Back to Search
ISBN 9798292142331 is currently unpriced. Please contact us for pricing.
Available options are listed below:

Mastering AI with Python: From Machine Learning Basics to Building Real World AI Applications

AUTHOR Greystone, Elian
PUBLISHER Independently Published (07/11/2025)
PRODUCT TYPE Paperback (Paperback)

Description

Harness the Power of AI - with the Language of the Future.

Mastering AI with Python is a hands-on, step-by-step guide to learning the core principles of artificial intelligence and applying them using Python, the most popular language in AI today. Whether you're a beginner or a developer transitioning into AI, this book equips you with the tools, libraries, and real-world techniques to build intelligent systems that learn, adapt, and solve real problems.

You'll cover everything from machine learning fundamentals to building AI-powered applications with tools like Scikit-learn, TensorFlow, Keras, OpenCV, and Natural Language Toolkit (NLTK). With projects covering computer vision, NLP, recommendation systems, and more, you'll gain the confidence to deploy your own AI solutions in production.


Show More
Product Format
Product Details
ISBN-13: 9798292142331
Binding: Paperback or Softback (Trade Paperback (Us))
Content Language: English
More Product Details
Page Count: 194
Carton Quantity: 40
Product Dimensions: 6.00 x 0.41 x 9.00 inches
Weight: 0.59 pound(s)
Country of Origin: US
Subject Information
BISAC Categories
Computers | Languages - Python
Descriptions, Reviews, Etc.
publisher marketing

Harness the Power of AI - with the Language of the Future.

Mastering AI with Python is a hands-on, step-by-step guide to learning the core principles of artificial intelligence and applying them using Python, the most popular language in AI today. Whether you're a beginner or a developer transitioning into AI, this book equips you with the tools, libraries, and real-world techniques to build intelligent systems that learn, adapt, and solve real problems.

You'll cover everything from machine learning fundamentals to building AI-powered applications with tools like Scikit-learn, TensorFlow, Keras, OpenCV, and Natural Language Toolkit (NLTK). With projects covering computer vision, NLP, recommendation systems, and more, you'll gain the confidence to deploy your own AI solutions in production.


Show More
Paperback