Homepage
Open in app
Sign in
Get started
.
Follow
María Gómez Galzerano
Sep 9, 2021
Exploratory methodology to untap value of AI/ML solutions
Some tools and ideas to guide exploration of…
Read more…
39
Latest
Optimización bayesiana para balancear precisión y equidad en modelos de ML
Optimización bayesiana para balancear precisión y equidad en modelos de ML
Supongamos por un minuto que queremos automatizar la asignación de sueldos a las trabajadoras y trabajadores de Chile 😱. Lo primero que se…
Milo
Aug 20, 2021
Anomalies detection using River
Anomalies detection using River
From a proof of concept to predicting millions of transactions
Matias Aravena Gamboa
Jul 29, 2021
Data Studio: We can do much more than it seems
Data Studio: We can do much more than it seems
Some ideas to make better use of this tool and explore many more visualizations than you imagine!
Emi
May 27, 2021
Latest
Convolutional Neural Networks on Tabular Datasets (Part 1)
Convolutional Neural Networks on Tabular Datasets (Part 1)
Using CNNs on tabular datasets is not straight forward. In this article we will review a novel network architecture that makes this…
Martín Villanueva
Apr 29, 2021
Distribution visualizations for data science
Distribution visualizations for data science
As data scientists, we have to decide what features to use in a certain machine learning problem. We often take every feature we have…
Milo
Apr 16, 2021
Dark side of the (data) force #1: Fear
Dark side of the (data) force #1: Fear
At Spike we are used to frequently read internet articles and academic papers showing all the great stuff that data scientists can do…
Robert Cercós
Apr 8, 2021
Latest
How Notion made me and my team more efficient
How Notion made me and my team more efficient
It seems rather obvious that meetings should have a clear goal and visible minutes for all participants. It also seems evident that, when…
Angélica Córdova
Mar 19, 2021
nonconformist: An easy way to estimate prediction intervals
nonconformist: An easy way to estimate prediction intervals
Uncertainty for single predictions is an important issue in machine learning nowadays, specially when a wrong prediction could bring bad…
Maria Jesus Ugarte
Mar 10, 2021
Time series parameters finding using Prophet and Optuna bayesian optimization
Time series parameters finding using Prophet and Optuna bayesian optimization
A smart way for training time series models using prophet and optuna libraries for creating additive models and finding their optimal…
Pipe Salas Bravo
Feb 19, 2021
About spikelab
Latest Stories
Archive
About Medium
Terms
Privacy
Teams