Mastering Unlabeled Data (MEAP V5)

✍ Scribed by Vaibhav Verdhan

Publisher: Manning
Year: 2023
Tongue: English
Leaves: 315
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Discover all-practical implementations of the key algorithms and models for handling unlabeled data. Full of case studies demonstrating how to apply each technique to real-world problems.

In Mastering Unlabeled Data you’ll learn:

Fundamental building blocks and concepts of machine learning and unsupervised learning
Data cleaning for structured and unstructured data like text and images
Unsupervised time series clustering, Gaussian Mixture models, and statistical methods
Building neural networks such as GANs and autoencoders
How to interpret the results of unsupervised learning
Choosing the right algorithm for your problem
Deploying unsupervised learning to production
Business use cases for machine learning and unsupervised learning

✦ Table of Contents

Copyright_2022_Manning_Publications
welcome
1_Introduction_to_machine_learning
2_Clustering_techniques
3_Dimensionality_reduction
4_Association_rules
5_Clustering_(advanced)
6_Dimensionality_reduction_(advanced)
7_Unsupervised_learning_for_text_data
(4 more chapters planned)

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