「film」「movie」「cinema」等词之间的区别是什么？ - 知乎
2021年8月31日 · film经常也指某部具体的影片，a good film，这时候才译作“影片”，和movie的意思相同，但按一般的习惯，film更严肃一点，高雅一点，movie显得较通俗一点。 movie的词源 …
Are there any good movies involving mathematics or probability?
However, the film is Indian and I haven't actually seen it. I recall an Indian math historian speaking about this film at our university colloquium several years ago. He boasted, "Ben Kingsley was …
How to interpret interquartile range? - Cross Validated
2016年3月10日 · "Feature Films" which has higher IQR than that of "Children's Film and TV", so you can say that, it's more likely that the price for "Feature Films" will vary much as compared …
Is a rating in a set range a categorical or numerical variable?
2019年10月9日 · Opinion variables on a 1 to 5 or 1 to 10 scale are usually considered as ordinal categorical variables. On a 1-to-10 scale, suppose someone rates one movie as 5 and and …
What does it mean for Multiple "R-squared (proj model)" in felm ...
In the output of felm function which is a function for the Linear Models with Multiple Fixed Effects, two R-squared information are provided: Multiple R-squared(full model) and Multiple R …
time is a continuous or discrete variables? - Cross Validated
2016年6月27日 · It can be viewed both as discrete and as continuous. In fact we have discrete-time and continous-time models. It depends how did you record the time, e.g. if you count …
有哪些免费且无水印的剪辑软件? - 知乎
全文干货，不到 3000 字，看完保证能让你大呼过瘾！ 自从抖音、哔哩哔哩等视频平台的爆火，作为一种技能的视频剪辑开始受到了大众的关注,不少人开始跃跃欲试，但视频剪辑该如何入 …
What is the difference between convolutional neural networks ...
The idea is the same as with autoencoders or RBMs - translate many low-level features (e.g. user reviews or image pixels) to the compressed high-level representation (e.g. film genres or …
How and when to use the Bonferroni adjustment
Stack Exchange Network. Stack Exchange network consists of 183 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their …
classification - What is a Hamming Loss ? will we consider it for an ...
2018年3月26日 · The hamming loss (HL) is . the fraction of the wrong labels to the total number of labels. Hence, for the binary case (imbalanced or not), HL=1-Accuracy as you wrote.