--- product_id: 259571516 title: "Hands-On Unsupervised Learning with Python: Implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more" price: "1806 ЅМ" currency: TJS in_stock: true reviews_count: 4 url: https://tajikistan.desertcart.com/products/259571516-hands-on-unsupervised-learning-with-python-implement-machine-learning-deep store_origin: TJ region: Tajikistan --- # Master clustering & anomaly detection Hands-on Python with Scikit-Learn & TensorFlow Build unsupervised neural networks Hands-On Unsupervised Learning with Python: Implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more **Price:** 1806 ЅМ **Availability:** ✅ In Stock ## Summary > 🚀 Elevate your ML game with hands-on unsupervised learning mastery! ## Quick Answers - **What is this?** Hands-On Unsupervised Learning with Python: Implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more - **How much does it cost?** 1806 ЅМ with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [tajikistan.desertcart.com](https://tajikistan.desertcart.com/products/259571516-hands-on-unsupervised-learning-with-python-implement-machine-learning-deep) ## 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 - • **Bridge Theory and Practice:** Perfect for data scientists and ML developers eager to apply unsupervised learning techniques with confidence. - • **Detect Anomalies Like a Pro:** Leverage density estimation and dimensionality reduction to identify outliers and optimize your data insights. - • **Unlock the Power of Clustering:** Explore advanced clustering techniques including fuzzy c-means and Gaussian mixtures to reveal hidden data patterns. - • **Hands-On Neural Network Mastery:** Build and train unsupervised neural networks and GANs to tackle real-world data challenges with cutting-edge Python libraries. - • **Practical Python Implementation:** Learn through actionable examples using Scikit-Learn, TensorFlow, and more — no fluff, just code that works. ## Overview This book offers a practical, example-driven guide to unsupervised machine learning using Python. Covering clustering, anomaly detection, neural networks, and GANs, it equips data professionals with the skills to implement advanced algorithms using popular libraries like Scikit-Learn and TensorFlow. Ideal for those with some ML background, it bridges theory and real-world application to unlock the potential of raw, untagged data. ## Description Discover the skill-sets required to implement various approaches to Machine Learning with Python Key Features Explore unsupervised learning with clustering, autoencoders, restricted Boltzmann machines, and more Build your own neural network models using modern Python libraries Practical examples show you how to implement different machine learning and deep learning techniques Book Description Unsupervised learning is about making use of raw, untagged data and applying learning algorithms to it to help a machine predict its outcome. With this book, you will explore the concept of unsupervised learning to cluster large sets of data and analyze them repeatedly until the desired outcome is found using Python. This book starts with the key differences between supervised, unsupervised, and semi-supervised learning. You will be introduced to the best-used libraries and frameworks from the Python ecosystem and address unsupervised learning in both the machine learning and deep learning domains. You will explore various algorithms, techniques that are used to implement unsupervised learning in real-world use cases. You will learn a variety of unsupervised learning approaches, including randomized optimization, clustering, feature selection and transformation, and information theory. You will get hands-on experience with how neural networks can be employed in unsupervised scenarios. You will also explore the steps involved in building and training a GAN in order to process images. By the end of this book, you will have learned the art of unsupervised learning for different real-world challenges. What you will learn Use cluster algorithms to identify and optimize natural groups of data Explore advanced non-linear and hierarchical clustering in action Soft label assignments for fuzzy c-means and Gaussian mixture models Detect anomalies through density estimation Perform principal component analysis using neural network models Create unsupervised models using GANs Who this book is for This book is intended for statisticians, data scientists, machine learning developers, and deep learning practitioners who want to build smart applications by implementing key building block unsupervised learning, and master all the new techniques and algorithms offered in machine learning and deep learning using real-world examples. Some prior knowledge of machine learning concepts and statistics is desirable. Table of Contents Getting Started with Unsupervised Learning Clustering Fundamentals Advanced Clustering Hierarchical Clustering in Action Soft Clustering and Gaussian Mixture Models Anomaly Detection Dimensionality Reduction and Component Analysis Unsupervised Neural Network Models Generative Adversarial Networks and SOMs Review: Excellent practice book! - I like that have the theory and examples in how to program it in Python. This book who's a little bit about mathematics equations. So if you are interested in the demonstration of mathematics equations then you need other book. This is practical book in Python and I love it. Review: Print is in black & white - This is a paperback re-print made in black and white. Nowhere in the description or preview does it show that it's not in color. For most of the figures having color is pretty important to follow along. Disappointing. ## Features - Hands-On Unsupervised Learning with Python - Product Type: ABIS_BOOK ## Technical Specifications | Specification | Value | |---------------|-------| | Best Sellers Rank | 4,289,307 in Books ( See Top 100 in Books ) | | Customer Reviews | 4.0 out of 5 stars 9 Reviews | ## Images ![Hands-On Unsupervised Learning with Python: Implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more - Image 1](https://m.media-amazon.com/images/I/71yk+p82jsL.jpg) ## Customer Reviews ### ⭐⭐⭐⭐⭐ Excellent practice book! *by D***A on 8 September 2023* I like that have the theory and examples in how to program it in Python. This book who's a little bit about mathematics equations. So if you are interested in the demonstration of mathematics equations then you need other book. This is practical book in Python and I love it. ### ⭐ Print is in black & white *by D***W on 8 June 2020* This is a paperback re-print made in black and white. Nowhere in the description or preview does it show that it's not in color. For most of the figures having color is pretty important to follow along. Disappointing. ### ⭐ Do not buy. Absolutely poor content *by A***A on 23 February 2025* This book is of no use. It doesn't talk about anything either clearly, wholistically, in depth or meaningfully. I feel like sending this back to the author. --- ## Why Shop on Desertcart? - 🛒 **Trusted by 1.3+ Million Shoppers** — Serving international shoppers since 2016 - 🌍 **Shop Globally** — Access 737+ million products across 21 categories - 💰 **No Hidden Fees** — All customs, duties, and taxes included in the price - 🔄 **15-Day Free Returns** — Hassle-free returns (30 days for PRO members) - 🔒 **Secure Payments** — Trusted payment options with buyer protection - ⭐ **TrustPilot Rated 4.5/5** — Based on 8,000+ happy customer reviews **Shop now:** [https://tajikistan.desertcart.com/products/259571516-hands-on-unsupervised-learning-with-python-implement-machine-learning-deep](https://tajikistan.desertcart.com/products/259571516-hands-on-unsupervised-learning-with-python-implement-machine-learning-deep) --- *Product available on Desertcart Tajikistan* *Store origin: TJ* *Last updated: 2026-09-18*