Computer Science

Basics of Linear Algebra for Machine Learning: Discover the Mathematical Language of Data in Python
Author: Jason Brownlee (MachineLearningMastery.com)
Short description: A step-by-step, practitioner-focused introduction to the linear algebra you actually use in machine learning, taught through concrete, executable Python examples rather than theory for theory’s sake.
Genre: Nonfiction — Computer Science / Machine Learning / Mathematics

Co-Intelligence: Living and Working with AI
Author: Ethan Mollick
A practical, plainspoken guide to using modern AI as a “co-worker”—how to prompt, iterate, verify, and integrate it into real work without falling for confident nonsense or outsourcing your judgment.
Genre: Nonfiction — Technology / Business / Artificial Intelligence

LLM Engineer’s Handbook: Master the art of engineering large language models from concept to production
Author: Paul Iusztin; Maxime Labonne
Short description: A production-first guide to building real-world LLM systems—data pipelines, RAG, fine-tuning, evaluation, deployment, monitoring, and inference optimization—organized around an end-to-end “LLM Twin” project rather than notebook demos.
Genre: Nonfiction — Computer Science / Artificial Intelligence / MLOps (LLMOps)

Why Machines Learn: The Elegant Math Behind Modern AI
Author: Anil Ananthaswamy
Short description: A narrative, accessible tour of the mathematics powering modern machine learning—from early ideas like perceptrons through today’s deep learning—explaining what’s “under the hood” without turning into a dry textbook.
Genre: Nonfiction — Popular Science / Artificial Intelligence / Mathematics

History

Endurance: Shackleton’s Incredible Voyage
Author: Alfred Lansing
A gripping narrative of Ernest Shackleton’s 1914–1916 Antarctic expedition—shipwrecked in pack ice, stranded on the frozen Weddell Sea, and brought home through extraordinary leadership, endurance, and sheer nerve.
Genre: Nonfiction — History / Adventure / Exploration

Other

Moonwalking with Einstein: The Art and Science of Remembering Everything
Author: Joshua Foer
Short description: A journalist dives into the world of competitive memory, learns mnemonic techniques firsthand, and uses the journey to explore how attention, practice, and mental “tools” can radically change what we’re capable of remembering.
Genre: Nonfiction — Memoir / Popular Science / Psychology