Machine Learning Using R: With Time Series and Industry-Based Use Cases in R
Review “The wide variety of concepts and the unique blend of theory and exercises recommend this book as a reliable starting point for researchers looking for a deeper understanding of machine learning approaches … . The book is suitable for a wide variety of backgrounds and skill sets, it is addressed to researchers from undergraduates to postgraduates and established researchers and from a wide range of interdisciplinary backgrounds such as computer science, mathematics, physics and biology.” (Irina Ioana Mohorianu, zbMATH 1423.68007, 2019) From the Back Cover
- ASIN
- 1484242149
- Embedding
- CLIP ViT-L/14 · 768d
- Distance metric
- cosine
- Doc fetch
- 23mscache hitGET /v2/namespaces/amazon-products/documents/1484242149
- Similar query
- 67msnearest_to_id → /query
Doc fetch goes through Layer's Aerospike pull-through cache; cache hit served the row without touching turbopuffer. The similar query asks Layer for nearest neighbors of the stored product vector — queries don't go through the doc cache, so no cache header is set.