Juan De Dios Santos

I like data, and writing about it. Pokemon Master, and wannabe photographer.

formula 1

Exploring what fans Googled during the 2023 Saudi Arabian Formula 1 Grand Prix

Discover the top F1 search queries during the Jeddah Grand Prix with our Google Trends analysis.

google trends

From DRS to Logan Sargeant: What people Googled during the Bahrain Formula 1 Grand Prix

Discovering what people wanted to know about Formula 1 during the 2023 Bahrain Grand Prix.

data analysis

Analyzing My Reddit Usage

A data-driven approach to achieving my New Year's Resolution of reducing my online time.

presentation

I gave a talk at my alma mater and loved it

An emotional talk from which three points stood out.

Will I draw a Battle VIP Pass? Exploring the probabilities of the Pokémon Trading Card Game

Using math to improve my game.

golang

A quick way to generate Go tests in Visual Studio Code

Click here to generate unit tests.

presentation

Why do I quantify my life with data? - a presentation

Presented at CarpentryCon 2022

Pokemon

How does Twitter feel about Pokemon Legends: Arceus?

Understanding tweets about the game using spaCy and Google Cloud's Natural Language AI API.

I’ve tracked my mood for over 1000 days—a data analysis

Using data to better understand what I did and how I felt

From TensorFlow to Beyond

Presented at DecompileD 2021

Two clicks to cluster and block thousands of spammers–a presentation

Presented at Berlin Buzzwords 2021.

Arduino

How to capture sensor data in an Arduino and read it in Python using PySerial

Getting sensor data out of an Arduino Nano 33 BLE.

A brief introduction to TensorFlow.js—a presentation

Presented at twentysix.

TinyML

Detecting Pokemon on an Arduino using TinyML and TensorFlow

Using colors to predict whether this is Pikachu or Bulbasaur

TensorFlow.js

Deploy a pre-trained TensorFlow.js model using Node in Cloud Run

Serving TensorFlow.js' Toxicity Detection model using Google Cloud.

machine learning

Learnings about handling fraud with data and machine learning

Anomaly detectors, rule-based systems, fallback options, and common sense.

Is a neural network better than Ash at detecting Team Rocket?—a presentation

Presented at PyData Global 2020

TensorFlow.js

My first book, Practical TensorFlow.js

My first book, Practical TensorFlow.js (Apress, 2020), is out! As the name indicates, the book aims to teach TensorFlow.js through practical exercises, which cover algorithms ranging from traditional machine learning to deep learning, e.g., linear regression, k-means, convolutional neural networks, and generative adversarial networks. Through hands-on examples,

machine learning

Trying Android's NNAPI ML accelerator with Object Detection on a Pixel 4 XL

Testing and comparing Android's ML acceleration with a MobileDet model.

TensorFlow.js

Is a neural network better than Ash at detecting Team Rocket? If so, how?

Training CNNs in TensorFlow, object detection models in Google Cloud, and visualizing activation maps in TensorFlow.js.

TensorFlow Go

Using TensorFlow Go to serve an object detection model with a web service

Building a web service to serve a MobileNet object detection model with TensorFlow Go.

Anomaly Detection

Interpreting my 7-Eleven visits with hierarchical clustering, anomaly detection, and time series

Learning more about me with Foursquare data

Spam

Cooking data: BigQuery ML vs the online dating spam

Watch Felipe Hoffa — Google Cloud's BigQuery Advocate Developer — and I talk about spam, Big Query, and ML in a video we did some time ago. In the interview, I described how we leveraged BigQuery to fight the spammers at LOVOO.

puerto rico

Interpreting the 2020 Puerto Rico Earthquake Swarm with data

Using visualizations, maps, time series and Google Trends data to describe this event

wander data

How I Applied Machine Learning to Real Life for Planning My Trip to Hong Kong

Using k-medoids to figure out where I should visit on vacation