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35 guides in Applied AI
Classifying images without training from scratch: choosing a pretrained model, preparing images correctly and reading the output.
Applied AI 2 min read 5 Jun 2026 For people
How object detection finds and localises multiple objects in an image, the main model families and how accuracy is measured.
Applied AI 2 min read 4 Jun 2026 For people
Semantic, instance and panoptic segmentation: labelling images pixel by pixel, and where each is used.
Applied AI 2 min read 3 Jun 2026 For people
Extracting text from images and scanned documents: how modern OCR works, where it fails and how to improve results.
Applied AI 2 min read 2 Jun 2026 For people
Finding people, organisations, places and other entities in text: approaches from rules to transformers and LLMs.
Applied AI 2 min read 1 Jun 2026 For people
Classifying opinion in text as positive, negative or neutral, the main approaches, and the pitfalls of sarcasm, domain and aggregation.
Applied AI 2 min read 31 May 2026 For people
From keyword rules to fine-tuned transformers and LLMs: how to build a classifier for tickets, emails or documents.
Applied AI 2 min read 30 May 2026 For people
How AI translation works today, its strengths and weaknesses, and how to use it safely for business content.
Applied AI 2 min read 29 May 2026 For people
Extractive, generative and retrieval-based question answering: how each works and how to choose.
Applied AI 2 min read 28 May 2026 For people
Turning invoices, forms and contracts into structured data with OCR, layout models and LLMs — and keeping humans in the loop.
Applied AI 2 min read 27 May 2026 For people
Forecasting sales and demand: data you need, methods from baselines to machine learning, and how to measure and use forecasts.
Applied AI 2 min read 26 May 2026 For people
How machine learning detects fraud in payments and claims, handling rare events and adversaries, and balancing losses against friction.
Applied AI 2 min read 25 May 2026 For people
Predicting which customers are likely to leave, defining churn properly, and turning predictions into effective retention actions.
Applied AI 2 min read 24 May 2026 For people
Using sensor data and machine learning to predict equipment failures before they happen — data, approaches and pitfalls.
Applied AI 1 min read 23 May 2026 For people
Where AI is helping in healthcare — imaging, documentation, operations — and why validation, bias and regulation demand care.
Applied AI 2 min read 22 May 2026 For people
How machine learning and language models help security teams detect threats and respond faster — and how attackers use AI too.
Applied AI 1 min read 21 May 2026 For people
Building personalised experiences that users value: data, cold start, evaluation with experiments, and avoiding creepiness.
Applied AI 1 min read 20 May 2026 For people
Using cameras and AI to spot defects on production lines: setup, data collection, model choices and running it reliably.
Applied AI 1 min read 19 May 2026 For people
Analysing maps and satellite images with machine learning: data sources, common tasks and pitfalls with location data.
Applied AI 2 min read 18 May 2026 For people
How learning-to-rank improves search results, the signals it uses and how to evaluate ranking changes safely.
Applied AI 1 min read 17 May 2026 For people