📌 The 5 Data Science Skills You Can’t Ignore in 2024

🗂 Category: CAREER ADVICE

🕒 Date: 2024-06-05 | ⏱️ Read time: 18 min read

Boost your career with these essential data science skills

📌 The One Billion Row Challenge in Julia

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-05 | ⏱️ Read time: 9 min read

What can data scientists learn should they choose to accept this mission?

🤖🧠 Unleashing the Power of AI with Open Agent Builder: A Visual Workflow Tool for AI Agents

🗓️ 19 Oct 2025
📚 AI News & Trends

In today’s rapidly advancing technological landscape, artificial intelligence (AI) is not just a buzzword, it’s a transformative force across industries. From automating complex tasks to streamlining operations, AI is revolutionizing workflows. However, designing and deploying AI-driven workflows has traditionally required expert-level programming knowledge. Enter Open Agent Builder, a revolutionary tool that democratizes the creation of ...

#AI #ArtificialIntelligence #OpenAgentBuilder #AIAgents #VisualWorkflow #TechInnovation

📌 Slicing in Python: A Comprehensive Guide

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-05 | ⏱️ Read time: 32 min read

Master Python slicing: from lists and tuples to NumPy arrays and Pandas dataframes, plus custom…

📌 “Sparks of Chemical Intuition”-and Gross Limitations!-in AlphaFold 3

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-06-05 | ⏱️ Read time: 20 min read

Observations after 3 weeks of DeepMind releasing its hitherto most advanced model for biomolecular structure…

📌 Conceptual Frameworks for Data Science Projects

🗂 Category: DATA SCIENCE

🕒 Date: 2025-10-19 | ⏱️ Read time: 18 min read

An overview of common framework types and a simple process for building custom frameworks

📌 How to Build Guardrails for Effective Agents

🗂 Category: LLM APPLICATIONS

🕒 Date: 2025-10-19 | ⏱️ Read time: 7 min read

Learn how to set up effective guardrails to enforce desired behaviour from your agents

📌 Predicting Chicago Taxi Trips with R Time Series Model – BSTS

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-04 | ⏱️ Read time: 9 min read

Step-by-step tutorial on how to forecast number of taxi trips using R time series model

📌 Data Disruptions to Elevate Entity Embeddings

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-06-04 | ⏱️ Read time: 15 min read

Injecting random values during neural network training can help you get more from your categoricals

📌 Effective Strategies for Managing ML Initiatives

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-04 | ⏱️ Read time: 7 min read

Embracing uncertainty, right people, and learning from the data

📌 The Math Behind Gated Recurrent Units

🗂 Category: DEEP LEARNING

🕒 Date: 2024-06-04 | ⏱️ Read time: 33 min read

Dive into advanced deep learning with gated recurrent units (GRUs), understand their mathematics, and implement…

📌 Understanding You Only Cache Once

🗂 Category:

🕒 Date: 2024-06-04 | ⏱️ Read time: 11 min read

This blog post will go in detail on the “You Only Cache Once: Decoder-Decoder Architectures…

📌 The Meaning of Explainability for AI

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-06-04 | ⏱️ Read time: 10 min read

Do we still care about how our machine learning does what it does?

📌 A Deep Dive into Fine-Tuning

🗂 Category: NATURAL LANGUAGE PROCESSING

🕒 Date: 2024-06-03 | ⏱️ Read time: 30 min read

Stepping out of the “comfort zone” – part 3/3 of a deep-dive into domain adaptation…

📌 The Trap of Sprints: Don’t Be Like Scarlett O’Hara. Think Today!

🗂 Category: AGILE

🕒 Date: 2024-06-03 | ⏱️ Read time: 11 min read

Why data scientists should prioritize communication and flexibility in agile projects

📌 Bit-LoRA as an application of BitNet and 1.58 bit neural network technologies

🗂 Category:

🕒 Date: 2024-06-03 | ⏱️ Read time: 15 min read

Abstract: applying ~1bit transformer technology to LoRA adapters allows us to reach comparable performance with…

📌 Optimizing Memory Consumption for Data Analytics Using Python – From 400 to 0.1

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-03 | ⏱️ Read time: 9 min read

Reducing the memory consumption of your code means reducing hardware requirements

📌 ML Engineering 101: A Thorough Explanation of The Error “DataLoader worker (pid(s) xxx) exited…

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-03 | ⏱️ Read time: 6 min read

A deep dive into PyTorch DataLoader with Multiprocessing