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Applied Unsupervised Learning with Python. Discover hidden patterns and relationships in unstructured data with Python

Applied Unsupervised Learning with Python. Discover hidden patterns and relationships in unstructured data with Python

Benjamin Johnston, Aaron Jones, Christopher Kruger

E-book
Unsupervised learning is a useful and practical solution in situations where labeled data is not available.

Applied Unsupervised Learning with Python guides you in learning the best practices for using unsupervised learning techniques in tandem with Python libraries and extracting meaningful information from unstructured data. The book begins by explaining how basic clustering works to find similar data points in a set. Once you are well-versed with the k-means algorithm and how it operates, you’ll learn what dimensionality reduction is and where to apply it. As you progress, you’ll learn various neural network techniques and how they can improve your model. While studying the applications of unsupervised learning, you will also understand how to mine topics that are trending on Twitter and Facebook and build a news recommendation engine for users. Finally, you will be able to put your knowledge to work through interesting activities such as performing a Market Basket Analysis and identifying relationships between different products.

By the end of this book, you will have the skills you need to confidently build your own models using Python.
  • 1. Introduction to Clustering
  • 2. Hierarchical Clustering
  • 3. Neighborhood Approaches and DBSCAN
  • 4. An Introduction to Dimensionality Reduction and PCA
  • 5. Autoencoders
  • 6. t-Distributed Stochastic Neighbor Embedding (t-SNE)
  • 7. Topic Modeling
  • 8. Market Basket Analysis
  • 9. Hotspot Analysis
  • Titel: Applied Unsupervised Learning with Python. Discover hidden patterns and relationships in unstructured data with Python
  • Autor: Benjamin Johnston, Aaron Jones, Christopher Kruger
  • Originaler Titel: Applied Unsupervised Learning with Python. Discover hidden patterns and relationships in unstructured data with Python
  • ISBN: 9781789958379, 9781789958379
  • Veröffentlichungsdatum: 2019-05-28
  • Format: E-book
  • Artikelkennung: e_2av9
  • Verleger: Packt Publishing