Data Science Solutions with Python
portes grátis
Data Science Solutions with Python
Fast and Scalable Models Using Keras, PySpark MLlib, H2O, XGBoost, and Scikit-Learn
Nokeri, Tshepo Chris
APress
10/2021
119
Mole
Inglês
9781484277614
15 a 20 dias
274
Descrição não disponível.
Chapter 1: Understanding Machine Learning and Deep Learning.- Chapter 2: Big Data Frameworks and ML and DL Frameworks.- Chapter 3: The Parametric Method - Linear Regression.- Chapter 4: Survival Regression Analysis.-Chapter 5:The Non-Parametric Method - Classification.- Chapter 6:Tree-based Modelling and Gradient Boosting.- Chapter 7: Artificial Neural Networks.- Chapter 8: Cluster Analysis using K-Means.- Chapter 9: Dimension Reduction - Principal Components Analysis.- Chapter 10: Automated Machine Learning.
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Big Data Analytics;Machine Learning;Deep Learning;Python;Python Frameworks;Keras;Scikit-learn;PySpark;H2O;MLib;XGBoost
Chapter 1: Understanding Machine Learning and Deep Learning.- Chapter 2: Big Data Frameworks and ML and DL Frameworks.- Chapter 3: The Parametric Method - Linear Regression.- Chapter 4: Survival Regression Analysis.-Chapter 5:The Non-Parametric Method - Classification.- Chapter 6:Tree-based Modelling and Gradient Boosting.- Chapter 7: Artificial Neural Networks.- Chapter 8: Cluster Analysis using K-Means.- Chapter 9: Dimension Reduction - Principal Components Analysis.- Chapter 10: Automated Machine Learning.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
