If you enjoyed this book, you may be interested in these other books by Packt:
Machine Learning with R Cookbook - Second Edition
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ISBN: 9781787284395
- Create and inspect transaction datasets and perform association analysis with the Apriori algorithm
- Visualize patterns and associations using a range of graphs and find frequent item-sets using the Eclat algorithm
- Compare differences between each regression method to discover how they solve problems
- Detect and impute missing values in air quality data
- Predict possible churn users with the classification approach
- Plot the autocorrelation function with time series analysis
- Use the Cox proportional hazards model for survival analysis
- Implement the clustering method to segment customer data
- Compress images with the dimension reduction method
- Incorporate R and Hadoop to solve machine learning problems on big data
Machine Learning Algorithms - Second Edition
Giuseppe Bonaccorso
ISBN: 9781789347999
- Study feature selection and the feature engineering process
- Assess performance and error trade-offs for linear regression
- Build a data model and understand how it works by using different types of algorithm
- Learn to tune the parameters of Support Vector Machines (SVM)
- Explore the concept of natural language processing (NLP) and recommendation systems
- Create a machine learning architecture from scratch
R Deep Learning Essentials - Second Edition
Mark Hodnett, Joshua F. Wiley
ISBN: 9781788992893
- Build shallow neural network prediction models
- Prevent models from overfitting the data to improve generalizability
- Explore techniques for finding the best hyperparameters for deep learning models
- Create NLP models using Keras and TensorFlow in R
- Use deep learning for computer vision tasks
- Implement deep learning tasks, such as NLP, recommendation systems, and autoencoders