July 2025
Intermediate to advanced
288 pages
7h 48m
English
Content preview from Generative AI
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Index
- Adaptive AI, 117–119
- Advances in natural language processing (NLP), 6
- Adversarial networks, 58, 60, 71
- Adversarial training, 29–43, 53, 54
- AI technologies, 219–220, 244
- AI-pushed, 107, 110, 113, 116, 120, 121, 125
- Anomaly detection, 9
- Artificial intelligence (AI), 187–194
- Autonomous navigation, 64
- Autoregressive models, 10
- Data augmentation, 29–30, 42, 44, 51, 222, 226
- Data availability, 160
- Data dependency, 70
- Data distribution, 58
- Data imputation, 9
- Data leakage, 20
- Data privacy, 242, 246
- Data privacy issues, 19
- Data quality and quantity, 21
- Data scarcity, 21
- Data synthesis, 226
- Decoder, 9, 10
- Deep Boltzmann machines (DBMs), 13
- Deep fakes and misinformation, 19, 23, 25, 27
- Deep learning, 202, 203
- Deep learning frameworks, 71
- Diagnostic accuracy, 215–217, 222, 228, 233
- Diagnostic systems, 217, 219
- Diffusion models, 2, 7, 14, 26
- Digital shift, 260
- Discriminator, 5, 7, 8, 29–49, 53
- Disease management, 215–217, 245–246
- Domain adaptation, 74
- Drug discovery, 64
- Dynamic multi-domain translation, 77
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.