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Succession Planning in the Library: Developing Leaders, Managing Change

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Paula M. Singer & Gail Griffith

Antiquarianism, Language, and Medical Philology: From Early Modern to Modern Sino-Japanese Medical Discourses

Antiquarianism, Language, and Medical Philology: From Early ...

Benjamin A. Elman

Paul Erdös : The Art of Counting

Paul Erdös : The Art of Counting

Paul Erdos & Joel Spencer

The Last Pagans of Rome

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Alan Cameron

The Theory of Splines and Their Applications

The Theory of Splines and Their Applications

J. Harold Ahlberg & Ahlberg J H & Edwin Norman Nilson & Joseph Leonard Walsh

Category: Machine Learning

Applied Machine Learning and AI for Engineers: Solve Business Problems That Can't Be Solved Algorithmically

Applied Machine Learning and AI for Engineers: Solve Business ...

Jeff Prosise & Adam Prosise

Machine Learning for Financial Risk Management With Python: Algorithms for Modeling Risk

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Abdullah Karasan

Deep Learning With Python, Second Edition

Deep Learning With Python, Second Edition

François Chollet

Real-World Natural Language Processing: Practical Applications With Deep Learning

Real-World Natural Language Processing: Practical Applications ...

Masato Hagiwara

Computational Modeling and Data Analysis in COVID-19 Research

Computational Modeling and Data Analysis in COVID-19 Research

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Weakly Supervised Learning: Doing More With Less Data

Weakly Supervised Learning: Doing More With Less Data

Wee Hyong Tok & Amit Bahree & Senja Filipi

Transfer Learning for Natural Language Processing

Transfer Learning for Natural Language Processing

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Applied Machine Learning Solutions with Python: Production-ready ML Projects Using Cutting-edge Libraries and Powerful Statistical Techniques (English Edition)

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Siddhanta Bhatta

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Think Bayes: Bayesian Statistics in Python

Allen B. Downey

Smart Agriculture; Emerging Pedagogies of Deep Learning, Machine Learning and Internet of Things

Smart Agriculture; Emerging Pedagogies of Deep Learning, Machine ...

Govind Singh Patel

Introducing MLOps: How to Scale Machine Learning in the Enterprise

Introducing MLOps: How to Scale Machine Learning in the Enterprise

Clement Stenac & Leo Dreyfus-Schmidt & Kenji Lefevre & Nicolas Omont & Mark Treveil

Kubernetes for MLOps: Scaling Enterprise Machine Learning, Deep Learning, and  AI

Kubernetes for MLOps: Scaling Enterprise Machine Learning, Deep ...

Sam Charrington

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Data Science from Scratch

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Machine Learning

Machine Learning

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Incremental Version-Space Merging: A General Framework for Concept Learning

Incremental Version-Space Merging: A General Framework for Concept ...

Haym Hirsh

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