Boosting
Artificial Intelligence
How AI Is Quietly Reshaping Logistics: Cutting Waste and Boosting Margins
While finance and healthcare get the headlines for embracing AI, a number of the most lucrative use cases are on the roads. Logistics is the backbone of world trade, and executives are catching on—in...
Artificial Intelligence
Gradient Boosting Regressor, Explained: A Visual Guide with Code Examples
ENSEMBLE LEARNINGFitting to errors one booster stage at a timeAfter all, in machine learning, we would like our predictions spot on. We began with easy decision trees — they worked okay. Then got here...
Artificial Intelligence
Non-Linearity: Can Linear Regression Compete With Gradient Boosting?
Some weeks ago, I published a post on LinkedIn.The post was based on the next figure, comparing the predictions made by two models: Linear Regression, and CatBoost.This began a discussion, and I discovered the...
Artificial Intelligence
A Powerful Feature for Boosting Python Code Efficiency and Streamlining Complex Workflows
All it is advisable to learn about Python loopsPython’s ability to handle repetitive tasks, automate processes, and implement complex algorithms through its powerful loops, is kind of notable. To assist Python enthusiasts fully understand...
Artificial Intelligence
The Art of Chunking: Boosting AI Performance in RAG Architectures
The Key to Effective AI-Driven Retrieval13 min read·11 hours agoFree link: Please help me like this LinkedIn post.Smart persons are lazy. They find probably the most efficient ways to resolve complex problems, minimizing effort...
Artificial Intelligence
⭐ OpenAI Boosting Popularity
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Hello, AI Enthusiasts!Renowned for pushing the boundaries of what artificial intelligence can achieve, OpenAI has once more captured headlines with a series of monumental announcements.Don’t remember subscribing or wish to stop receiving...
Artificial Intelligence
Boosting Model Accuracy: Techniques I Learned During My Machine Learning Thesis at Spotify (+Code Snippets)
A tech data scientist’s stack to enhance stubborn ML modelsThis text is certainly one of a two-part piece documenting my learnings from my Machine Learning Thesis at Spotify. You should definitely also try the...
Artificial Intelligence
Boosting PyTorch Inference on CPU: From Post-Training Quantization to Multithreading Problem Statement: Deep Learning Inference under Limited Time and Computation Constraints Approaching Deep Learning Inference on...
For an in-depth explanation of post-training quantization and a comparison of ONNX Runtime and OpenVINO, I like to recommend this text:This section will specifically have a look at two popular techniques of post-training quantization:ONNX...
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