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About the Bundle This bundle includes the following books: Machine Learning Engineering with Python by Andrew P. McMahon # Building LLM Powered Applications by Valentina Alto XGBoost for Regression Predictive Modeling and Time Series Analysis by Partha Pritam Deka, Joyce Weiner Mastering NLP from Foundations to LLMs by Gazit, Meysam Ghaffari Mastering PyTorch by Ashish Ranjan Jha Python Feature Engineering Cookbook by Soledad Galli Hands-On Genetic Algorithms with Python by Eyal Wirsansky The Machine Learning Solutions Architect Handbook by David Ping Causal Inference and Discovery in Python by Aleksander Molak TinyML Cookbook by Gian Marco Iodice RAG-Driven Generative AI by Denis Rothman 15 Math Concepts Every Data Scientist Should Know by David Hoyle Machine Learning with PyTorch and Scikit-Learn by Sebastian Raschka, Yuxi (Hayden) Liu, Vahid Mirjalili Machine Learning with R by Brett Lantz Bayesian Analysis with Python by Martin Causal Inference in R by Subhajit Das Artificial Intelligence for Cybersecurity by Bojan Kolosnjaji, Huang Xiao, Peng Xu, Apostolis Zarras Modern Time Series Forecasting with Python by Manu Joseph, Jeffrey Tackes Python Machine Learning By Example by Yuxi (Hayden) Liu LLM Engineer’s Handbook by Paul Iusztin, Maxime Labonne Deep Reinforcement Learning Hands-On by Maxim Lapan