📌 Writing LLMs in Rust: Looking for an Efficient Matrix Multiplication

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-11-14 | ⏱️ Read time: 16 min read

Here are the lessons I learned and how I am writing llm.rust and tackling the…

📌 Awesome Plotly with Code Series (Part 4): Grouping Bars vs Multi-Coloured Bars

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-14 | ⏱️ Read time: 13 min read

Do technicolour bars really help make a story clear?

📌 How I Created a Data Science Project Following CRISP-DM Lifecycle

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-13 | ⏱️ Read time: 26 min read

An end-to-end project using the CRISP-DM framework

📌 3 Triangle-Shaped Chart Ideas as Alternatives to Some Basic Charts

🗂 Category: DATA VISUALIZATION

🕒 Date: 2024-11-19 | ⏱️ Read time: 8 min read

Creating data visualizations with Python as alternatives to bar charts, pie charts, and some 3D…

📌 Building a Local Voice Assistant with LLMs and Neural Networks on Your CPU Laptop

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-19 | ⏱️ Read time: 6 min read

A practical guide to run lightweight LLMs using python

📌 Data Visualization Explained: What It Is and Why It Matters

🗂 Category: DATA SCIENCE

🕒 Date: 2025-09-21 | ⏱️ Read time: 8 min read

A brief introduction to data visualization and its importance in today’s technological landscape.

📌 Python Can Now Call Mojo

🗂 Category: PROGRAMMING

🕒 Date: 2025-09-21 | ⏱️ Read time: 14 min read

Boost your runtimes with lightning-fast Mojo code

📌 Demystifying the Correlation Matrix in Data Science

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-13 | ⏱️ Read time: 16 min read

Understanding the Connections Between Variables: A Comprehensive Guide to Correlation Matrices and Their Applications

📌 Nobody Puts AI in a Corner!

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-11-13 | ⏱️ Read time: 9 min read

Two short anecdotes about transformations, and what it takes if you want to become “AI-enabled”

📌 The Ultimate Guide to Evaluating the Impact of Outlier Treatment in Time Series

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-11-13 | ⏱️ Read time: 22 min read

Sensitivity Analysis, Model Validation, Feature Importance & More!

📌 Increase Trust in Your Regression Model The Easy Way

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-13 | ⏱️ Read time: 5 min read

How to use Conformalized Quantile Regression

📌 Game Theory, Part 3 – You are the average of the five people you spend the most time with

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-13 | ⏱️ Read time: 5 min read

Is Tit-for-tat the best strategy in the Iterated Prisoner’s Dilemma game?

📌 Boosting Algorithms in Machine Learning, Part II: Gradient Boosting

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-11-12 | ⏱️ Read time: 11 min read

Uncovering a simple yet powerful, award-winning machine learning algorithm

📌 Reporting in Excel Could Be Costing Your Business More Than You Think – Here’s How to Fix It…

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-12 | ⏱️ Read time: 7 min read

Discover how you can save hours, eliminate costly data errors, and free up your team…

📌 Beyond RAG: Precision Filtering in a Semantic World

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-11-12 | ⏱️ Read time: 9 min read

Aligning expectations with reality by using traditional ML to bridge the gap in a LLM’s…

📌 From Parallel Computing Principles to Programming for CPU and GPU Architectures

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-11-12 | ⏱️ Read time: 23 min read

For early ML Engineers and Data Scientists, to understand memory fundamentals, parallel execution, and how…

📌 Economics of Hosting Open Source LLMs

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-12 | ⏱️ Read time: 23 min read

Leveraging various deployment options

📌 NER in Czech Documents with XLM-RoBERTa using Accelerate

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-12 | ⏱️ Read time: 10 min read

Decisions I made during the development of a document processing model that was successfully deployed

📌 Decoding One-Hot Encoding: A Beginner’s Guide to Categorical Data

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-11-11 | ⏱️ Read time: 6 min read

Learning to transform categorical data into a format that a machine learning model can understand

📌 Bessel’s Correction: Why Do We Divide by n−1 Instead of n in Sample Variance?

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-11-11 | ⏱️ Read time: 9 min read

Understanding the Unbiased Estimation of Population Variance