Optimize your data science workflow by automating matplotlib output — with 1 line of code. Here’s how. Naming things is hard. After a long enough day, we’ve all ended up with the highly-descriptive likes of “graph7(1)_FINAL(2).png” and “output.pdf" Look familiar? We can do better — and quite easily, actually. When we use data-oriented “seaborn-esque” plotting…

Learn how a neural network with one hidden layer using ReLU activation can represent any continuous nonlinear functions. Activation functions play an integral role in Neural Networks (NNs) since they introduce non-linearity and allow the network to learn more complex features and functions than just a linear regression. One of the most commonly used activation…

When working with time-series data it can be important to apply filtering to remove noise. This story shows how to implement a low-pass filter in SQL / BigQuery that can come in handy when improving ML features. Filtering of time-series data is one of the most useful preprocessing tools in Data Science. In reality, data…

Where it stands out from other swarm algorithms This article is a continuation of my nature-inspired series. Previously, I talked about Evolutionary Algorithm (EA), Particle Swarm Optimization (PSO), as well as Artificial Bee Colony (ABC). Nature is everywhere, and there’s certainly more areas where humans can benefit by learning from nature. Today, we focus on…

Automate resource provisioning with modern tools 12 min read · 13 hours ago Photo by Ehud Neuhaus on UnsplashModern data stacks consist of various tools and frameworks to process data. Typically it would be a large collection of different cloud resources aimed to transform the data and bring it to the state…

The question is not anymore whether we can solve the problem with AI but to what extent it returns sustainable and reliable results. Good craftsmanship, governance, ethics, and education on AI are what we need now. Photo by Karan Suthar on UnsplashSince I was a kid, I have always been intrigued and interested in new…

A fully offline use of Whisper ASR and LLaMA-2 GPT Model Raspberry Pi running a LLaMA model, Image by authorNowadays, nobody will be surprised by running a deep learning model in the cloud. But the situation can be much more complicated in the edge or consumer device world. There are several reasons for that. First,…

Why do marketers turn to spreadsheets and how to close this gap Mind the gap (image by author)Marketing is often the main use case for analytics. Most performance marketers are data-driven and -literate. They want to use data to optimize their campaigns and achieve their ROI targets. However, self-service analytics is falling short. Especially for…

How fast will you drive? Photo by Julian Hochgesang on UnsplashWhen planning future vehicle routes, you trust the digital map providers for accurate speed predictions. You do this when picking your phone up to prepare for a car trip or, in a professional setting, when planning routes for your vehicle fleet. The forecasted speeds are…

Explore building an advanced RAG system on your computer. Full-cycle step-by-step guide with code. Image by the Author | Mistral + LlamaIndex + W&BRetrieval Augmented Generation (RAG) is a powerful NLP technique that combines large language models with selective access to knowledge. It allows us to reduce LLM hallucinations by providing the relevant pieces of…