AN INTRODUCTION TO GRAPHICAL MODELS, Michael I. Jordan.pdf
An Introduction to Natural Language Processing(Third Edition).pdf
An Introduction to Statistical Learning.pdf
Bayesian Analysis with Python.pdf
Building Machine Learning Projects with TensorFlow.pdf
Deep Learning Tutorial 李宏毅 Hung-yi Lee.pdf
Deep Learning with PyTorch.pdf
Deep Reinforcement Learning Hands-On.pdf
Deep+Learning+in+Natural+Language+Processing.pdf
Designing.Data-Intensive.Applications.pdf
Graphical Models, Exponential Families, and Variational Inference.pdf
Machine Learning A Probabilistic Perspective.pdf
Machine Learning Algorithms.pdf
Machine Learning Yearning, Andrew Ng.pdf
Machine Learning for the Web.pdf
Machine_Learning_A_Bayesian_and_Optimization_Perspective.pdf
Neural Network Design.pdf
Neural Networks and Learning Machines (3rd Edition).pdf
Neural.Networks.Tricks.of.the.Trade.pdf
Pattern Recognition and Machine Learning.pdf
Reinforcement Learning An Introduction, Richard S. Sutton and Andrew G. Barto.pdf
Rules of Machine Learning Best Practices for ML Engineering.pdf
Statistics for Machine Learning.pdf
TensorFlow for Machine Intelligence_ A Hands-On Introduction to Learning Algorithms-Bleeding Edge Press (2016).pdf
The Elements of Statistical Learning.pdf
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