Data Science

Dimensionality Reduction en

Dimensionality reduction – TSNE

t-SNE | T-distributed stochastic neighbor embedding The goal is to take a set of points in a high-dimensional space and find a faithful representation of those points in a lower-dimensional space, typically the 2D plane. The algorithm is non-linear and … Read More

dimensionality reduction en

What is Dimensionality Reduction?

A lot of Machine Learning problems consist of hundreds to thousands of features. Having such a large number of features poses certain problems. This problem is also sometimes known as The Curse of Dimensionality and Dimensionality Reduction or Dimension reduction … Read More

scopingdataprojects en

Scoping Data Science Projects

Scoping data science project is an iterative process and the scope gets refined both during the scoping process as well as during the project, however it is important to have an initial scope to have an idea of the project … Read More

cooperativeaiworkshop

Cooperative AI Workshop at Neurips 2021

This initiative appeared for the first time last year with the same name at Neurips 2020. The high level perspective paper of Open Problems in Cooperative AI presented on the website offered a general overview of the main challenges that … Read More

neurips2021

Cooperative Multi-Agent Reinforcement Learning and QMIX at Neurips 2021

Authors: Gema Parreño, David Suarez (Apiumhub).  Thanks to: Alberto Hernandez (BBVA Innovation Labs) The following blogspot aims to do an introduction about Cooperative MARL  and goes through innovations by S. Whiterson Lab, with QMIX (2019)  their current contributions for #Neurips2021. Going through this article … Read More

RLworkshop en

Reinforcement Learning Workshop with Apiumhub, BBVA & Facebook

We are incredibly proud to announce that we are organizing a Reinforcement Learning Workshop with Data Scientists from Apiumhub, BBVA & Facebook.  About Reinforcement Learning Workshop Save the date! The online workshop will be held on Zoom on December 2nd. … Read More

matplotlib en

Getting Started with Matplotlib – Lesson 1

Introduction Visualization as a tool takes part of the analysis coming from the data scientist in order to extract conclusions from a dataset. In today’s article we are going to go through Matplotlib library. Matplotlib is a third-party library for … Read More

numpy en

Getting Started with Numpy – Lesson 1

Introduction NumPy is a third-party library for numerical computing, optimized for working with single- and multi-dimensional arrays. Its primary type is the array type called ndarray. This library contains many routines for statistical analysis. Creating, Getting Info, Selecting and Util … Read More

pandas4 en

Getting Started with Pandas – Lesson 4

Introduction We begin with the fourth and final article of our saga of training with Pandas. In this article we are going to make a summary of the different functions that are used in Pandas to perform the missing data … Read More

pandas3 en

Getting Started with Pandas – Lesson 3

Introduction We begin with the third post of our data science training saga with Pandas. In this article we are going to make a summary of the different functions that are used in Pandas to perform Iteration, Maps, Grouping and … Read More

pandas2

Getting Started with Pandas – Lesson 2

Introduction We begin with the second post of our training saga with Pandas. In this article we are going to make a summary of the different functions that are used in Pandas to perform Indexing, Selection and Filtering. Indexing, Selecting … Read More

mempathy en

NPCs: Interactive Narrative control with Machine Learning

We are extremely proud of our Data Scientist – Gema Parreño, who has been invited to the Game development summit to give a talk about “Interactive Narrative control with Machine Learning”. About the Summit While offline events are temporarily gone, … Read More