If you enjoyed this book, you may be interested in these other books by Packt:
Learning Social Media Analytics with R
Raghav 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 Tensorflow
Md. 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