How To Up-Skill In Data Science
My framework for continually becoming a better data scientist
Writing LLMs in Rust: Looking for an Efficient Matrix Multiplication
Here are the lessons I learned and how I am writing llm.rust and tackling the matrix multiplication problem
Keeping Your AI Agent in Check: An Introductory Guide to Traces, Metrics and Logging
Learn how to implement metrics, logs, and centralized monitoring to keep your AI agents robust and production-ready
A Practical Framework for Data Analysis: 6 Essential Principles
A Practical Framework for Data Analysis: 6 Essential Principles
Creating Dynamic Pivots on Snowflake Tables with dbt
Leverage dbt and its advanced scripting functionality to generate dynamic pivot tables that adapt to changing pivot values
Successful AI Ethics & Governance at Scale: Bridging The Organizational and Implementation Gaps
The road from ethics to executives winds through lawyers and LLMs
Awesome Plotly with Code Series (Part 4): Grouping Bars vs Multi-Coloured Bars
Do technicolour bars really help make a story clear?
How I Created a Data Science Project Following CRISP-DM Lifecycle
An end-to-end project using the CRISP-DM framework
