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Hands On Machine Learning with Scikit Learn and PyTorch: Concepts, Tools, Techniques...

Product Roadmaps Relaunched: How to Set Direction while Embracing Uncertainty

Building Machine Learning Systems with a Feature Store: Batch, Real Time, and LLM

Product Management in Practice: A Practical, Tactical Guide for Your First Day...

Learning Domain Driven Design: Aligning Software Architecture and Business Strategy

Vision Language Models: Building VLMs with Hugging Face

SQL Cookbook: Query Solutions and Techniques for All Users

Introducing MLOps: How to Scale Machine Learning in the Enterprise

Learning Spark: Lightning fast Data Analytics

Continuous Deployment: Enable Faster Feedback, Safer Releases, and More Reliable Software

Head First Design Patterns

Hands On Programming with R: Write Your Own Functions and Simulations

Learning Github Actions: Automation and Integration of CI/CD with

Arduino Cookbook: Recipes to Begin, Expand, and Enhance Your Projects

Data Driven Design: Improving User Experience with A/B Testing

Concurrency in C# Cookbook: Asynchronous, Parallel, and Multithreaded Programming

Practical Natural Language Processing: A Comprehensive Guide to Building Real World NLP Systems

UX Strategy: Product Strategy Techniques for Devising Innovative Digital Solutions

Mastering Shiny: Build Interactive Apps, Reports, and Dashboards Powered by R

Making Things Happen : Theory in Practice: Mastering Project Management

Head First Android Development: A Learner's Guide to Building Apps With Kotlin

Architecting Data and Machine Learning Platforms: Enable Analytics Ai Driven Innovation in the Cloud

Colorwise: A Data Storyteller's Guide to the Intentional Use of Color

Building Evolutionary Architectures: Automated Software Governance

Learning Python: Powerful Object Oriented Programming

ML and Generative AI in the Data Lakehouse: Building Deploying Applications at Scale

Java Network Programming: Developing Networked Applications

AI and ML for Coders in Pytorch: A Coder's Guide to Generative Machine Learning

Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model...

Practical MLOps: Operationalizing Machine Learning Models