Full recording of interview with Alan James, AI/ML Architect
0:00 – 3:44 – introductions and background
3:45 – 8:20 – Applications of AI
8:21 – 13:45 – How AI projects are different from regular development
13:46 – 16:15 – Typical use cases for AI/ML
16:16 – 18:15 – Statistical analysis, correlations and recommendation engines
18:16 – 23:44 – Waterfall doesn’t work, its always Agile
23:45 – 29:05 – Segmentation of models
29:06 – 33:34 – Shifting the dev mindset to work on AI
33:35 – 34:42 – What the future brings
34:43 – 37:08 – Resources
37:09 – 37:47 – Thanks
List of resources:
- PyTorch tools
- Fast.ai training
- SentDex Channel