Mastering Data Science with R

Inside, you'll find:
- Advanced Statistical Learning: Master complex regression models, generalized additive models, survival analysis, and mixed-effects models.
- Machine Learning Mastery: Explore ensemble methods, neural networks, reinforcement learning, and sophisticated unsupervised learning techniques.
- Specialized Algorithms: Dive into Bayesian data analysis, hidden Markov models, functional data analysis, and more.
- State-of-the-Art NLP and Image Processing: Harness the power of transformer models, advanced text generation, image recognition, and beyond.
- Time Series and Sequential Data Expertise: Become adept in LSTM networks, advanced state space models, and vector autoregression.
Every chapter is packed with practical applications, real-world case studies, and R code snippets to guide you through the intricacies of advanced data analysis. Transform your approach with topics like quantum machine learning, ethical AI, federated learning, and explainable AI (XAI).
Whether you're optimizing complex decision trees, implementing CatBoost and LightGBM, or deploying models into production, this book equips you with the advanced skills and techniques you need to succeed in today's rapidly evolving data landscape.