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#General #Development #Mobile Development #Cloud & DevOps #Cybersecurity & Privacy #AI & Data Science #Hardware & Gadgets #Design & UX5 Lesser-Known Visualization Libraries for Impactful Machine Learning Storytelling
Data storytelling often extends into machine learning, where we need engaging visuals that support a clear narrative.
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How to Become a Machine Learning Engineer (Step-by-Step)
Your one-stop guide to becoming a machine learning engineer The post How to Become a Machine Learning Engineer (Step-by-Step) appeared first on Towards Data Science.
The Rise of Semantic Entity Resolution
Semantic entity resolution uses language models to bring an increased level of automation to schema alignment, blocking (grouping records into smaller, efficient blocks for all-pairs comparison at quadratic, nΒ² complexity), matching and even merging duplicate nodes and edges. In the past, entity resolution systems relied on statistical tricks such as string distance, static rules or complex ETL to schema align, block,...
No Peeking Ahead: Time-Aware Graph Fraud Detection
How to implement leak-free graph fraud detection The post No Peeking Ahead: Time-Aware Graph Fraud Detection appeared first on Towards Data Science.
Building Research Agents for Tech Insights
Using a controlled workflow, unique data & prompt chaining The post Building Research Agents for Tech Insights appeared first on Towards Data Science.
Docling: The Document Alchemist
Why do we still wrestle with documents in2025? Spend some time in any data-driven organisation, and youβll encounter a host of PDFs, Word files, PowerPoints, half-scanned images, handwritten notes, and the occasional surprise CSV lurking in a SharePoint folder. Business and data analysts waste hours converting, splitting, and cajoling those formats into something their Python [β¦] The post Docling: The Document...
If we use AI to do our work β what is our job, then?
Images. Text. Audio. Thereβs no modality that is not handled by AI. And AI systems reach even further, planning advertisement and marketing campaigns, automating social media postings, β¦ Most of this was unthinkable a mere ten years ago. But then, the first machine learning-driven algorithms did their initial steps: out of the research labs, into [β¦] The post If we use AI to do our work β what is our job, then?...
Uncommon Uses of Common Python Standard Library Functions
Think the Python Standard Library is predictable? Think again. This article covers interesting ways to use familiar functions in interesting contexts.
Generalists Can Also Dig Deep
Ida SilfverskiΓΆld on AI agents, RAG, evals, and what design choice ended up mattering more than expected The post Generalists Can Also Dig Deep appeared first on Towards Data Science.
A Focused Approach to Learning SQL
Data is everywhere, but how do you draw insights from it? Often, structured data is stored in relational databases, meaning collections of related tables of data. For instance, a company might store customer purchases in one table, customer demographics in another, and suppliers in a third table. These tables can then be joined together and [β¦] The post A Focused Approach to Learning SQL appeared first on Towards Data...
5 Tips for Building Optimized Hugging Face Transformer Pipelines
Check out these five simple yet powerful tips for your Hugging Face work.
VaultGemma: The world's most capable differentially private LLM
We introduce VaultGemma, the most capable model trained from scratch with differential privacy.
Why Context Is the New Currency in AI: From RAG to Context Engineering
Context, not computation, is the real currency of intelligent systems The post Why Context Is the New Currency in AI: From RAG to Context Engineering appeared first on Towards Data Science.
How to Analyze and Optimize Your LLMs in 3 Steps
Learn to enhance your LLMs with my 3 step process, inspecting, improving and iterating on your LLMs The post How to Analyze and Optimize Your LLMs in 3 Steps appeared first on Towards Data Science.
The Roadmap for Mastering AI-Assisted Coding in 2025
AI-assisted coding was something virtually nobody could even imagine a few years back, but to some extent, it has now become part of many developersβ workflows β be it for generating specific code snippets, debugging existing code, or even orchestrating tasks.
The Crucial Role of Color Theory in Data Analysis and Visualization
How research-backed color principles improved clarity and storytelling in my dashboards The post The Crucial Role of Color Theory in Data Analysis and Visualization appeared first on Towards Data Science.
12 Essential Lessons for Building AI Agents
Discover the free Microsoft course that provides an engaging 12-lesson introduction to agentic AI, featuring hands-on coding examples and multi-language support, making it an ideal pathway for beginners to explore this exciting field.
Is Your Training Data Representative? A Guide to Checking with PSI in Python
Comparing Variable Distributions Between Two Datasets Using Population Stability Index (PSI) and CramΓ©rβs V. The post Is Your Training Data Representative? A Guide to Checking with PSI in Python appeared first on Towards Data Science.
Fighting Back Against Attacks in Federated LearningΒ
Lessons from a multi-node simulator The post Fighting Back Against Attacks in Federated Learning appeared first on Towards Data Science.
When A Difference Actually Makes A Difference
Bite-Sized Analytics for Business Decision-Makers (1) The post When A Difference Actually Makes A Difference appeared first on Towards Data Science.
10 Common Misconceptions About Large Language Models
Large language models (LLMs) have rapidly integrated into our daily workflows.
Why Task-Based Evaluations Matter
This article is adapted from a lecture series I gave at Deeplearn 2025: From Prototype to Production: Evaluation Strategies for Agentic Applications. Task-based evaluations, which measure an AI systemβs performance in use-case-specific, real-world settings, are underadopted and understudied. There is still an outsized focus in AI literature on foundation model benchmarks. Benchmarks are essential for advancing research...
How to Build an AI Budget-Planning Optimizer for Your 2026 CAPEX Review: LangGraph, FastAPI, and n8n
Email n8n LangGraph FastAPI: turning budget requests into optimised CAPEX portfolios that maximise ROI for decision-makers. The post How to Build an AI Budget-Planning Optimizer for Your 2026 CAPEX Review: LangGraph, FastAPI, and n8n appeared first on Towards Data Science.
5 Portfolio Mistakes That Keep Data Scientists From Getting Hired
The mistakes you make when building a portfolio stop you from getting hired. Here are 5 common mistakes and how to fix them.
How to Build Effective AI Agents to Process Millions of Requests
Learn how to build production ready systems using AI agents The post How to Build Effective AI Agents to Process Millions of Requests appeared first on Towards Data Science.
A Gentle Introduction to Docker for Python Developers
Learn how Docker can help Python developers create isolated, consistent environments that simplify everything from development to deployment.
The Hungarian Algorithm and Its Applications in ComputerΒ Vision
Introduction Multi-object tracking (MOT) is a task in which an algorithm must detect and track multiple objects in a video. Most known algorithms are based on using simple detectors (e.g. YOLO) designed for processing individual images. The overall method involves separately using a detector on consecutive video frames and then matching the corresponding bounding boxes [β¦] The post The Hungarian Algorithm and Its...
Ray or Dask? A Practical Guide for Data Scientists
Ray and Dask are tools that help data scientists work faster by performing multiple tasks at the same time. This article will show you the main differences and help you pick the right one for machine learning projects.
LangGraph 201: Adding Human Oversight to Your Deep Research Agent
Losing control of your AI agent in the middle of the workflow is a common pain point. If you have built your own agentic applications, youβve most likely already seen this happen. While LLMs nowadays are incredibly capable, theyβre still not quite there yet to run fully autonomously in a complex workflow. For any practical [β¦] The post LangGraph 201: Adding Human Oversight to Your Deep Research Agent appeared first on...
Multi-Agent Systems: The Next Frontier in AI-Driven Cyber Defense
The increasing sophistication of cyber threats calls for a systemic change in the way we defend ourselves against them.
Exploring Merit Order and Marginal Abatement Cost Curve in Python
To achieve the global temperature limit goals of 1.5C by the end of the century set by the Paris Agreement, different institutions have come up with different scenarios. There is a consensus amongthe mitigation scenariosthat the share of low-carbon technologies such as renewable energy needs to increase, and fossil fuels need to decline steadily in [β¦] The post Exploring Merit Order and Marginal Abatement Cost Curve in...
5 Free AI Courses from Hugging Face
Hands-on, community driven courses on LLMs, AI agents, MCPs, diffusion models, and reinforcement learning.
Implementing the Gaussian Challenge in Python
Beginner-friendly tutorial to understand range function and Python loops The post Implementing the Gaussian Challenge in Python appeared first on Towards Data Science.
Agentic AI and the Future of Python Project Management Tooling
Introducing a pyramid framework of evolution, accelerating and decelerating factors, and strategic recommendations for incumbents and new entrants The post Agentic AI and the Future of Python Project Management Tooling appeared first on Towards Data Science.
From Tokens to Theorems: Building a Neuro-Symbolic AI Mathematician
The next Gauss may not be born β they may be spun up in the cloud The post From Tokens to Theorems: Building a Neuro-Symbolic AI Mathematician appeared first on Towards Data Science.