menu
{ "item_title" : "Introduction to Artificial Intelligence", "item_author" : [" Rafael Sanders", "Miguel Farmer "], "item_description" : "Introduction to Artificial Intelligence: Build Your First AI Model with Python is the perfect guide to getting started with AI and machine learning using Python. Whether you're new to AI or want to enhance your skills, this step-by-step guide will walk you through the basics of artificial intelligence and how to build your first AI model.You'll learn about the foundational concepts of AI, including supervised and unsupervised learning, neural networks, and model evaluation, using Python's powerful libraries like scikit-learn and TensorFlow. By the end of the book, you will be equipped to build, train, and evaluate your own AI models, laying the groundwork for advanced AI applications.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/79/828/011/9798280119673_b.jpg", "price_data" : { "retail_price" : "19.99", "online_price" : "19.99", "our_price" : "19.99", "club_price" : "19.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Introduction to Artificial Intelligence|Rafael Sanders

Introduction to Artificial Intelligence : Build Your First AI Model with Python: A Step-by-Step Guide to Getting Started with AI and Machine Learning

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

Introduction to Artificial Intelligence: Build Your First AI Model with Python is the perfect guide to getting started with AI and machine learning using Python. Whether you're new to AI or want to enhance your skills, this step-by-step guide will walk you through the basics of artificial intelligence and how to build your first AI model.

You'll learn about the foundational concepts of AI, including supervised and unsupervised learning, neural networks, and model evaluation, using Python's powerful libraries like scikit-learn and TensorFlow. By the end of the book, you will be equipped to build, train, and evaluate your own AI models, laying the groundwork for advanced AI applications.

This item is Non-Returnable

Details

  • ISBN-13: 9798280119673
  • ISBN-10: 9798280119673
  • Publisher: Independently Published
  • Publish Date: April 2025
  • Dimensions: 9 x 6 x 0.66 inches
  • Shipping Weight: 0.93 pounds
  • Page Count: 314

Related Categories

You May Also Like...

    1

BAM Customer Reviews