Data Science Solutions with Python : Fast and Scalable Models Using Keras, PySpark MLlib, H2O, XGBoost, and Scikit-Learn
Nokeri, Tshepo Chris,
Data Science Solutions with Python : Fast and Scalable Models Using Keras, PySpark MLlib, H2O, XGBoost, and Scikit-Learn By Tshepo Chris Nokeri - 1 - Apress, c2022. - i-xvi+119P.
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
Apply supervised and unsupervised learning to solve practical and real-world big data problems
9781484283509
: Apprentissage automatique Electronic books Machine learning Python (Computer program language)
006.31 / NOK-D
Data Science Solutions with Python : Fast and Scalable Models Using Keras, PySpark MLlib, H2O, XGBoost, and Scikit-Learn By Tshepo Chris Nokeri - 1 - Apress, c2022. - i-xvi+119P.
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
Apply supervised and unsupervised learning to solve practical and real-world big data problems
9781484283509
: Apprentissage automatique Electronic books Machine learning Python (Computer program language)
006.31 / NOK-D