Juan De Dios Santos (Page 3)

Juan De Dios Santos

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Sorry, but your cat or dog AI is damaging the world.

artificial intelligence

Sorry, but your cat or dog AI is damaging the world.

Summarizing the “Green AI” paper

Interpreting 270862 Fitbit footsteps using time series analysis with Prophet

Interpreting 270862 Fitbit footsteps using time series analysis with Prophet

Learning how much I walk during my 24 days in Malaysia

Writing is making me a better engineer

Writing is making me a better engineer

The effects a single article had in my career

What did Puerto Rico say after its governor resigned? A Twitter data analysis

What did Puerto Rico say after its governor resigned? A Twitter data analysis

Interpreting tweets containing the hashtag #RickyRenunció using spaCy, Google Cloud, and NLP. The island of Puerto Rico and its people are currently making history. On July 13, the Puerto Rico’s Center for Investigative Journalism [http://periodismoinvestigativo.com/] published a document consisting of 889 pages of Telegram [https://en.wikipedia.

Dear Random Forest

Dear Random Forest

A letter to my favorite algorithm.

Analyzing tweets from the controversial Pokemon-related #BringBackNationalDex hashtag with spaCy and Google Cloud

Analyzing tweets from the controversial Pokemon-related #BringBackNationalDex hashtag with spaCy and Google Cloud

Discovering the top part-of-speech terms, sentiment, and mentioned Pokemon with the NLP library spaCy and Google Cloud

More focus and desire to finding answers, and less hype

My view on why newcomers should focus on the basics and on the true meaning of working with data

Reliving Avengers: Infinity War with spaCy and Natural Language Processing

Discovering the top nouns, verbs, entities and text similarity within the spoken lines of Earth’s Mightiest Heroes

Am I going to listen to Potato Salad today?

Using data, statistics and machine learning to make sense of my obsession with this song Please bear with me because this will sound crazy. There is this song by Tyler, The Creator, and A$AP Rocky, named Potato Salad, and I like it. My girlfriend says I play a lot,

On how I acknowledge human based bias and how to handle it

A word on how we, data practitioners, should be more aware and attentive to our own biases -------------------------------------------------------------------------------- (story originally posted on Medium [https://towardsdatascience.com/on-how-i-acknowledge-human-based-bias-and-how-to-handle-it-933479a623fa] ) In the world of data science, we define bias as the phenomenon in which a system overgeneralize from its data and learn the

Building a League of Legends team recommender in Go

How to build a recommender system from scratch, and deploy it in the cloud Ever since the boom of machine learning started, many aspects of our online lives have become a target of it. In particular, one of its primary use cases — recommender systems— have become so prevalent in our

Spammers vs Data @ PyData Warsaw 2018

Spammers vs Data @ PyData Warsaw 2018

On November 19, 2018 I presented a talk regarding Antispam at PyData Warsaw 2018. Unlike last year's presentation, which was about a personal project, this year I decided I talked about spammers, data and about my role I play as a Spammer Fighter or Software Engineer Big Data (as my

What was Puerto Rico Googling during and after Hurricane Maria?

What was Puerto Rico Googling during and after Hurricane Maria?

Hurricane Maria left most of Puerto Rico dark and nearly uncommunicated. Under such circumstances, I assumed that the country's Google Search patterns would change. In this article, I explore this.

Pikachu Detection System Talk @ PyData Amsterdam 2018

Pikachu Detection System Talk @ PyData Amsterdam 2018

On May 26, 2018 I had the fantastic opportunity of presenting my Pikachu detection project at PyData Amsterdam 2018. The experience was a great one (to be honest it's been my favorite presentation so far), and the lessons learned were even better. I'd like to thanks the whole organisation of

Detecting Pikachu in videos using TensorFlow Object Detection

Detecting Pikachu in videos using TensorFlow Object Detection

The second part of my Pikachu Detection project is about improving the model I previously trained during the first iteration of the project, and making said model able to detect Pikachu from videos. The article explained the experiment is available on Medium: Detecting Pikachu in videos using TensorFlow Object Detection

Spotify Analysis Talk @ MLDD Meetup

Spotify Analysis Talk @ MLDD Meetup

On March 20 I had the chance of presenting my Spotify experiments at the Machine Learning Dresden Meetup. Even though it was late, cold and dark, the audience was great and very active in the discussion, which made everything way better. Thanks to everyone who assisted, and to the organizing

Welcome

My name is Juan, a data and machine learning practitioner and in this blog, I will share my experiments and projects, in addition to other data-related content.

Detecting Pikachu on Android using Tensorflow Object Detection

First part of my Pikachu Detection project. Report is available at my Medium page: https://towardsdatascience.com/detecting-pikachu-on-android-using-tensorflow-object-detection-15464c7a60cd

Discovering similarities across my Spotify music using data, clustering and visualization

This article, which is the second part of my Spotify series, is about exploring my music taste using unsupervised learning. You can read it here: https://towardsdatascience.com/discovering-similarities-across-my-spotify-music-using-data-clustering-and-visualization-52b58e6f547b

Is my Spotify music boring? An analysis involving music, data, and machine learning

In this article I am comparing my music tastes with those of my girlfriend. The analysis include topics such as exploratory data analysis, supervised learning and some fun topics. The article can be found at: https://towardsdatascience.com/is-my-spotify-music-boring-an-analysis-involving-music-data-and-machine-learning-47550ae931de

Doing Machine Learning (K Nearest Neighbors) in a Messenger Chatbot

This project is about Facebook Messenger chatbot I built that trains a k-nearest neighbor model. Link to the article: https://chatbotnewsdaily.com/doing-machine-learning-k-nearest-neighbors-in-a-messenger-chatbot-58f0d261a17f

Pokemon, Colors, and Deep Learning

This blog post explains how I built a convolutional neural network to predict the type of a given Pokemon. The whole story is available at: https://medium.com/@jdiossantos/pokemon-colors-and-deep-learning-95fb715be46

9 days of Pokemon Go — a statistical analysis

-------------------------------------------------------------------------------- (this story was originally published on Medium: https://medium.com/@jdiossantos/9-days-of-pokemon-go-a-statistical-analysis-3bbad8aaedc2 ) Pokemon Go is finally out. Like every 90’ kid (and as a huge fan of the series), I have spent a considerable amount time catching our beloved digital creatures. However, besides spending battery life and swiping my