Nokeri, Tshepo Chris, <br/><br/>
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. 
<br/><br/>Chapter 1: Understanding Machine Learning and Deep Learning<br/>Chapter 2: Big Data Frameworks and ML and DL Frameworks<br/>Chapter 3: The Parametric Method Linear Regression<br/>Chapter 4: Survival Regression Analysis.-Chapter 5:The Non-Parametric Method - Classification<br/>Chapter 6:Tree-based Modelling and Gradient Boosting<br/>Chapter 7: Artificial Neural Networks<br/>Chapter 8: Cluster Analysis using K-Means<br/>Chapter 9: Dimension Reduction Principal Components Analysis<br/>Chapter 10: Automated Machine Learning 
<br/><br/> Apply supervised and unsupervised learning to solve practical and real-world big data problems 
<br/><br/><label>ISBN: </label>9781484283509 
<br/><br/><label>Subjects--Topical Terms: </label><br/>: Apprentissage automatique Electronic books Machine learning Python (Computer program language)
<br/><br/><label>Dewey Class. No.: </label>006.31  / NOK-D