"Financial Theory with Python: A Gentle Introduction" at amzn.to/3vvnq4D by @dyjh ———— #Finance #DataScience #DataScientist #Numpy #PANDAS #Mathematics

Hands-On Unsupervised Learning Using Python — How to Build Applied Machine Learning Solutions from Unlabeled Data: link.amazon/B0dVm2mci

• Designing Machine Learning Systems: amzn.to/46epLSi • AI Engineering: amzn.to/4aiSv1O • Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: amzn.to/3xGyufi • AI-Assisted Statistics for Data Scientists: link.amazon/B0i938txg

Before Machine Learning [Volume 3] - Probability & Statistics for AI: The Fundamental Mathematics for Data Science and AI [400 pages] Get it here: amzn.to/4vda8qT Also... Vol. 1 - Linear Algebra: amzn.to/3QBnHlM Vol. 2 - Calculus: amzn.to/4gQd4WD Now ML - Supervised Learning: amzn.to/3SCkqTP

Reinforcement Learning — Industrial Applications of Intelligent Agents: link.amazon/B00Bo8Cnk Practical book with these benefits: • Learn what RL is and how the algorithms help solve problems • Become grounded in RL fundamentals including Markov decision processes, dynamic programming, and temporal difference learning • Dive deep into a range of value and policy gradient methods • Apply advanced RL solutions such as meta learning, hierarchical learning, multi-agent, and imitation learning • Understand cutting-edge deep RL algorithms including Rainbow, PPO, TD3, SAC, and more • Get practical examples through the accompanying website

See the impressive collection of @OReillyMedia Machine Learning / AI / Data Science books at: amzn.to/3icyoqJ