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Machine Learning: Theoretical Foundations and Practical Applications

Machine Learning: Theoretical Foundations and Practical Applications

Hardcover

Series: Studies in Big Data, Book 87

Technology & EngineeringGeneral Computers

ISBN10: 981336517X
ISBN13: 9789813365179
Publisher: Springer Nature
Published: Apr 20 2021
Pages: 172
Weight: 0.97
Height: 0.50 Width: 6.14 Depth: 9.21
Language: English
Chapter 1. What do RDMs capture in Brain Responses and Computational Models?.- Chapter 2. Challenges and solutions, in developing Convolutional Neural Networks and Long Short Term Memory networks, for industry problems.- Chapter 3. Speed, Cloth and Pose Invariant Gait recognition Based Person Identifification.- Chapter 4. Applications of Machine learning in industry 4.0.- Chapter 5. Web Semantics and Knowledge Graph.- Chapter 6. Machine Learning based Wireless Sensor Networks.- Chapter 7. AI to Machine Learning: lifeless automation and Issues.- Chapter 8. Analysis of FDIs in Different Sectors of the Indian Economy.- Chapter 9. Customer Profiling & Retention using Recommendation system and Factor Identification to predict Customer Chur In Telecom Industry.

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