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Python Machine Learning: Machine Learning and Deep Learning with Python scikit-learn and TensorFlow 2 3rd Edition
Hands-On Machine Learning with C++: Build train and deploy end-to-end machine learning and deep learning pipelines
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)
Reinforcement Learning second edition: An Introduction (Adaptive Computation and Machine Learning series)
TensorFlow Deep Learning Projects: 10 real-world projects on computer vision machine translation chatbots and reinforcement learning
Learning OpenCV 4 Computer Vision with Python 3: Get to grips with tools techniques and algorithms for computer vision and machine learning 3rd Edition
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
Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)
Optimization for Machine Learning (Hard) <Neural Information Processing Series>
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
MACHINE LEARNING (Int'l Ed)
Python for Probability Statistics and Machine Learning
Introduction to Machine Learning with Python: A Guide for Data Scientists
Structural Health Monitoring: A Machine Learning Perspective
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
Machine Learning for OpenCV: Intelligent image processing with Python
Sparse Modeling: Theory, Algorithms, and Applications <(Chapman & Hall/CRC Machine Learning & Pattern Recognition)>
Boosting: Foundations and Algorithms (Adaptive Computation and Machine Learning series)
Scaling up Machine Learning: Parallel and Distributed Approaches
The Calabi?Yau Landscape From Geometry, to Physics, to Machine Learning <Lecture Notes in Mathematics 2293>
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
Probability and Statistics for Machine Learning: A Textbook
Financial Signal Processing and Machine Learning (IEEE Press)
Practical Time Series Analysis: Prediction with Statistics and Machine Learning
Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies
Approaching (Almost) Any Machine Learning Problem
Driving Digital Transformation through Data and AI: A Practical Guide to Delivering Data Science and Machine Learning Products
GPU parallel computing for machine learning in Python: how to build a parallel computer
Linear Algebra and Optimization for Machine Learning: A Textbook
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