MACHINE LEARNING: THE ART AND SCIENCE OF ALGORITHMS THAT MAKE SENSE OF DATA
Material type: TextPublication details: NEW DELHI CAMBRIDGE UNIVERSITY PRESS 2015Description: xvii, 396ISBN:- 978-1-316-50611-0
- 006.31/FLA
Item type | Current library | Collection | Call number | Status | Notes | Date due | Barcode |
---|---|---|---|---|---|---|---|
Books | Symbiosis Institute of Computer Studies and Research Algorithm | 006.31/FLA (Browse shelf(Opens below)) | Available | THE INGREDIENTS OF MACHINE LEARNING , BINARY CLASSIFICATION AND RELATED TASKS, BEYOND BINARY CLASSIFICATION, CONCEPT LEARNING, TREE MODELS, RULE MODELS, LINEAR MODELS , DISTANCE-BASED MODELS, PROBABILISTIC MODELS, FEATURES, MODEL ENSEMBLES, MACHINE LEARNING EXPERIMENTS, EPILOGUE: WHERE TO GO FROM HERE. | SICSR-B-19506 | ||
Books | Symbiosis Institute of Computer Studies and Research Algorithm | 006.31/FLA (Browse shelf(Opens below)) | Available | THE INGREDIENTS OF MACHINE LEARNING , BINARY CLASSIFICATION AND RELATED TASKS, BEYOND BINARY CLASSIFICATION, CONCEPT LEARNING, TREE MODELS, RULE MODELS, LINEAR MODELS , DISTANCE-BASED MODELS, PROBABILISTIC MODELS, FEATURES, MODEL ENSEMBLES, MACHINE LEARNING EXPERIMENTS, EPILOGUE: WHERE TO GO FROM HERE. | SICSR-B-19507 | ||
Books | Symbiosis Institute of Computer Studies and Research Algorithm | 006.31/FLA (Browse shelf(Opens below)) | Available | THE INGREDIENTS OF MACHINE LEARNING , BINARY CLASSIFICATION AND RELATED TASKS, BEYOND BINARY CLASSIFICATION, CONCEPT LEARNING, TREE MODELS, RULE MODELS, LINEAR MODELS , DISTANCE-BASED MODELS, PROBABILISTIC MODELS, FEATURES, MODEL ENSEMBLES, MACHINE LEARNING EXPERIMENTS, EPILOGUE: WHERE TO GO FROM HERE. | SICSR-B-19508 | ||
Books | Symbiosis Institute of Computer Studies and Research Algorithm | 006.31/FLA (Browse shelf(Opens below)) | Available | THE INGREDIENTS OF MACHINE LEARNING , BINARY CLASSIFICATION AND RELATED TASKS, BEYOND BINARY CLASSIFICATION, CONCEPT LEARNING, TREE MODELS, RULE MODELS, LINEAR MODELS , DISTANCE-BASED MODELS, PROBABILISTIC MODELS, FEATURES, MODEL ENSEMBLES, MACHINE LEARNING EXPERIMENTS, EPILOGUE: WHERE TO GO FROM HERE. | SICSR-B-19509 | ||
Books | Symbiosis Institute of Computer Studies and Research Algorithm | 006.31/FLA (Browse shelf(Opens below)) | Available | THE INGREDIENTS OF MACHINE LEARNING , BINARY CLASSIFICATION AND RELATED TASKS, BEYOND BINARY CLASSIFICATION, CONCEPT LEARNING, TREE MODELS, RULE MODELS, LINEAR MODELS , DISTANCE-BASED MODELS, PROBABILISTIC MODELS, FEATURES, MODEL ENSEMBLES, MACHINE LEARNING EXPERIMENTS, EPILOGUE: WHERE TO GO FROM HERE. | SICSR-B-19510 | ||
Books | Symbiosis Institute of Computer Studies and Research Algorithm | SICSR | 006.31/FLA (Browse shelf(Opens below)) | Available | THE INGREDIENTS OF MACHINE LEARNING , BINARY CLASSIFICATION AND RELATED TASKS, BEYOND BINARY CLASSIFICATION, CONCEPT LEARNING, TREE MODELS, RULE MODELS, LINEAR MODELS , DISTANCE-BASED MODELS, PROBABILISTIC MODELS, FEATURES, MODEL ENSEMBLES, MACHINE LEARNING EXPERIMENTS, EPILOGUE: WHERE TO GO FROM HERE. | SICSR-B-19425 | |
Books | Symbiosis Institute of Computer Studies and Research Algorithm | 006.31/FLA (Browse shelf(Opens below)) | Available | THE INGREDIENTS OF MACHINE LEARNING , BINARY CLASSIFICATION AND RELATED TASKS, BEYOND BINARY CLASSIFICATION, CONCEPT LEARNING, TREE MODELS, RULE MODELS, LINEAR MODELS , DISTANCE-BASED MODELS, PROBABILISTIC MODELS, FEATURES, MODEL ENSEMBLES, MACHINE LEARNING EXPERIMENTS, EPILOGUE: WHERE TO GO FROM HERE. | SICSR-B-19419 | ||
Books | Symbiosis Institute of Computer Studies and Research Algorithm | 006.31/FLA (Browse shelf(Opens below)) | Available | THE INGREDIENTS OF MACHINE LEARNING , BINARY CLASSIFICATION AND RELATED TASKS, BEYOND BINARY CLASSIFICATION, CONCEPT LEARNING, TREE MODELS, RULE MODELS, LINEAR MODELS , DISTANCE-BASED MODELS, PROBABILISTIC MODELS, FEATURES, MODEL ENSEMBLES, MACHINE LEARNING EXPERIMENTS, EPILOGUE: WHERE TO GO FROM HERE. | SICSR-B-19420 | ||
Books | Symbiosis Institute of Computer Studies and Research Algorithm | 006.31/FLA (Browse shelf(Opens below)) | Available | THE INGREDIENTS OF MACHINE LEARNING , BINARY CLASSIFICATION AND RELATED TASKS, BEYOND BINARY CLASSIFICATION, CONCEPT LEARNING, TREE MODELS, RULE MODELS, LINEAR MODELS , DISTANCE-BASED MODELS, PROBABILISTIC MODELS, FEATURES, MODEL ENSEMBLES, MACHINE LEARNING EXPERIMENTS, EPILOGUE: WHERE TO GO FROM HERE. | SICSR-B-19421 | ||
Books | Symbiosis Institute of Computer Studies and Research Algorithm | 006.31/FLA (Browse shelf(Opens below)) | Available | THE INGREDIENTS OF MACHINE LEARNING , BINARY CLASSIFICATION AND RELATED TASKS, BEYOND BINARY CLASSIFICATION, CONCEPT LEARNING, TREE MODELS, RULE MODELS, LINEAR MODELS , DISTANCE-BASED MODELS, PROBABILISTIC MODELS, FEATURES, MODEL ENSEMBLES, MACHINE LEARNING EXPERIMENTS, EPILOGUE: WHERE TO GO FROM HERE. | SICSR-B-19422 | ||
Books | Symbiosis Institute of Computer Studies and Research Algorithm | 006.31/FLA (Browse shelf(Opens below)) | Available | THE INGREDIENTS OF MACHINE LEARNING , BINARY CLASSIFICATION AND RELATED TASKS, BEYOND BINARY CLASSIFICATION, CONCEPT LEARNING, TREE MODELS, RULE MODELS, LINEAR MODELS , DISTANCE-BASED MODELS, PROBABILISTIC MODELS, FEATURES, MODEL ENSEMBLES, MACHINE LEARNING EXPERIMENTS, EPILOGUE: WHERE TO GO FROM HERE. | SICSR-B-19423 |
'Machine Learning' brings together all the state-of-the-art methods for making sense of data. With hundreds of worked examples and explanatory figures, it explains the principles behind these methods in an intuitive yet precise manner and will appeal to novice and experienced readers alike.
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