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"item_title" : "Recent Trends in Learning from Data",
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"item_description" : "Introduction: Recent Trends in Learning From Data.- Learned data structures.- Deep Randomized Neural Networks.- Tensor Decompositions and Practical Applications.- Deep learning for graphs.- Limitations of Shallow Networks.- Fairness in Machine Learning.- Online Continual Learning on Sequences.",
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Recent Trends in Learning from Data : Tutorials from the Inns Big Data and Deep Learning Conference (Innsbddl2019)
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Overview
Introduction: Recent Trends in Learning From Data.- Learned data structures.- Deep Randomized Neural Networks.- Tensor Decompositions and Practical Applications.- Deep learning for graphs.- Limitations of Shallow Networks.- Fairness in Machine Learning.- Online Continual Learning on Sequences.
This item is Non-Returnable
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Details
- ISBN-13: 9783030438821
- ISBN-10: 3030438821
- Publisher: Springer
- Publish Date: April 2020
- Dimensions: 9.21 x 6.14 x 0.56 inches
- Shipping Weight: 1.11 pounds
- Page Count: 221
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