AutoML

What Does AutoML Mean?

TL;DR

Automated Machine Learning (AutoML) simplifies creating machine learning models. It automates tasks like data handling and model selection. This allows even non-experts to use artificial intelligence (AI), making it easier for businesses to benefit from predictive analytics across various industries.

In Detail

AutoML streamlines the process of building and deploying machine learning models. By automating tasks like data preprocessing, feature engineering, model selection, and hyperparameter tuning, AutoML makes machine learning accessible to non-experts.

AutoML systematically explores multiple algorithms and settings, optimizing for a chosen metric, and often arriving at solutions faster than human experts. It reduces the barrier to entry in the field of AI, empowering businesses and individuals to leverage predictive analytics without deep technical know-how.

AutoML is a powerful tool for democratizing AI and driving innovation across industries, from healthcare to finance to retail.

Learn More

Check out our comprehensive glossary of AI terms.

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When I write AutoML, I mean this:

meaning of AutoML

"Automated Machine Learning"

Summary of Key Points

"Automated Machine Learning" is the most common definition for AutoML on Snapchat, WhatsApp, Facebook, Twitter, Instagram, and TikTok.
AutoML
Definition:Automated Machine Learning
Type:Abbreviation
Guessability:guessability level 3

3: Guessable

Typical Users:typical user
Specialists

Example of AutoML Used in a Text

AutoML
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See Also

AGI (artificial general intelligence) AI/MLAAS (artificial intelligence/machine learning as a service) ANN (artificial neural networks) CNN (convolutional neural networks) DL (deep learning) DNN (deep neural network) GAN (generative adversarial network) GRU (gated recurrent unit) IOT (internet of things) LSTM (long short-term memory) ML (machine learning) NARROW AI (limited systems designed to perform specific tasks) NLP (natural language processing) RL (reinforcement learning) RNN (recurrent neural networks) SUPERINTELLIGENT AI (AI systems that surpass human intelligence in practically every field) WEAK AI (limited AI systems designed to perform specific tasks)

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