards-artificial-intelligence/machine-learning-algorithms-for-beginners-with-python-code-examples-ml-19c6afd60daa
Machine Learning y SPARK
- https://towardsdatascience.com/a-beginners-guide-to-apache-spark-ff301cb4cd92
- https://www.geeksforgeeks.org/introduction-pyspark-distributed-computing-apache-spark/
- https://www.geeksforgeeks.org/components-of-apache-spark/
- https://www.geeksforgeeks.org/pyspark-linear-regression-with-advanced-feature-dataset-using-apache-mllib/
- https://www.geeksforgeeks.org/pyspark-linear-regression-using-apache-mllib/
- https://towardsdatascience.com/the-what-why-and-when-of-apache-spark-6c27abc19527
- https://towardsdatascience.com/a-neanderthals-guide-to-apache-spark-in-python-9ef1f156d427
- https://medium.com/datos-y-ciencia/c%C3%B3mo-usar-pyspark-en-tu-computadora-dee7978d1a40
- https://medium.com/@crscardellino/procesando-datos-con-spark-i-configurando-apache-spark-y-apache-zeppelin-b8dbda672aa4
- https://medium.com/datos-y-ciencia/apache-spark-para-el-procesamiento-paralelo-de-big-data-r%C3%A1pido-f%C3%A1cil-1c132243cee0
Google Colab
- https://medium.com/deep-learning-turkey/google-colab-free-gpu-tutorial-e113627b9f5d
- https://towardsdatascience.com/10-tips-for-a-better-google-colab-experience-33f8fe721b82
- https://www.geeksforgeeks.org/how-to-use-google-colab/
- https://www.geeksforgeeks.org/how-to-run-python-code-on-google-colaboratory/
- https://www.geeksforgeeks.org/ways-to-import-csv-files-in-google-colab/
- https://www.geeksforgeeks.org/download-anything-to-google-drive-using-google-colab/
- https://medium.com/marvik/google-colab-tips-para-principiantes-e39d6e7051d4
- https://medium.com/@henry.ruiz.tamu/data-science-notes-introducci%C3%B3n-a-colab-14512f262c2d
¿Que es Tensorflow?
- https://medium.com/data-science-bootcamp/introduction-to-tensorflow-7be73a68e1
- https://towardsdatascience.com/tensorflow-a-hands-on-approach-8614372f021f
- https://www.geeksforgeeks.org/introduction-to-tensorflow/
- https://towardsdatascience.com/a-simple-introduction-to-tensorflow-d992eb2e3dbb
- https://medium.com/ai-learners/introducci%C3%B3n-a-tensorflow-parte-1-840c01881658
¿Que es Tensorflow?
- https://medium.com/edureka/pytorch-tutorial-9971d66f6893
- https://www.geeksforgeeks.org/deep-learning-with-pytorch-an-introduction/
- https://www.geeksforgeeks.org/linear-regression-using-pytorch/
- https://towardsdatascience.com/deep-learning-with-pytorch-a93b09bdae96
- https://towardsdatascience.com/what-is-pytorch-a84e4559f0e3
- https://medium.com/analytics-vidhya/not-torturing-in-learning-pytorch-b2f7f169923a
- https://medium.com/analytics-vidhya/not-torturing-in-learning-pytorch-b2f7f169923a
- https://medium.com/datos-y-ciencia/deep-learning-con-pytorch-672469c637f4
Regresión Lineal y el Machine Learning
- https://www.geeksforgeeks.org/ml-linear-regression/
- https://www.geeksforgeeks.org/linear-regression-using-pytorch/
- https://towardsdatascience.com/linear-regression-detailed-view-ea73175f6e86
- https://medium.com/all-about-ml/linear-regression-d41a6a5dcab6
- https://www.geeksforgeeks.org/linear-regression-python-implementation/
- https://www.geeksforgeeks.org/solving-linear-regression-in-python/
- https://www.geeksforgeeks.org/gradient-descent-in-linear-regression/
- https://towardsdatascience.com/the-complete-guide-to-linear-regression-analysis-38a421a89dc2
- https://towardsdatascience.com/simple-linear-regression-and-ols-introduction-to-the-theory-1b48f7c69867
- https://towardsdatascience.com/the-complete-guide-to-linear-regression-analysis-38a421a89dc2
- https://towardsdatascience.com/linear-regression-explained-in-5-minutes-5d643ca0a662
- https://medium.com/datos-y-ciencia/machine-learning-supervisado-fundamentos-de-la-regresi%C3%B3n-lineal-bbcb07fe7fd
- https://medium.com/@bootcampai/la-regresi%C3%B3n-lineal-pr%C3%A1ctica-9077bcd18583
- https://medium.com/@dtellogaete/regresi%C3%B3n-lineal-en-python-y-r-machine-learning-01-ff9d9077f8f
- https://medium.com/@rubialesalberto/regresi%C3%B3n-lineal-con-sklearn-bc61cf94c1e
- https://medium.com/iwannabedatadriven/machine-learning-modelos-de-regresi%C3%B3n-ii-18abc01a9848
- https://medium.com/edureka/pytorch-tutorial-9971d66f6893
¿Qué es K-means?
- https://towardsdatascience.com/understanding-k-means-clustering-in-machine-learning-6a6e67336aa1
- https://medium.com/@tarlanahad/a-friendly-introduction-to-k-means-clustering-algorithm-b31ff7df7ef1
- https://medium.com/bexs-test/text-clustering-with-k-means-a039d84a941b
- https://www.geeksforgeeks.org/k-means-clustering-introduction/
- https://www.geeksforgeeks.org/ml-determine-the-optimal-value-of-k-in-k-means-clustering/
- https://www.geeksforgeeks.org/analysis-of-test-data-using-k-means-clustering-in-python/
- https://towardsdatascience.com/k-means-a-complete-introduction-1702af9cd8c
- https://towardsdatascience.com/understanding-k-means-k-means-and-k-medoids-clustering-algorithms-ad9c9fbf47ca
- https://medium.com/@alcantararosas/k-means-programando-el-algoritmo-desde-cero-en-python-f633b3a1c125