Applied machine learning and AI for engineers : solve business problems that can't be solved algorithmically
Material type: TextPublication details: O'Reilly, Sebastopol : ©2023Description: xx, 400 p. : ill. ; 23 cmISBN:- 9789355422354
- 006.31 PRO-A
Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|
Books | IIITD General Stacks | Computer Science and Engineering | 006.31 PRO-A (Browse shelf(Opens below)) | Available | 012040 |
This book includes an index.
I. Machine Learning with Scikit-Learn 1. Machine Learning 2. Regression Models 3. Classification Models 4. Text Classification 5. Support Vector Machines 6. Principal Component Analysis 7. Operationalizing Machine Learning Models II. Deep Learning with Keras and TensorFlow 8. Deep Learning 9. Neural Networks 10. Image Classification with Convolutional Neural Networks 11. Face Detection and Recognition 12. Object Detection 13. Natural Language Processing 14. Azure Cognitive Services
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