reference data architecture

Designing Large Language Model Applications - by Suhas Pai (Paperback)

Mastering Financial Pattern Recognition - by Sofien Kaabar (Paperback)

Build a Reasoning Model (from Scratch) - (From Scratch) by Sebastian Raschka (Paperback)

Developing High-Frequency Trading Systems - by Sebastien Donadio & Sourav Ghosh & Romain Rossier (Paperback)

Observability Engineering - by Charity Majors & Liz Fong-Jones & George Miranda (Paperback)

The C4 Model - by Simon Brown (Paperback)

Retrieval Augmented Generation, the Foundational Ideas - by Ben Auffarth (Paperback)

Low-Code AI - by Gwendolyn Stripling & Michael Abel (Paperback)

Deep Reinforcement Learning in Action - by Alexander Zai & Brandon Brown (Paperback)

Deep Learning - by Andrew Glassner (Paperback)

Product Operations - by Melissa Perri & Denise Tilles (Paperback)

Raspberry Pi Projects for Dummies - by Mike Cook & Jonathan Evans & Brock Craft (Paperback)

The Technology Book - (DK Big Ideas) by DK (Hardcover)

Build a Multi-Agent System (from Scratch) - (From Scratch) by Val Andrei Fajardo (Paperback)

Hands-On Generative AI with Transformers and Diffusion Models - by Omar Sanseviero & Pedro Cuenca & Apolinário Passos & Jonathan Whitaker

Practical Tableau - by Ryan Sleeper (Paperback)

Deep Learning for Finance - by Sofien Kaabar (Paperback)

Essential Math for AI - by Hala Nelson (Paperback)

Mongodb: The Definitive Guide - 3rd Edition by Shannon Bradshaw & Eoin Brazil & Kristina Chodorow (Paperback)

Practical MLOps - by Noah Gift & Alfredo Deza (Paperback)

Machine Learning for Financial Risk Management with Python - by Abdullah Karasan (Paperback)

Deep Learning - by Josh Patterson & Adam Gibson (Paperback)

Machine Learning Engineering - by Andriy Burkov (Paperback)

Machine Learning for Dummies - 3rd Edition by Luca Massaron & John Paul Mueller (Paperback)