A Concise Introduction to Machine Learning by Ac Faul
A Concise Introduction to Machine Learning uses mathematics as the common language to explain a variety of machine learning concepts from basic principles and illustrates every concept using examples in both Python and MATLAB, which are available on GitHub and can be run from there in Binder in a web browser.-
Machine Learning
-
Deep and Shallow
-
A First Course in Machine Learning
-
Data Science and Machine Learning
-
Bayesian Programming
-
Multilinear Subspace Learning
-
Regularization, Optimization, Kernels, and Support Vector Machines
-
Deep Learning and Linguistic Representation
-
Machine Learning, Animated
-
Statistical Reinforcement Learning
-
Sparse Modeling
-
Entropy Randomization in Machine Learning
-
Introduction to Machine Learning with Applications in Information Security
-
The Pragmatic Programmer for Machine Learning
-
Ensemble Methods
-
Artificial Intelligence and Causal Inference
-
Transformers for Machine Learning
-
Handbook of Natural Language Processing
“Artificial intelligence technologies will be transformational for our society, but not in the manner that the confident proclaimers of utopia and dystopia suggestThe changes we expect are sociotechnical; they require careful understanding from both the societal and technical perspectives. This is where Anita Faul's A Concise Introduction to Machine Learning comes in. With comprehensive coverage of the mathematical principles of machine learning, Anita's book provides the foundation of principled choices that students need to make good decisions when separating the noise from the signal. This foundation is critical to ensuring that we develop the beneficial aspects of the technology while curtailing the damaging outcomes. This can only occur through comprehensive understanding of the capabilities and limitations of these techniques.
Welcome to Anita’s world: a concise introduction to machine learning that builds on solid foundations, practical real-world experience and a long experience of sharing these principles with students.”
- Neil Lawrence, The DeepMind Professor of Machine Learning, University of Cambridge. Senior AI Fellow, The Alan Turing Institute. Visiting Professor of Machine Learning, University of Sheffield
A.C. Faul is a passionate educator believing that only with deep understanding of the underlying connecting principles of algorithms can progress be made. She obtained an MASt and PhD in Mathematics at the University of Cambridge. She has worked on a variety of algorithms both in industry and academic settings.
| SKU | Unavailable |
| ISBN 13 | 9781032878140 |
| ISBN 10 | 1032878142 |
| Title | A Concise Introduction to Machine Learning |
| Author | Ac Faul |
| Series | Chapman And Hall Crc Machine Learning And Pattern Recognition |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Taylor & Francis Ltd |
| Year published | 2025-04-30 |
| Number of pages | 324 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |