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Interpretable Machine Learning
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统计学习基础 The Elements of Statistical Learning
Lijun Wang, 2020PDF
How Not to Become a Millennial: Learning from America's Largest Sociological Disaster
Aaron Clarey, Vince Barrick, 2020PDF
Learning Bio-Micro-Nanotechnology
Mendelson, Mel I., 2013PDF
Learning Java Through Games
Stanchev, Lubomir, 2013PDF
Statistical learning with sparsity : the lasso and generalizations.
Hastie, Trevor, 2015
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Practical Deep Learning for Cloud, Mobile, and Edge: Real-World AI & Computer-Vision Projects Using Python, Keras & TensorFlow
Anirudh Koul, Siddha Ganju, Meher Kasam, 2019PDF
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Ripple-Down Rules - The Alternative to Machine Learning(2021)[Kang][9781003126157]
Crompton; Kong, 2021PDF
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Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications
Hoss Belyadi, Alireza Haghighat, 2021PDF
Introduction to Computer Graphics: A Practical Learning Approach
Corsini, Massimiliano; Di Benedetto, Marco; Ganovelli, Fabio; Pattanaik, Sumanta, 2014PDF
Fluctuation-Induced Network Control and Learning: Applying the Yuragi Principle of Brain and Biological Systems
Masayuki Murata, Kenji Leibnitz, 2021PDF
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Introduction to Deep Learning and Neural Networks with Python™: A Practical Guide
Ahmed Fawzy Gad, Fatima Ezzahra Jarmouni, 2020PDF
Learning Heroku Postgres
Patrick Espake, 2015
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Activity Theory, Authentic Learning and Emerging Technologies: Towards a Transformative Higher Education Pedagogy
Vivienne Bozalek (editor), Dick Ng’ambi (editor), Denise Wood (editor), Jan Herrington (editor), Joanne Hardman (editor), Alan Amory (editor), 2014PDF
Getting Started With Team-Based Learning
Jim Sibley, Pete Ostafichuk, 2014PDF
Team-Based Learning in the Social Sciences and Humanities: Group Work that Works to Generate Critical Thinking and Engagement
Michael Sweet (editor), Larry K. Michaelsen (editor), 2012PDF
THE DEFINITIVE GUIDE TO Machine Learning Platforms
Sam CharringtonPDF
Other People's Wars: The US Military and the Challenge of Learning from Foreign Conflicts
Brent L. Sterling, 2021PDF
Variational Methods for Machine Learning with Applications to Deep Networks
Lucas Pinheiro Cinelli, Matheus Araújo Marins, Eduardo Antônio Barros da Silva, Sérgio Lima Netto, 2021PDF
