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上传时间: 2017-12-17
详细说明： 2017-06 美国最新OpenCV with Python。150RMB于 亚马逊购买所得。 国内还没的卖。 亚马逊读者评价，5星。 == I've been following this book's development on Github for a while now. I'm super excited it's finally out! It has some great stuff in there that everyone should know (classification, regressi on, decision trees, SVMs, etc.) and beyond. It uses OpenCV, some Scikit learn and Keras. Python only! === 5.0 颗星，最多 5 颗星The Best Guidance for ML and CV! 留言者Haotian Zhang于 2017年10月12日 - 已在美国亚马逊上发表 Micheal's book is intended for starters, undergraduates & PhD students, researchers, primarily in the machine learning or related area.This book will be an essential reference for practitioners of modern machine learning. It covers the basic concepts such as Decision Tree, SVMs, Classification and etc. and the powerful modern computing methods that build on those concepts. I've been following this book on Git for quite a long time and I even forked the original code. It uses the Python Jupyter Notebook to describe concepts in each chapter and also uses the OpenCV, Python Libraries like Scikit-learn and Machine Learning Framework Keras. Both the book and code are quite helpful towards my study. A must-buy for anyone interested in machine learning or curious about how to extract useful knowledge from Computer Vision. ...展开收缩
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