Machine Learning and AI Beyond the Basics
Machine Learning and AI Beyond the Basics
- Reduce overfitting with altered data or model modifications
- Handle common sources of randomness when training deep neural networks
- Speed up model inference through optimization without changing the model architecture or sacrificing accuracy
- Practically apply the lottery ticket hypothesis and the distributional hypothesis
- Use and finetune pretrained large language models
- Set up k-fold cross-validation at the appropriate time
You'll also learn to distinguish between self-attention and regular attention; name the most common data augmentation techniques for text data; use various self-supervised learning techniques, multi-GPU training paradigms, and types of generative AI; and much more. Whether you're a machine learning beginner or an experienced practitioner, add new techniques to your arsenal and keep abreast of exciting developments in a rapidly changing field.
PRP: 326.33 Lei
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261.06Lei
261.06Lei
326.33 LeiLivrare in 2-4 saptamani
Descrierea produsului
- Reduce overfitting with altered data or model modifications
- Handle common sources of randomness when training deep neural networks
- Speed up model inference through optimization without changing the model architecture or sacrificing accuracy
- Practically apply the lottery ticket hypothesis and the distributional hypothesis
- Use and finetune pretrained large language models
- Set up k-fold cross-validation at the appropriate time
You'll also learn to distinguish between self-attention and regular attention; name the most common data augmentation techniques for text data; use various self-supervised learning techniques, multi-GPU training paradigms, and types of generative AI; and much more. Whether you're a machine learning beginner or an experienced practitioner, add new techniques to your arsenal and keep abreast of exciting developments in a rapidly changing field.
Detaliile produsului