Machine Learning : Theoretical Foundations and Practical Applications
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Overview
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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Details
- ISBN-13: 9789813365179
- ISBN-10: 981336517X
- Publisher: Springer
- Publish Date: April 2021
- Dimensions: 9.21 x 6.14 x 0.5 inches
- Shipping Weight: 0.97 pounds
- Page Count: 172
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