📌 How to Get Started on Your Data Science Career Journey

🗂 Category: CAREER ADVICE

🕒 Date: 2024-10-20 | ⏱️ Read time: 6 min read

Six considerations for beginners to pick a resource for upskilling in Data Science and AI/ML

📌 Understanding LLMs from Scratch Using Middle School Math

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-10-19 | ⏱️ Read time: 52 min read

In this article, we talk about how LLMs work, from scratch – assuming only that…

📌 How Much Stress Can Your Server Handle When Self-Hosting LLMs?

🗂 Category: DATA SCIENCE

🕒 Date: 2024-10-19 | ⏱️ Read time: 7 min read

Do you need more GPUs or a modern GPU? How do you make infrastructure decisions?

📌 The One Mindset Change That Launched Me into Data Science

🗂 Category: DATA SCIENCE

🕒 Date: 2024-10-19 | ⏱️ Read time: 13 min read

Make it happen: tiny changes to break into data science or any dream career

📌 Cognitive Prompting in LLMs

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-10-19 | ⏱️ Read time: 9 min read

Can we teach machines to think like humans?

📌 A Critical Look at AI Image Generation

🗂 Category: ART

🕒 Date: 2024-10-17 | ⏱️ Read time: 12 min read

What does image generative AI really tell us about our world?

📌 All You Need to Know to Build Radial Charts in Tableau

🗂 Category: DATA SCIENCE

🕒 Date: 2024-10-17 | ⏱️ Read time: 7 min read

You will never forget it after this!

📌 Fine-Tuning BERT for Text Classification

🗂 Category: DEEP LEARNING

🕒 Date: 2024-10-17 | ⏱️ Read time: 6 min read

A hackable example with Python code

📌 Create Your Own Prompt Enhancer from Scratch

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-10-17 | ⏱️ Read time: 11 min read

How to emulate OpenAI’s system prompt generator functionality

📌 Temporal-Difference Learning: Combining Dynamic Programming and Monte Carlo Methods for Reinforcement Learning

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-10-17 | ⏱️ Read time: 17 min read

Milestones of RL: Q-Learning and Double Q-Learning

📌 Visualization of Data with Pie Charts in Matplotlib

🗂 Category:

🕒 Date: 2024-10-16 | ⏱️ Read time: 5 min read

Examples of how to create different types of pie charts using Matplotlib to visualize the…

📌 A Novel Approach to Detect Coordinated Attacks Using Clustering

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-10-16 | ⏱️ Read time: 18 min read

Unveiling hidden patterns: grouping malicious behavior

📌 Exploring DRESS Kit V2

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-10-16 | ⏱️ Read time: 13 min read

Exploring new features and notable changes in the latest version of the DRESS Kit

📌 The Science Behind AI’s First Nobel Prize

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-10-16 | ⏱️ Read time: 13 min read

How Physics and Machine Learning Joined Forces to Win Physics Nobel 2024

📌 Marketing Mix Modeling (MMM): How to Avoid Biased Channel Estimates

🗂 Category: DATA SCIENCE

🕒 Date: 2024-10-16 | ⏱️ Read time: 16 min read

Learn which variables you should and should not take into account in your model.

📌 Beyond Naive RAG: Advanced Techniques for Building Smarter and Reliable AI Systems

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2024-10-16 | ⏱️ Read time: 32 min read

A deep dive into advanced indexing, pre-retrieval, retrieval, and post-retrieval techniques to enhance RAG performance

📌 Will Your Vote Decide the Next President?

🗂 Category: DATA SCIENCE

🕒 Date: 2024-10-15 | ⏱️ Read time: 22 min read

Simulating the probability that your singular vote swings the election in November

📌 Normalized Discounted Cumulative Gain (NDCG) – The Ultimate Ranking Metric

🗂 Category: DATA SCIENCE

🕒 Date: 2024-10-15 | ⏱️ Read time: 10 min read

NDCG – The Rank-Aware Metric for Evaluating Recommendation Systems

📌 Continual Learning: A Primer

🗂 Category: DEEP LEARNING

🕒 Date: 2024-10-15 | ⏱️ Read time: 8 min read

Plus paper recommendations

📌 I Fine-Tuned the Tiny Llama 3.2 1B to Replace GPT-4o

🗂 Category: DATA SCIENCE

🕒 Date: 2024-10-15 | ⏱️ Read time: 8 min read

Is the fine-tuning effort worth more than few-shot prompting?

📌 Dataflow architecture

🗂 Category: DATA ENGINEERING

🕒 Date: 2024-10-15 | ⏱️ Read time: 23 min read

on derived data views and eventual consistency