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Optimice y modernice todo el proceso de planificación financiera con analítica El problema El ritmo de los cambios normativos, junto con el crecimiento explosivo de los datos financieros y operativos disponibles, ha hecho que las soluciones de contabilidad tradicionales sean incapaces de proporcionar la información crítica sobre los costes, la […] The post Conozca el […]
Conozca el coste real de su negocio Read More »
One of the core challenges of data science is drawing meaningful causal conclusions from observational data. In many such cases, the goal is to estimate the true impact of a treatment or behaviour as fairly as possible. This article explores Propensity Score Matching (PSM), a statistical technique used for that very purpose. Unlike randomized experiments
Guide to Propensity Score Matching for Causal Inference to Estimate True Impact Read More »
In this tutorial, we explore how to solve differential equations and build neural differential equation models using the Diffrax library. We begin by setting up a clean computational environment and installing the required scientific computing libraries such as JAX, Diffrax, Equinox, and Optax. We then demonstrate how to solve ordinary differential equations using adaptive solvers
Nos últimos anos, a IA deixou de ser uma tecnologia futurista para se tornar um elemento cada vez mais central na estratégia das empresas, inclusive para a área de Marketing ao ajudar na redefinição da forma como as marcas interagem e chegam até aos consumidores. Segundo, aliás, o estudo Marketers […] The post O potencial
O potencial transformador da IA no Marketing Read More »
In this tutorial, we build a complete pipeline for single-cell RNA sequencing analysis using Scanpy. We start by installing the required libraries and loading the PBMC 3k dataset, then perform quality control, filtering, and normalization to prepare the data for downstream analysis. We then identify highly variable genes, perform PCA for dimensionality reduction, and construct
At first glance, adding more features to a model seems like an obvious way to improve performance. If a model can learn from more information, it should be able to make better predictions. In practice, however, this instinct often introduces hidden structural risks. Every additional feature creates another dependency on upstream data pipelines, external systems,
In this tutorial, we explore tqdm in depth and demonstrate how we build powerful, real-time progress tracking into modern Python workflows. We begin with nested progress bars and manual progress control, then move into practical scenarios such as streaming downloads, pandas data processing, parallel execution, structured logging, and asynchronous tasks. Throughout this tutorial, we focus
In this tutorial, we implement a production-grade, large-scale graph analytics pipeline in NetworKit, focusing on speed, memory efficiency, and version-safe APIs in NetworKit 11.2.1. We generate a large-scale free network, extract the largest connected component, and then compute structural backbone signals via k-core decomposition and centrality ranking. We also detect communities with PLM and quantify
What if I told you, you often lose your next big role to someone much less credible than you? Unjust, yes, but certainly not untrue. Here is the reality: recruiters, founders, and collaborators don’t discover talent through Kaggle notebooks. They discover it through visibility. Visibility on the world’s largest professional network – LinkedIn. You see,
Grow your LinkedIn Scarily Fast (For Data Scientists) with This AI Workflow Read More »
You probably solved Bayes’ Theorem in college and decided you’re “good at statistics.” But interviews reveal something else: most candidates don’t fail because they can’t code. They fail because they can’t think probabilistically. Writing Python is easy. Reasoning under uncertainty isn’t. In real-world data science, weak statistical intuition is expensive. Misread an A/B test, misjudge
15 Probability and Statistics Interview Questions Every Data Scientist Must Master Read More »
