Will I draw a Battle VIP Pass? Exploring the probabilities of the Pokémon Trading Card Game Using math to improve my game.
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
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.
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 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
wander data Interpreting 135 nights of sleep with data, anomaly detection, and time series Three things are certain in life: death, taxes, and sleeping. Here, we’ll talk about the latest. Every night*, us humans, after a long day of roaming this Earth, are
opinion On the sensationalism of artificial intelligence news When AI articles misinform and mislead.
wander data How (and why) I built an over-complicated data-driven system to remind me to drink water Data, Golang, Python, Android, Docker, gRPC, Firebase, Cloud, BigQuery. Oh my!
