DEV Community

Machine Learning

A branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.

Posts

đź‘‹ Sign in for the ability to sort posts by relevant, latest, or top.
The Ultimate Beginner's Checklist for Diving into Machine Learning in 2024

The Ultimate Beginner's Checklist for Diving into Machine Learning in 2024

4
Comments
2 min read
Measuring Data Science Models

Measuring Data Science Models

6
Comments
1 min read
Quantum Convolutional Neural Networks

Quantum Convolutional Neural Networks

24
Comments 4
6 min read
Staying Up-to-Date with the Latest AI Developments and Trends

Staying Up-to-Date with the Latest AI Developments and Trends

28
Comments
4 min read
Align Scheduling

Align Scheduling

2
Comments
5 min read
This is a submission for the Coze AI Bot Challenge

This is a submission for the Coze AI Bot Challenge

3
Comments
1 min read
Extracting Prompts by Inverting LLM Outputs

Extracting Prompts by Inverting LLM Outputs

Comments
4 min read
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference

ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference

Comments
4 min read
Direct3D: Scalable Image-to-3D Generation via 3D Latent Diffusion Transformer

Direct3D: Scalable Image-to-3D Generation via 3D Latent Diffusion Transformer

Comments
4 min read
Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling

Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling

Comments
4 min read
Efficient Encoder-Decoder Transformer Decoding for Decomposable Tasks

Efficient Encoder-Decoder Transformer Decoding for Decomposable Tasks

1
Comments
3 min read
Surveilling the Masses with Wi-Fi-Based Positioning Systems

Surveilling the Masses with Wi-Fi-Based Positioning Systems

Comments
5 min read
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning

MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning

Comments
4 min read
Models That Prove Their Own Correctness

Models That Prove Their Own Correctness

Comments
5 min read
Many-Shot In-Context Learning

Many-Shot In-Context Learning

Comments
4 min read
đź‘‹ Sign in for the ability to sort posts by relevant, latest, or top.