Deep Learning: Computer Vision, Python Machine Learning And Neural Networks

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Data Warehousing: Optimizing Data Storage And Retrieval For Business Success

AI Engineering: Building Applications with Foundation Models

Algorithms: Computer Science Unveiled

Machine Learning Algorithms: Handbook: A step-by-step guide to all Machine Learning algorithms with implementation using Python!

Cryptography And Computer Science: Design Manual For Algorithms, Codes And Ciphers

Dataclysm: Love, Sex, Race, and Identity--What Our Online Lives Tell Us about Our Offline Selves

Power BI: Data Mastery Made Easy

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

Bioinformatics: Algorithms, Coding, Data Science And Biostatistics

Prompt Engineering - The Ultimate Guide for Success in Artificial Intelligence

Microservices: Novice To Ninja: Build, Design And Deploy Distributed Services

LLM Engineer's Handbook: Master the art of engineering large language models from concept to production

Big Data: Statistics, Data Mining, Analytics, And Pattern Learning

Predictive Analytics Applications with WEKA

Neural Network Programming: How To Create Modern AI Systems With Python, Tensorflow, And Keras

Practical Lakehouse Architecture: Designing and Implementing Modern Data Platforms at Scale

System Design Interview: 300 Questions And Answers: Prepare And Pass

Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh