📌 Building Successful AI Apps: The Dos and Don’ts

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-23 | ⏱️ Read time: 4 min read

Our weekly selection of must-read Editors’ Picks and original features

📌 Real World Use Cases: Strategies that Will Bridge the Gap Between Development and Productionizing

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-23 | ⏱️ Read time: 9 min read

Data science demonstrates its value when applied to practical challenges. This article shares insights gained…

📌 Nine Pico PIO Wats with MicroPython (Part 1)

🗂 Category: PROGRAMMING

🕒 Date: 2025-01-23 | ⏱️ Read time: 19 min read

Raspberry Pi programmable IO pitfalls illustrated with a musical example

📌 Behind the Scenes of a Successful Data Analytics Project

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-23 | ⏱️ Read time: 10 min read

Learn the steps to approach any data analytics project like a pro.

📌 Harmonizing and Pooling Datasets for Health Research in R

🗂 Category: CODING

🕒 Date: 2025-01-22 | ⏱️ Read time: 11 min read

R code to extract data from unique datasets and combine them in one harmonized dataset…

📌 Understanding Emergent Capabilities in LLMs: Lessons from Biological Systems

🗂 Category:

🕒 Date: 2025-01-22 | ⏱️ Read time: 24 min read

How natural systems fundamental laws help explain AI’s unexpected abilities

📌 Topic Modelling in Business Intelligence: FASTopic and BERTopic in Code

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-01-22 | ⏱️ Read time: 11 min read

A comparison of two cutting-edge dynamic topic models solving consumer complaints classification exercise

📌 How to Evaluate LLM Summarization

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-01-22 | ⏱️ Read time: 18 min read

A practical and effective guide for evaluating AI summaries

📌 How to Utilize ModernBERT and Synthetic Data for Robust Text Classification

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-01-22 | ⏱️ Read time: 10 min read

Learn how to fine-tune ModernBERT and create augmentations of text samples

📌 Human Minds and Machine Learning Models

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-01-22 | ⏱️ Read time: 14 min read

Exploring the parallels and differences between psychology and machine learning

📌 Neural Networks for Time-Series Imputation: Tackling Missing Data

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-01-22 | ⏱️ Read time: 11 min read

Part 3: Discover how a simple Keras sequential model can be effective

📌 The Concepts Data Professionals Should Know in 2025: Part 2

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-01-20 | ⏱️ Read time: 14 min read

From AI Agent to Human-In-The-Loop – Master 12 critical data concepts and turn them into…

📌 Designing, Building & Deploying an AI Chat App from Scratch (Part 2)

🗂 Category:

🕒 Date: 2025-01-20 | ⏱️ Read time: 20 min read

Cloud Deployment and Scaling

📌 Designing, Building & Deploying an AI Chat App from Scratch (Part 1)

🗂 Category:

🕒 Date: 2025-01-20 | ⏱️ Read time: 19 min read

Microservices Architecture and Local Development

📌 The Concepts Data Professionals Should Know in 2025: Part 1

🗂 Category: DATA ENGINEERING

🕒 Date: 2025-01-19 | ⏱️ Read time: 14 min read

From Data Lakehouses to Event-Driven Architecture – Master 12 data concepts and turn them into…

📌 Zero-Shot Player Tracking in Tennis with Kalman Filtering

🗂 Category:

🕒 Date: 2025-01-19 | ⏱️ Read time: 10 min read

Automated tennis tracking without labels: GroundingDINO, Kalman filtering, and court homography.

📌 How to Log Your Data with MLflow

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-19 | ⏱️ Read time: 12 min read

Mastering data logging in MLOps for your AI workflow

📌 Modern Data And Application Engineering Breaks the Loss of Business Context

🗂 Category: DATA ENGINEERING

🕒 Date: 2025-01-18 | ⏱️ Read time: 16 min read

Here’s how your data retains its business relevance as it travels through your enterprise

📌 Showcasing Soaring Wildfire Counts With Streamlit and Python: A Powerful Approach

🗂 Category: DATA VISUALIZATION

🕒 Date: 2025-01-18 | ⏱️ Read time: 13 min read

Analyzing historical wildfire trends in Canada with public data