Hey everyone,
I’m looking to build a solid personal collection of AI/ML books – both the classics (foundations, theory, algorithms) and the modern ones that dive into Generative AI, LLMs, and applied deep learning.
I’m not after just tutorials or coding guides. I like books that are well-written, thought-provoking, or offer a deeper understanding of the “why” behind things. Bonus points if they’re visually engaging or have good real-world examples.
Some I’ve have in mind:
1) Deep Learning – Goodfellow et al.
2) Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow – Aurélien Géron
3) You Look Like a Thing and I Love You – Janelle Shane
4) Architects of Intelligence – Martin Ford
Would love to hear your recommendations. any underrated gems or recent GenAI-focused books worth owning in print?
Thanks in advance!
by Great_Credit6911