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Python Machine Learning - Second Edition: Machine Learning and Deep Learning with Python scikit-learn and TensorFlow
Python Machine Learning: Machine Learning and Deep Learning with Python scikit-learn and TensorFlow 2 3rd Edition
Foundations of Machine Learning (Adaptive Computation and Machine Learning)
Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning series)
Introduction to Machine Learning (Adaptive Computation and Machine Learning)
Machine Learning: A Practical Approach on the Statistical Learning Theory
Fuzzy Rule-BasedExpert Systems and Genetic Machine Learning.
Hands-On Artificial Intelligence for IoT: Expert machine learning and deep learning techniques for developing smarter IoT systems
Learning Deep Architectures for AI (Foundations and TrendsR in Machine Learning)
Learning With Kernels: Support Vector Machines Regularization Optimization and Beyond (Adaptive Computation and Machine Learning Series)
Learning OpenCV 4 Computer Vision with Python 3: Get to grips with tools techniques and algorithms for computer vision and machine learning 3rd Edition
TensorFlow Deep Learning Projects: 10 real-world projects on computer vision machine translation chatbots and reinforcement learning
機械学習(マシンラーニング)と深層学習(ディープラーニング)
Machine Learning for Economics and Finance in TensorFlow 2: Deep Learning Models for Research and Industry
Machine Learning with TensorFlow
Encyclopedia of Machine Learning
Optimization for Machine Learning (Hard) <Neural Information Processing Series>
Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)
Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists
Machine Learning: The New AI (The MIT Press Essential Knowledge Series)
Machine Learning
Machine Learning for the Web
Introduction to Machine Learning with Python: A Guide for Data Scientists
Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning series)
MACHINE LEARNING (Int'l Ed)
Python for Probability Statistics and Machine Learning
Structural Health Monitoring: A Machine Learning Perspective
Machine Learning for OpenCV: Intelligent image processing with Python
Exploring Zynq MPSoC: With PYNQ and Machine Learning Applications
Machine Learning Techniques for Online Social Networks (Lecture Notes in Social Networks)
Thoughtful Machine Learning: A Test-Driven Approach
Sparse Modeling: Theory, Algorithms, and Applications <(Chapman & Hall/CRC Machine Learning & Pattern Recognition)>
The Calabi?Yau Landscape From Geometry, to Physics, to Machine Learning <Lecture Notes in Mathematics 2293>
Scaling up Machine Learning: Parallel and Distributed Approaches
Boosting: Foundations and Algorithms (Adaptive Computation and Machine Learning series)
Linear Algebra and Optimization for Machine Learning: A Textbook
Statistical and Machine Learning Approaches for Network Analysis (Wiley Series in Computational Statistics)
Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data Second Edition
Financial Signal Processing and Machine Learning (IEEE Press)
Pattern Recognition and Machine Learning (Hard) (英) パターン認識と機械学習
Practical Time Series Analysis: Prediction with Statistics and Machine Learning
Understanding Machine Learning: From Theory to Algorithms
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