phData

OCTOBER 13, 2023

Subcat TF CONTAINS([Subcat Parameter], [Sub-Category]) OR [Subcat Parameter] = "ALL" 2. Subcat Param Action REPLACE(IF CONTAINS([Subcat Parameter], [Sub-Category]) THEN REPLACE([Subcat Parameter], [Sub-Category] + ",","") ELSE [Subcat Parameter] + [Sub-Category] + ", " END,"ALL","") 3. FALSE FALSE 5.

Tableau 52

Tableau Data Visualization 52

Mlearning.ai

AUGUST 7, 2023

Imagine, with a e-Menu to order food, instead of scrolling and clicking on different categories, one can ask the assistant “do you have carrot cake”, it either navigate to the detail page of carrot cake or to the category if it’s ambiguous.

AI 52

AI AI ML ML 52

Mlearning.ai

APRIL 17, 2023

astype('category').cat.as_ordered() This acts as a uniform label for the ‘infrequent categories’ that were replaced during cardinality reduction in the code chunk further above. rolling(window=t).count().reset_index(drop=True).fillna(0) reset_index(drop=True).fillna(0) rolling(window=t).mean().reset_index(drop=True).fillna(0)

Decision Trees 52

Decision Trees Algorithm Data Analyst Python 52

Heartbeat

MARCH 1, 2023

The fourth layer then includes 10 categories to reflect the 10 sample images that are included in our dataset. The first layer accepts images with a 32 by 32 pixel dimension, while the second and third levels are deep layers with 3000 and 1000 neurons, respectively.

ML 52

ML ML Machine Learning Machine Learning 52

Heartbeat

AUGUST 22, 2023

Introduction Text classification is the process of automatically assigning a set of predefined categories or labels to a piece of text. This involves feeding the model a large amount of text data that has been manually labeled with the correct category or label. We have an accuracy of 92% at the 5th epoch, which is great for our model.

Machine Learning 52

Machine Learning Machine Learning Natural Language Processing Support Vector Machines 52

AWS Machine Learning Blog

OCTOBER 6, 2023

The text prompt (image classes, categories, or tags) whose embedding is most similar (for example, has the smallest distance) to the image embedding is considered the most relevant, and the image is classified accordingly. The embeddings of the image and text are then compared to determine their similarity, such as cosine similarity.

AI 100

AI AI AWS ML 100

Mlearning.ai

FEBRUARY 10, 2024

The issue of zero-frequency can arise when a category in the test data has not been seen in the training data, resulting in a probability of 0. The idea of features behaving independently is often unrealistic when dealing with actual data, leading to potential limitations in classifier performance. 466 accuracy 0.77 2874 macro avg 0.59

Algorithm 52

Algorithm Decision Trees Cross Validation Machine Learning 52