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Applied Unsupervised Learning with Python

Applied Unsupervised Learning with Python


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Available for Pre-Order. This item will be available on January 31, 2019

Product Details

ISBN-13: 9781789952292
Publisher: Packt Publishing
Publication date: 01/31/2019
Pages: 403
Product dimensions: 7.50(w) x 9.25(h) x (d)

About the Author

Eugene Y. Chen is a machine learning enthusiast and a Python advocate. He has applied unsupervised machine learning techniques for work and for hobby. One of his previous work uses Kernel Density Estimation to combine predictions from different sources. The work was presented at KDD workshop for mining and learning from time series. He also contributes to Python-based open-source projects such as scikit-learn.

Xavier Holt is a startup co-founder, data scientist, and academic researcher. He has worked as a university tutor, teaching people how to program; and an NLP researcher, teaching machines how to talk. He believes machine learning should be both principled and practical.

Chris Kruger is a practicing data scientist and AI researcher. He has managed applied machine learning projects across multiple industries while mentoring junior team members on best practices. His primary focus is on pushing both business practicality as well as academic rigor in every project. Chris is currently developing research in the computer vision space.