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
Javier y Federica comienzan una nueva aventura
Les quiero contar una historia que me contaron hace poco dos jovencitos, Javier y Federica, que viven en el año 2030.
El misterioso “R”
Javier habla muy rápido y Federica interviene para que yo entienda lo que me cuenta.
Los viajeros del tiempo
Javier volvió a viajar al pasado ─sigue Federica mientras Javier se termina la cocoa.
Llegando a Montevideo en… ¡1930 y 2030!
Me da un poco de pena, porque la verdad es que estoy disfrutando muchísimo del cuento y quisiera que no se acabara nunca.
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