

Transformers for Machine Learning by Uday Kamath
Transformers are becoming a core part of many neural network architectures, employed in a wide range of applications such as NLP, Speech Recognition, Time Series, and Computer Vision. Transformers have gone through many adaptations and alterations, resulting in newer techniques and methods. This is the first comprehensive book on transformers.-
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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The Pragmatic Programmer for Machine Learning
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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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Handbook of Natural Language Processing
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A First Course in Machine Learning
| SKU | Unavailable |
| ISBN 13 | |
| ISBN 10 | |
| Title | Transformers for Machine Learning |
| Author | Uday Kamath |
| Series | |
| Condition | Unavailable |
| Binding Type | |
| Publisher | |
| Year published | |
| Number of pages | |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |
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