Appendix 1. Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Learning Social Media Analytics with RRaghav Bali, Dipanjan Sarkar, Tushar Sharma

ISBN: 978-1-78712-752-4

• Learn how to tap into data from diverse social media platforms using the R ecosystem
• Use social media data to formulate and solve real-world problems
• Analyze user social networks and communities using concepts from graph theory and network analysis
• Learn to detect opinion and sentiment, extract themes, topics, and trends from unstructured noisy text data from diverse social media channels
• Understand the art of representing actionable insights with effective visualizations
• Analyze data from major social media channels such as Twitter, Facebook, Flickr, Foursquare, Github, StackExchange, and so on
• Learn to leverage popular R packages such as ggplot2, topicmodels, caret, e1071, tm, wordcloud, twittR, Rfacebook, dplyr, reshape2, and many more

Predictive Analytics with TensorflowMd. Rezaul Karim

ISBN: 978-1-78839-892-3

• Get a solid and theoretical understanding of linear algebra, statistics, and probability for predictive modeling
• Develop predictive models using classification, regression, and clustering algorithms
• Develop predictive models for NLP
• Learn how to use reinforcement learning for predictive analytics
• Factorization Machines for advanced recommendation systems
• Get a hands-on understanding of deep learning architectures for advanced predictive analytics
• Learn how to use deep Neural Networks for predictive analytics
• See how to use recurrent Neural Networks for predictive analytics
• Convolutional Neural Networks for emotion recognition, image classification, and sentiment analysis