Machine Learning with Python
portes grátis
Machine Learning with Python
Theory and Implementation
Zollanvari, Amin
Springer International Publishing AG
07/2023
452
Dura
Inglês
9783031333415
15 a 20 dias
Descrição não disponível.
Preface.- About This Book.- 1. Introduction.- 2. Getting Started with Python.- 3. Three Fundamental Python Packages.- 4. Supervised Learning in Practice: The First Application Using Scikit-Learn. - 5. K-Nearest Neighbors.- 6. Linear Models.- 7. Decision Trees.- 8. Ensemble Learning.- 9. Model Evaluation and Selection.- 10. Feature Selection.- 11. Assembling Various Learning Stages.- 12. Clustering.- 13. Deep Learning with Keras-TensorFlow. - 14. Convolutional Neural Networks.- 15. Recurrent Neural Networks.- References.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Keras-TensorFlow;Clustering;Convolutional Neural Networks;Decision Trees;Deep Learning;Ensemble Learning;Feature Selection;Machine Learning;Matplotlib;NumPy;Pandas;Pattern Recognition;Python Implementation;Recurrent Neural Networks;Scikit-Learn;Supervised Learning;Unsupervised Learning;XGBoost
Preface.- About This Book.- 1. Introduction.- 2. Getting Started with Python.- 3. Three Fundamental Python Packages.- 4. Supervised Learning in Practice: The First Application Using Scikit-Learn. - 5. K-Nearest Neighbors.- 6. Linear Models.- 7. Decision Trees.- 8. Ensemble Learning.- 9. Model Evaluation and Selection.- 10. Feature Selection.- 11. Assembling Various Learning Stages.- 12. Clustering.- 13. Deep Learning with Keras-TensorFlow. - 14. Convolutional Neural Networks.- 15. Recurrent Neural Networks.- References.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
