Demystifying #AI — Explained in One Picture! +plus you can find more #DataScience & #MachineLearning "Explained in One Picture" articles and #infographics at bit.ly/2nhJXiz at @DataScienceCtrl #abdsc #DAIFE #BigData #DeepLearning #NeuralNetworks #Algorithms #Statistics

This is the goal of a true #DataScientists: Explain the data through a good narrative, Enlighten the numbers using self-explanatory graphs, Engage the audience while telling a story to remember. We can make a Change #AI #MachineLearning

Announcing the Winners of the 1st Shiny Contest 136 submissions, 4 winners, 6 runners-up, and 21 honorable mentions. See some of the great work shared by the #shiny developer community. buff.ly/2uLsxzh

#BreakTime #Nature #Getaway

Last year “Python” was Googled more in the US than “Kim Kardashian.” #themoreyouknow #PyCon2019 superuser.openstack.org/articles/pytho…

#ArtificialIntelligence #BigData #MachineLearning #ML #AI

Check out my latest article: La búsqueda de empleo es un trabajo a tiempo completo, pero la experiencia puede ser menos dolorosa tanto para las empresas como para los candidatos linkedin.com/pulse/la-b%25C… vía LinkedIn

#MachineLearning

😂 👏👏👏 I needed this #AI laugh! Thanks, BURKOV.

Iré al evento gratuito "Empleo y Formación en IA & Data", organizado por AI-Network el día 30 de mayo de 2019 en el #iLAB. Si vas a ir, escríbeme y nos vemos. Info e inscripción: ai-network.org/evento/ #ArtificialIntelligence #BigData #DataScience Miguel Ángel González-Gallego

Never forget where you came from #AIFun

Python leads the 11 top Data Science, Machine Learning platforms: Trends and Analysis buff.ly/2Wwu4bH

As you increase the number of features or decrease the number of examples in your original data set this problem becomes worse because there is a higher chance to see spurious correlations. Select features using your training set, not all your data!

Trained a Neural Net xkcd.com/2173/ m.xkcd.com/2173/

Just landed in Madrid flying from San Francisco and traveling around the USA where I lived for 20 years and I frequently work. The San Francisco vs Madrid change makes me wonder.

😰

Computer-generated love letters, from 1953 vs. today. bit.ly/LoveLetter1953 bit.ly/AILoveLetter20… #WhoWoreItBetter #GPT3 (v/Science and Industry Museum & Vladimir 裏地見る Alexeev) #TBT

:D

If you don't remember retweeting this, it means that you have leaked your Twitter Access Token in a public GitHub repository. Not the best practice, right? For details, read our latest article: link.medium.com/L1VvZmhb5mb #InfoSec #CyberSecurity #GitHub