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MACHINE LEARNING: THE ART AND SCIENCE OF ALGORITHMS THAT MAKE SENSE OF DATA

By: FLACH PETER.
Material type: materialTypeLabelBookPublisher: NEW DELHI CAMBRIDGE UNIVERSITY PRESS 2015Description: xvii, 396.ISBN: 978-1-316-50611-0.DDC classification: 006.31/FLA Summary: '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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Books Books Symbiosis Institute of Computer Studies and Research
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006.31/FLA (Browse shelf) Checked out 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. 28/07/2018 SICSR-B-19506
Books Books Symbiosis Institute of Computer Studies and Research
Algorithm
006.31/FLA (Browse shelf) Checked out 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. 27/07/2018 SICSR-B-19507
Books Books Symbiosis Institute of Computer Studies and Research
Algorithm
006.31/FLA (Browse shelf) 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 Books Symbiosis Institute of Computer Studies and Research
Algorithm
006.31/FLA (Browse shelf) 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 Books Symbiosis Institute of Computer Studies and Research
Algorithm
006.31/FLA (Browse shelf) 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 Books Symbiosis Institute of Computer Studies and Research
Algorithm
SICSR 006.31/FLA (Browse shelf) Checked out 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. 23/10/2017 SICSR-B-19425
Books Books Symbiosis Institute of Computer Studies and Research
Algorithm
006.31/FLA (Browse shelf) Checked out 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. 11/08/2018 SICSR-B-19419
Books Books Symbiosis Institute of Computer Studies and Research
Algorithm
006.31/FLA (Browse shelf) Checked out 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. 23/07/2018 SICSR-B-19420
Books Books Symbiosis Institute of Computer Studies and Research
Algorithm
006.31/FLA (Browse shelf) Checked out 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. 30/04/2018 SICSR-B-19421
Books Books Symbiosis Institute of Computer Studies and Research
Algorithm
006.31/FLA (Browse shelf) Checked out 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. 06/08/2018 SICSR-B-19422
Books Books Symbiosis Institute of Computer Studies and Research
Algorithm
006.31/FLA (Browse shelf) Checked out 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. 14/08/2018 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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