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Hands-On Unsupervised Learning with Python

Implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more

Paperback Engels 2019 9781789348279
Verkooppositie 5261
Verwachte levertijd ongeveer 12 werkdagen

Samenvatting

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.

Specificaties

ISBN13:9781789348279
Taal:Engels
Bindwijze:paperback
Aantal pagina's:386
Druk:1
Verschijningsdatum:28-2-2019
Hoofdrubriek:IT-management / ICT

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Over Giuseppe Bonaccorso

Giuseppe Bonaccorso is an experienced manager in the fields of AI, data science, and machine learning. He has been involved in solution design, management, and delivery in different business contexts. He got his M.Sc.Eng in electronics in 2005 from the University of Catania, Italy, and continued his studies at the University of Rome Tor Vergata, Italy, and the University of Essex, UK. His main interests include machine/deep learning, reinforcement learning, big data, bio-inspired adaptive systems, neuroscience, and natural language processing.

Andere boeken door Giuseppe Bonaccorso

Inhoudsopgave

1. Getting Started with Unsupervised Learning
2. Clustering Fundamentals
3. Advanced Clustering
4. Hierarchical Clustering in Action
5. Soft Clustering and Gaussian Mixture Models
6. Anomaly Detection
7. Dimensionality Reduction and Component Analysis
8. Unsupervised Neural Network Models
9. Generative Adversarial Networks and SOMs

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        Hands-On Unsupervised Learning with Python