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How To Improve Machine Learning Model Accuracy

DagsHub

In 2018, there were extensive news reports that an Uber self-driving car made an accident with a pedestrian in Tempe, Arizona. The pedestrian died, and investigators found that there was an issue with the machine learning (ML) model in the car, so it failed to identify the pedestrian beforehand. Read more about benchmarking ML models.

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Top 5 Generative AI Integration Companies to drive Customer Support in 2023

Chatbots Life

Simple chatbots without generative AI integration rely on pre-programmed responses and rule-based decision trees to guide their interactions with users. 10Clouds is a software consultancy, development, ML, and design house based in Warsaw, Poland.

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Explainability in AI and Machine Learning Systems: An Overview

Heartbeat

The " Decision Tree " is a popular example of the rule-based model that offers interpretable insights into how the model arrives at its decisions. Decision trees can be trained and visualized in rule-based explanations to reveal the underlying decision logic. Russell, C. & & Watcher, S.

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What a data scientist should know about machine learning kernels?

Mlearning.ai

Gaussian kernels are commonly used for classification problems that involve non-linear boundaries, such as decision trees or neural networks. Laplacian Kernels Laplacian kernels, also known as Laplacian of Gaussian (LoG) kernels, are used in decision trees or neural networks like image processing for edge detection.