MachineLearningWithMe is queued for analysis. Crawling candidates and ranking them takes a few minutes. This page updates itself when the list exists — you can also come back later.
What is known so far comes from the other direction:
These projects were analysed and named MachineLearningWithMe among their alternatives. The relationship is not symmetric — how MachineLearningWithMe rates them is a separate judgement, made when MachineLearningWithMe is analysed in its own right.
calls MachineLearningWithMe “Choose for Chinese-language video-guided ML algorithm implementations; more hands-on and narrower than the seed.”
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06
calls MachineLearningWithMe “Covers only about a dozen statistical ML algorithms with Chinese videos, narrower than the seed's full curriculum.”
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2