📌 The Build vs. Buy Dilemma for GenAI Applications

🗂 Category: STRATEGY

🕒 Date: 2025-01-07 | ⏱️ Read time: 6 min read

A strategic guide to build vs. buy for GenAI

📌 An Overview of Feature Selection

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-07 | ⏱️ Read time: 28 min read

With a presentation of a rarely used, highly effective method for establishing the predictive power…

📌 Encapsulation: A Software Engineering Concept Data Scientists Must Know To Succeed

🗂 Category: CODING

🕒 Date: 2025-01-06 | ⏱️ Read time: 13 min read

Simple concepts that differentiate a professional from amateurs

📌 In Defense of Statistical Significance

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-06 | ⏱️ Read time: 6 min read

We have to draw the line somewhere

📌 AI Agents Hype, Explained – What You Really Need to Know to Get Started

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-01-06 | ⏱️ Read time: 6 min read

I’ll set the record straight – AI Agents are not new but advanced. Learn how…

📌 The State of Quantum Computing: Where Are We Today?

🗂 Category: SCIENCE AND TECHNOLOGY

🕒 Date: 2025-01-06 | ⏱️ Read time: 8 min read

And what we need to overcome

📌 Understanding the Evolution of ChatGPT: Part 1-An In-Depth Look at GPT-1 and What Inspired It

🗂 Category: DEEP LEARNING

🕒 Date: 2025-01-06 | ⏱️ Read time: 11 min read

Tracing the roots of ChatGPT: GPT-1, the foundation of OpenAI’s LLMs

📌 Meet GPT, The Decoder-Only Transformer

🗂 Category: DEEP LEARNING

🕒 Date: 2025-01-06 | ⏱️ Read time: 31 min read

Understanding and implementing the GPT-1, GPT-2 and GPT-3 architectures

📌 Why Variable Scoping Can Make or Break Your Data Science Workflow

🗂 Category:

🕒 Date: 2025-01-06 | ⏱️ Read time: 7 min read

Let’s kick off 2025 by writing some clean code together

📌 Measuring The Execution Times of C Versus Rust

🗂 Category:

🕒 Date: 2025-01-06 | ⏱️ Read time: 15 min read

Is C is faster than Rust? I had always assumed the answer to that question…

📌 Google’s Willow Quantum Computing Chip: A Game Changer?

🗂 Category: PHYSICS

🕒 Date: 2025-01-06 | ⏱️ Read time: 12 min read

Suppressing Logical Errors Exponentially! For the First Time

📌 Predicting a Ball Trajectory

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-05 | ⏱️ Read time: 7 min read

Polynomial Fit in Python with NumPy

📌 Awesome Plotly with Code Series (Part 7): Cropping the y-axis in Bar Charts

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-05 | ⏱️ Read time: 10 min read

Is there ever a good reason for starting a bar chart above zero?

📌 Journey to Full-Stack Data Scientist: Model Deployment

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-04 | ⏱️ Read time: 11 min read

An introduction to productionizing a machine learning model using APIs and Docker.

📌 The Next Frontier in LLM Accuracy

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-01-04 | ⏱️ Read time: 21 min read

Exploring the Power of Lamini Memory Tuning

📌 Data behind the Luck, Ambition, and a Billion-Dollar Dream: Lottery

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-04 | ⏱️ Read time: 13 min read

Using Seattle’s local retail store data for consumer patterns of the lottery (SQL, Python)

📌 How to Tell Among Two Regression Models with Statistical Significance

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-03 | ⏱️ Read time: 9 min read

Diving into the F-test for nested models with algorithms, examples and code

📌 The Cultural Impact of AI Generated Content: Part 2

🗂 Category:

🕒 Date: 2025-01-03 | ⏱️ Read time: 11 min read

What can we do about the increasingly sophisticated AI generated content in our lives?

📌 Non-Technical Principles All Data Scientists Should Have

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-03 | ⏱️ Read time: 13 min read

Making you a better data scientist, and enhancing your career.

📌 What I’m Updating in My AI Ethics Class for 2025

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-01-03 | ⏱️ Read time: 12 min read

What happened in 2024 that is new and significant in the world of AI ethics?

📌 Integrating Feature Selection into the Model Estimation

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-01-03 | ⏱️ Read time: 11 min read

Combining mixture of normal regressions with in-built feature selection into powerful modeling tool