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    <subfield code="a">Machine learning with python :</subfield>
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    <subfield code="a">Includes bibliographical references, index.</subfield>
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    <subfield code="a">Contents: About the author &#x2014; 1. Introduction &#x2014; 2. Basics of python &#x2014; 3. Basic mathematical computations &#x2014; 4. Statistics and probability-based learning model &#x2014; 5. Prediction function and universal prediction theory &#x2014; 6. The perceptron and SVM &#x2014; 7. Activation functions and universal approximation theory &#x2014; 8. Automatic differentiation and autograd &#x2014; 8. Solution existence theory and optimization techniques &#x2014; 10 Loss function for regression &#x2014; 11 Loss functions and models for classification &#x2014; 12. Multiclass classification &#x2014; 13 Multilayer perceptron (MLP) for regression and classification &#x2014; 14 Overfitting and regularization &#x2014; 15. Convulutional neural network (CNN) for classification and object detection &#x2014; 16. Recurrent neural network (RNN) and sequence feature models &#x2014; 17 Unsupervised learning techniques &#x2014; 18 Reinforcement learning (RL) &#x2014; Index.</subfield>
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This compendium introduces the basic concepts, fundamental theories, essential computational techniques, codes, and applications related to ML models. With a strong foundation, one can comfortably learn related topics, methods, and algorithms. Most importantly, readers with strong fundamentals can even develop innovative and more effective machine models for his/her problems. The book is written to achieve this goal.

The useful reference text benefits professionals, academics, researchers, graduate and undergraduate students in AI, ML and neural networks." &#x2014;Provided by the publisher</subfield>
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