Concise Introduction to Machine Learning
Concise Introduction to Machine Learning
Faul, A.C.
Taylor & Francis Ltd
04/2025
324
Dura
9781032878171
Pré-lançamento - envio 15 a 20 dias após a sua edição
Descrição não disponível.
Chapter 1. Introduction
Chapter 2. Probability Theory
Chapter 3. Sampling
Chapter 4. Linear Classification
Chapter 5. Non-Linear Classification
Chapter 6. Dimensionality Reduction
Chapter 7. Regression
Chapter 8. Feature Learning
Appendix A. Matrix Formulae
Index
Chapter 2. Probability Theory
Chapter 3. Sampling
Chapter 4. Linear Classification
Chapter 5. Non-Linear Classification
Chapter 6. Dimensionality Reduction
Chapter 7. Regression
Chapter 8. Feature Learning
Appendix A. Matrix Formulae
Index
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
algorithms;deep learning;classification;clustering;feature learning;dimensionality reduction;sampling algorithms;machine learning techniques;intuition development;Artificial Intelligence
Chapter 1. Introduction
Chapter 2. Probability Theory
Chapter 3. Sampling
Chapter 4. Linear Classification
Chapter 5. Non-Linear Classification
Chapter 6. Dimensionality Reduction
Chapter 7. Regression
Chapter 8. Feature Learning
Appendix A. Matrix Formulae
Index
Chapter 2. Probability Theory
Chapter 3. Sampling
Chapter 4. Linear Classification
Chapter 5. Non-Linear Classification
Chapter 6. Dimensionality Reduction
Chapter 7. Regression
Chapter 8. Feature Learning
Appendix A. Matrix Formulae
Index
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.