Pytorch Pocket Reference : Building and Deploying Deep Learning Models
Joe Papa
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Add to BasketHow We Learn : The New Science of Education and the Brain
Stanislas Dehaene
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How Smart Machines Think
Sean Gerrish
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Add to BasketTensorFlow 2 Pocket Reference : Building and Deploying Machine Learning Models
K. C. Tung
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Add to BasketHow to Be Human in the Digital Economy
Nicholas (Professor, Victoria University of Wellington) Agar
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How AI Is Transforming the Organization
MIT Sloan Management (Paul Michelman) Review
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Add to BasketNot with a Bug, But with a Sticker : Attacks on Machine Learning Systems and What To Do About Them
Ram Shankar (University of Washington; Harvard University) Siva Kumar
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Algorithms for a New World : When Big Data and Mathematical Models Meet
Alfio Quarteroni
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Add to BasketBig Data
Wolfgang Pietsch
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Add to BasketIntelligent Metasurface Sensors
Lianlin (Peking University) Li
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Add to BasketMathematical Foundations of Machine Learning : Unveiling the Mathematical Essence of Machine Learning (2024 Guide for Beginners)
David MacKay
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AI and ML for Coders : A Comprehensive Guide to Artificial Intelligence and Machine Learning Techniques, Tools, Real-World Applications, and Ethical Considerations for Modern Programmers
Andrew Hinton
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Decisions Based on Data : Analytics for Business Excellence
Bastian Weber
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A Brief History of Intelligence : Why the Evolution of the Brain Holds the Key to the Future of Ai
Max Bennett
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Deep Machine Learning : A Comprehensive Beginner Developer Guide to Deep Machine Learning Algorithms, Concepts and Techniques
Joe Grant
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Add to BasketMachine Learning with R : Prepare and process data with H2O and Keras
Uli Schell
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Machine Learning : Study Deep Learning Through Data Science (Step by Step Guide to Machine Learning Techniques for Beginners)
Michael Krauss
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Add to BasketApplied Time Series Analysis and Forecasting with Python
Changquan Huang
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Deep Learning for Deblending Crowded Star Fields : The Future of Astronomy
Sam K
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Creating Courses : Simple Strategies for Building Curricula
Siddharth Rao
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Machine Learning for Experiment Design : A Review, with a Focus on Active Learning
Jashan Jii
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AI Wonders : Machines Evolving Beyond Human Capabilities
Mack Rafael
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