Python Machine Learning By Example
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Python Machine Learning By Example
Unlock machine learning best practices with real-world use cases
Liu, Yuxi (Hayden)
Packt Publishing Limited
05/2024
Mole
9781835085622
Pré-lançamento - envio 15 a 20 dias após a sua edição
Descrição não disponível.
Table of Contents
Getting Started with Machine Learning and Python
Building a Movie Recommendation Engine
Predicting Online Ad Click-Through with Tree-Based Algorithms
Predicting Online Ad Click-Through with Logistic Regression
Predicting Stock Prices with Regression Algorithms
Predicting Stock Prices with Artificial Neural Networks
Mining the 20 Newsgroups Dataset with Text Analysis Techniques
Discovering Underlying Topics in the Newsgroups Dataset with Clustering and Topic Modeling
Recognizing Faces with Support Vector Machine
Machine Learning Best Practices
Categorizing Images of Clothing with Convolutional Neural Networks
Making Predictions with Sequences Using Recurrent Neural Networks
Advancing Language Understanding and Generation with Transformer Models
Building An Image Search Engine Using Multimodal Models
Making Decisions in Complex Environments with Reinforcement Learning
Getting Started with Machine Learning and Python
Building a Movie Recommendation Engine
Predicting Online Ad Click-Through with Tree-Based Algorithms
Predicting Online Ad Click-Through with Logistic Regression
Predicting Stock Prices with Regression Algorithms
Predicting Stock Prices with Artificial Neural Networks
Mining the 20 Newsgroups Dataset with Text Analysis Techniques
Discovering Underlying Topics in the Newsgroups Dataset with Clustering and Topic Modeling
Recognizing Faces with Support Vector Machine
Machine Learning Best Practices
Categorizing Images of Clothing with Convolutional Neural Networks
Making Predictions with Sequences Using Recurrent Neural Networks
Advancing Language Understanding and Generation with Transformer Models
Building An Image Search Engine Using Multimodal Models
Making Decisions in Complex Environments with Reinforcement Learning
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Table of Contents
Getting Started with Machine Learning and Python
Building a Movie Recommendation Engine
Predicting Online Ad Click-Through with Tree-Based Algorithms
Predicting Online Ad Click-Through with Logistic Regression
Predicting Stock Prices with Regression Algorithms
Predicting Stock Prices with Artificial Neural Networks
Mining the 20 Newsgroups Dataset with Text Analysis Techniques
Discovering Underlying Topics in the Newsgroups Dataset with Clustering and Topic Modeling
Recognizing Faces with Support Vector Machine
Machine Learning Best Practices
Categorizing Images of Clothing with Convolutional Neural Networks
Making Predictions with Sequences Using Recurrent Neural Networks
Advancing Language Understanding and Generation with Transformer Models
Building An Image Search Engine Using Multimodal Models
Making Decisions in Complex Environments with Reinforcement Learning
Getting Started with Machine Learning and Python
Building a Movie Recommendation Engine
Predicting Online Ad Click-Through with Tree-Based Algorithms
Predicting Online Ad Click-Through with Logistic Regression
Predicting Stock Prices with Regression Algorithms
Predicting Stock Prices with Artificial Neural Networks
Mining the 20 Newsgroups Dataset with Text Analysis Techniques
Discovering Underlying Topics in the Newsgroups Dataset with Clustering and Topic Modeling
Recognizing Faces with Support Vector Machine
Machine Learning Best Practices
Categorizing Images of Clothing with Convolutional Neural Networks
Making Predictions with Sequences Using Recurrent Neural Networks
Advancing Language Understanding and Generation with Transformer Models
Building An Image Search Engine Using Multimodal Models
Making Decisions in Complex Environments with Reinforcement Learning
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
