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
R Deep Learning Cookbook
Dr. PKS Prakash, Achyutuni Sri Krishna Rao
ISBN: 9781787121089
- Build deep learning models in different application areas using TensorFlow, H2O, and MXnet.
- Analyzing a Deep boltzmann machine
- Setting up and Analysing Deep belief networks
- Building supervised model using various machine learning algorithms
- Set up variants of basic convolution function
- Represent data using Autoencoders.
- Explore generative models available in Deep Learning.
- Discover sequence modeling using Recurrent nets
- Learn fundamentals of Reinforcement Leaning
- Learn the steps involved in applying Deep Learning in text mining
- Explore application of deep learning in signal processing
- Utilize Transfer learning for utilizing pre-trained model
- Train a deep learning model on a GPU