Machine Learning for Programmers: Python-First AI Models

Build Smarter Software with Machine Learning-Without Starting from ZeroIf you're a programmer who wants to break into artificial intelligence, Machine Learning for Programmers is your fast track. This book skips the math-heavy theory and goes straight into building intelligent, real-world applications using Python.Designed for developers, not data scientists, this guide focuses on practical implementation: loading data, training models, testing predictions, and deploying ML systems using tools you already know-like Python, scikit-learn, and TensorFlow.What You'll Learn: Core ML concepts made simple for codersHow to build classification, regression, and clustering modelsReal-world projects: spam filters, recommendation engines, and moreStep-by-step tutorials using Python and popular ML librariesData preparation and feature engineering explained clearlyHyperparameter tuning, model evaluation, and cross-validationThe basics of neural networks and deep learningHow to deploy models into live applications and servicesBest practices for clean, testable, production-ready ML codeYou don't need a PhD to get started-just Python skills and a problem to solve.Code smarter. Think in models. Build the future.

Author:

Booker Blunt

Publisher:

Independently Published

Publication Date:

Jun 28, 2025

Number of pages:

00260 pages

Binding:

Paperback or Softback

ISBN-10:

NA

ISBN-13:

9798290084473