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Hace 4 días · The Hermetic Principle of Correspondence stands out for its profound insight encapsulated in the axiom: “As above, so below; as below, so above.”. It suggests a mirroring relationship between different levels of existence, from the microcosm of individual experience to the macrocosm of the universe.
Hace 2 días · #horrorfan #horror #horrormovie #horrornews #film #movies #movie As Above, So Below (2014) is a horror mystery thriller film that will pose all kinds of questions. I watched the film twice and still overlooked some minor details that this video helped me discover. This movie takes place in the labyrinth of bones and death remains under…
Hace 1 día · Welcome to As Above So Below! A twice-weekly look at tarot and runic influences…For more visit my blog, Stepping Aside https://www.imsteppingaside.com If you...
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- Jan Erickson
Hace 4 días · I was trying object detection with classification using ciou loss and sigmoid cross entropy for object probability loss and soft max for classification with yolov3 based approach but with single scale detection. model loss was initially decreasing but then finally val loss increasing and not consistent with training loss.
Hace 2 días · Principal component analysis ( PCA) is a linear dimensionality reduction technique with applications in exploratory data analysis, visualization and data preprocessing . The data is linearly transformed onto a new coordinate system such that the directions (principal components) capturing the largest variation in the data can be easily identified.
Hace 4 días · A mosaic plot is a special type of stacked bar chart that shows percentages of data in groups. The plot is a graphical representation of a contingency table. How are mosaic plots used? Mosaic plots are used to show relationships and to provide a visual comparison of groups. See how to create a mosaic plot using statistical software.
Hace 3 días · If there are values that fall above or below the end of the whiskers, they are plotted as dots. These points are often called outliers. An outlier is more extreme than the expected variation. These data points are worthy of review to determine if they are outliers or errors; the whiskers will not include these outliers. Figure 1 shows a box plot:
