---
product_id: 422067397
title: "Hands–On Machine Learning with Scikit–Learn, Keras, and TensorFlow 3e"
price: "C$10745"
currency: NIO
in_stock: true
reviews_count: 6
url: https://www.desertcart.ni/products/422067397-hands-on-machine-learning-with-scikit-learn-keras-and-tensorflow
store_origin: NI
region: Nicaragua
---

# End-to-end ML project tracking Advanced neural net architectures Hands-on TensorFlow & Keras training Hands–On Machine Learning with Scikit–Learn, Keras, and TensorFlow 3e

**Price:** C$10745
**Availability:** ✅ In Stock

## Summary

> 🚀 Elevate your ML game with the ultimate hands-on guide!

## Quick Answers

- **What is this?** Hands–On Machine Learning with Scikit–Learn, Keras, and TensorFlow 3e
- **How much does it cost?** C$10745 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.ni](https://www.desertcart.ni/products/422067397-hands-on-machine-learning-with-scikit-learn-keras-and-tensorflow)

## Best For

- Customers looking for quality international products

## Why This Product

- Free international shipping included
- Worldwide delivery with tracking
- 15-day hassle-free returns

## Key Features

- • **Explore Cutting-Edge Models:** Dive deep into support vector machines, random forests, and ensemble methods to elevate your predictive power.
- • **Unleash Unsupervised Learning:** Harness dimensionality reduction, clustering, and anomaly detection to uncover hidden data insights.
- • **Build Next-Gen Neural Networks:** Create and train convolutional, recurrent, GANs, transformers, and diffusion models with TensorFlow and Keras.
- • **Code-First Learning Experience:** Minimal theory, maximum practice — perfect for busy professionals ready to upskill with hands-on Python projects.
- • **Master ML from Start to Finish:** Track a complete machine learning project using Scikit-Learn with real-world examples.

## Overview

Hands–On Machine Learning with Scikit–Learn, Keras, and TensorFlow (3rd Edition) is a bestselling, practical guide that empowers programmers to build intelligent systems using state-of-the-art machine learning and deep learning techniques. Covering everything from linear regression to advanced neural networks, it leverages popular Python frameworks with numerous code examples and exercises, making it ideal for professionals eager to master ML with minimal theory and maximum application.

## Description

Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. With this updated third edition, author Aurélien Géron explores a range of techniques, starting with simple linear regression and progressing to deep neural networks. Numerous code examples and exercises throughout the book help you apply what you've learned. Programming experience is all you need to get started. Use Scikit-learn to track an example ML project end to end Explore several models, including support vector machines, decision trees, random forests, and ensemble methods Exploit unsupervised learning techniques such as dimensionality reduction, clustering, and anomaly detection Dive into neural net architectures, including convolutional nets, recurrent nets, generative adversarial networks, autoencoders, diffusion models, and transformers Use TensorFlow and Keras to build and train neural nets for computer vision, natural language processing, generative models, and deep reinforcement learning

Review: Brilliant - Well detailed book on ML!
Review: Ótimo livro - Bom material e conteúdo muito enriquecedor

## Features

- Use scikit-learn to track an example ML project end to end
- Explore several models, including support vector machines, decision trees, random forests, and ensemble methods
- Exploit unsupervised learning techniques such as dimensionality reduction, clustering, and anomaly detection
- Dive into neural net architectures, including convolutional nets, recurrent nets, generative adversarial networks, autoencoders, diffusion models, and transformers
- Use TensorFlow and Keras to build and train neural nets for computer vision, natural language processing, generative models, and deep reinforcement learning

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #20,695 in Books ( See Top 100 in Books ) #16 in Web Programming #22 in Computer Programming Languages #125 in Computer Science |
| Customer Reviews | 4.7 out of 5 stars 769 Reviews |

## Images

![Hands–On Machine Learning with Scikit–Learn, Keras, and TensorFlow 3e - Image 1](https://m.media-amazon.com/images/I/81qHV3ACapL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Brilliant
*by S***H on 8 March 2026*

Well detailed book on ML!

### ⭐⭐⭐⭐⭐ Ótimo livro
*by J***N on 19 January 2025*

Bom material e conteúdo muito enriquecedor

### ⭐ Low quality of the paper. Text from the other side shines through.
*by K***S on 18 February 2025*



## Frequently Bought Together

- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
- Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
- AI Engineering: Building Applications with Foundation Models

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**Shop now:** [https://www.desertcart.ni/products/422067397-hands-on-machine-learning-with-scikit-learn-keras-and-tensorflow](https://www.desertcart.ni/products/422067397-hands-on-machine-learning-with-scikit-learn-keras-and-tensorflow)

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*Product available on Desertcart Nicaragua*
*Store origin: NI*
*Last updated: 2026-06-24*