Cracking the Machine Learning Code: Technicality or Innovation?

Cracking the Machine Learning Code: Technicality or Innovation?

Santosh, KC; Bajracharya, Siddhi K.; Rizk, Rodrigue

Springer Verlag, Singapore

05/2024

127

Dura

9789819727193

15 a 20 dias

Descrição não disponível.
Chapter 1. Introduction.- Chapter 2. Data modalities and preprocessing.- Chapter 3. Basic building blocks: From shallow to deep.- Chapter 4. Experimental Setup.- Chapter 5: Case study: from numbers to images.- Chapter 6: Extension: Multimodal learning representation.- Chapter 7. Where is the innovation?.
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Machine Learning;Big Data;Shallow Learning;Deep Learning;Data Preprocessing;Regression Analysis;Natural Language Processing