menu
{ "item_title" : "Machine Learning with Python", "item_author" : [" Rafael Sanders", "Miguel Farmer "], "item_description" : "Machine Learning with Python: Build Your First AI Model is your comprehensive, step-by-step guide to getting started with machine learning using Python. Whether you're new to machine learning or already familiar with Python, this book will teach you the fundamentals of machine learning and how to build your first AI model.With Python's powerful libraries like scikit-learn, TensorFlow, and Keras, you'll learn how to apply machine learning techniques to real-world projects, from data preprocessing and model training to evaluation and deployment. This guide covers both supervised and unsupervised learning, enabling you to tackle a wide variety of machine learning problems.By the end of the book, you will have the skills to build, train, and evaluate machine learning models, laying a solid foundation for future AI development.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/79/831/945/9798319456090_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" : "" } }
Machine Learning with Python|Rafael Sanders

Machine Learning with Python : Build Your First AI Model: A Step-by-Step Guide to Using Python for Machine Learning Projects

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

Overview

Machine Learning with Python: Build Your First AI Model is your comprehensive, step-by-step guide to getting started with machine learning using Python. Whether you're new to machine learning or already familiar with Python, this book will teach you the fundamentals of machine learning and how to build your first AI model.

With Python's powerful libraries like scikit-learn, TensorFlow, and Keras, you'll learn how to apply machine learning techniques to real-world projects, from data preprocessing and model training to evaluation and deployment. This guide covers both supervised and unsupervised learning, enabling you to tackle a wide variety of machine learning problems.

By the end of the book, you will have the skills to build, train, and evaluate machine learning models, laying a solid foundation for future AI development.

This item is Non-Returnable

Details

  • ISBN-13: 9798319456090
  • ISBN-10: 9798319456090
  • Publisher: Independently Published
  • Publish Date: April 2025
  • Dimensions: 9 x 6 x 0.57 inches
  • Shipping Weight: 0.8 pounds
  • Page Count: 270

Related Categories

You May Also Like...

    1

BAM Customer Reviews