#model-training

[ follow ]
#machine-learning
Data School
2 months ago
Data science

Should you discretize features for Machine Learning?

Discretization can be used with continuous numeric features to convert them into categorical features for model input.
Although discretization can benefit linear models by aiding in learning non-linear trends, it might not be recommended due to its drawbacks. [ more ]
Ars Technica
3 weeks ago
Data science

What kind of bug would make machine learning suddenly 40% worse at NetHack?

NetHack is used for machine learning experimentation, showing challenges in model performance consistency. [ more ]
Data School
2 months ago
Data science

Should you discretize features for Machine Learning?

Discretization can be used with continuous numeric features to convert them into categorical features for model input.
Although discretization can benefit linear models by aiding in learning non-linear trends, it might not be recommended due to its drawbacks. [ more ]
Ars Technica
3 weeks ago
Data science

What kind of bug would make machine learning suddenly 40% worse at NetHack?

NetHack is used for machine learning experimentation, showing challenges in model performance consistency. [ more ]
moremachine-learning
Techxplore
3 months ago
Artificial intelligence

Balancing training data and human knowledge to make AI act more like a scientist

Informed machine learning involves incorporating rules and tips, like the laws of physics, to enhance AI efficiency.
Assessing the value of different rules and data in AI training is essential for improving predictive capability. [ more ]
TechCrunch
4 months ago
Artificial intelligence

DatologyAI is building tech to automatically curate AI training data sets | TechCrunch

Biases can emerge from massive data sets, hindering AI models.
Data preparation challenges, including cleaning, are significant obstacles for AI initiatives. [ more ]
Reuters
2 weeks ago
Artificial intelligence

EU's new AI rules ignite battle over data transparency

New EU laws on AI transparency will require companies to disclose data used for training models, challenging industry practices. [ more ]
[ Load more ]