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1
Introduction to Algorithms for Data Mining and Machine Learning
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Introduction to Algorithms for Data Mining and Machine Learning

ISBN: 0128172169 ;ISBN: 9780128172162 ;EISBN: 9780128172179 ;EISBN: 0128172177 ;DOI: 10.1016/C2018-0-02034-4 ;OCLC: 1104998863

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2
Optimization with Sparsity-Inducing Penalties
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Optimization with Sparsity-Inducing Penalties

Foundations and trends in machine learning, 2012 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1935-8237 ;EISSN: 1935-8245 ;DOI: 10.1561/2200000015

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3
Gaussian Processes for Machine Learning
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Book
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Gaussian Processes for Machine Learning

2005 Massachusetts Institute of Technology ;2005 MIT This content is available without a subscription. It may not be altered in any way and proper attribution is required. ;ISBN: 9780262256834 ;ISBN: 026218253X ;ISBN: 9780262182539 ;ISBN: 0262256835 ;EISBN: 9780262256834 ;EISBN: 0262256835 ;EISBN: 0262261073 ;EISBN: 9780262261074 ;DOI: 10.7551/mitpress/3206.001.0001 ;OCLC: 68194203 ;LCCallNum: QA274.4 .R37 2006eb

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4
Activation Functions in Deep Learning: Activation Functions in Deep Learning With LaTeX Applications
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Activation Functions in Deep Learning: Activation Functions in Deep Learning With LaTeX Applications

ISBN: 9783631873281 ;ISBN: 363187328X ;EISBN: 9783631876701 ;EISBN: 363187670X ;EISBN: 3631876718 ;EISBN: 9783631876718

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5
Data Intelligence and Risk Analytics: Industrial Management & Data Systems
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Book
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Data Intelligence and Risk Analytics: Industrial Management & Data Systems

EISBN: 183982591X ;EISBN: 9781839825910

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6
Reproducible data science with Pachyderm: build version-controlled end-to-end data pipelines that power your machine learning lifecycle
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Reproducible data science with Pachyderm: build version-controlled end-to-end data pipelines that power your machine learning lifecycle

EISBN: 9781801079075 ;EISBN: 1801079072

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7
Practical Deep Learning at Scale with MLflow: Bridge the Gap Between Offline Experimentation and Online Production
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Practical Deep Learning at Scale with MLflow: Bridge the Gap Between Offline Experimentation and Online Production

EISBN: 1803242221 ;EISBN: 9781803242224 ;OCLC: 1333084068

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8
Machine Learning: A Bayesian and Optimization Perspective
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Machine Learning: A Bayesian and Optimization Perspective

ISBN: 9780128015223 ;ISBN: 0128015225 ;ISBN: 0128017228 ;ISBN: 9780128017227 ;EISBN: 0128017228 ;EISBN: 9780128017227 ;DOI: 10.1016/C2013-0-19102-7 ;OCLC: 908071759 ;LCCallNum: Q325.5 .T446 2015eb

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9
Fundamentals
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Fundamentals

ISBN: 9783110786125 ;ISBN: 3110785943 ;ISBN: 9783110785944 ;ISBN: 3110786125 ;ISBN: 3110785935 ;ISBN: 9783110785937 ;DOI: 10.1515/9783110785944

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10
Machine learning on Kubernetes: build, deploy, and track your ML models on a containerized, sustainable machine learning platform
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Machine learning on Kubernetes: build, deploy, and track your ML models on a containerized, sustainable machine learning platform

EISBN: 9781803231655 ;EISBN: 1803231653

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11
Deep Learning on Edge Computing Devices: Design Challenges of Algorithm and Architecture
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Deep Learning on Edge Computing Devices: Design Challenges of Algorithm and Architecture

ISBN: 0323857833 ;ISBN: 9780323857833 ;EISBN: 0323909272 ;EISBN: 9780323909273 ;DOI: 10.1016/C2020-0-02872-0

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12
Proceedings of the 2021 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory
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Proceedings of the 2021 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory

DOI: 10.5445/KSP/1000143483

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13
Applications
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Applications

ISBN: 9783110785982 ;ISBN: 3110785986 ;ISBN: 3110785978 ;ISBN: 9783110785975 ;ISBN: 9783110786149 ;ISBN: 3110786141 ;DOI: 10.1515/9783110785982

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14
Applications
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Applications

ISBN: 9783110785982 ;ISBN: 3110785986 ;ISBN: 3110785978 ;ISBN: 9783110785975 ;ISBN: 9783110786149 ;ISBN: 3110786141 ;DOI: 10.1515/9783110785982

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15
Natural Language Processing with AWS AI Services: Derive Strategic Insights from Unstructured Data with Amazon Textract and Amazon Comprehend
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Natural Language Processing with AWS AI Services: Derive Strategic Insights from Unstructured Data with Amazon Textract and Amazon Comprehend

EISBN: 9781801815482 ;EISBN: 1801815488 ;OCLC: 1290023913

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16
AI methods and their application to health and prevention using open data
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AI methods and their application to health and prevention using open data

DOI: 10.5463/thesis.172

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17
AI methods and their application to health and prevention using open data
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AI methods and their application to health and prevention using open data

DOI: 10.5463/thesis.172

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18
Graphical Models, Exponential Families, and Variational Inference
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Book
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Graphical Models, Exponential Families, and Variational Inference

ISBN: 1601981767 ;ISBN: 9781601981769 ;EISBN: 1601981775 ;EISBN: 9781601981776 ;DOI: 10.1561/2200000001 ;OCLC: 923316413

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19
Python Feature Engineering Cookbook: Over 70 Recipes for Creating, Engineering, and Transforming Features to Build Machine Learning Models
Material Type:
Book
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Python Feature Engineering Cookbook: Over 70 Recipes for Creating, Engineering, and Transforming Features to Build Machine Learning Models

ISBN: 9781804611302 ;ISBN: 1804611301 ;EISBN: 9781804615393 ;EISBN: 1804615390 ;OCLC: 1350425219

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20
Deep learning for genomics: data-driven methodologies for genomic applications in life sciences and biotechnology
Material Type:
Book
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Deep learning for genomics: data-driven methodologies for genomic applications in life sciences and biotechnology

EISBN: 1804613010 ;EISBN: 9781804613016

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