The Pragmatic Programmer for Machine Learning by Marco Scutari
Machine learning has redefined the way we work with data and is increasingly becoming an indispensable part of everyday life, yet software engineering has played a remarkably small role compared to other disciplines. This book addresses such a disparity.-
Machine Learning
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Deep and Shallow
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Data Science and Machine Learning
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Bayesian Programming
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Multilinear Subspace Learning
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Regularization, Optimization, Kernels, and Support Vector Machines
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Deep Learning and Linguistic Representation
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Machine Learning, Animated
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Statistical Reinforcement Learning
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Sparse Modeling
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Entropy Randomization in Machine Learning
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Introduction to Machine Learning with Applications in Information Security
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A Concise Introduction to Machine Learning
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Ensemble Methods
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Artificial Intelligence and Causal Inference
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Transformers for Machine Learning
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Handbook of Natural Language Processing
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A First Course in Machine Learning
Marco Scutari is a Senior Researcher at Istituto Dalle Molle di Studi sull'Intelligenza Artificiale (IDSIA), Switzerland. He has held positions in statistics, statistical genetics and machine learning in the UK and Switzerland since completing his PhD in statistics in 2011. His research focuses on the theory of Bayesian networks and their applications to biological and clinical data, as well as statistical computing and software engineering.
Mauro Malvestio is a senior technologist based in Milan, Italy, with more than 15 years of experience in software engineering and IT operations in consulting and product companies as a CTO. His research focuses on software engineering, machine learning systems, embedded systems and cloud computing.
| SKU | Unavailable |
| ISBN 13 | 9780367255060 |
| ISBN 10 | 0367255065 |
| Title | The Pragmatic Programmer for Machine Learning |
| Author | Marco Scutari |
| Series | Chapman And Hall Crc Machine Learning And Pattern Recognition |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Taylor & Francis Ltd |
| Year published | 2025-04-13 |
| Number of pages | 340 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |