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It is easy to fill out proposals with your template. I wish there was a way to make it easier to access it because I will be using that document many times and so far I have had to search for it.
2018-08-05
Takes some time to get used to, and a little pricey, but acceptable. Will look around for cheaper alternatives when it comes to renewing subscription.
2019-06-04
I really liked the variable size eraser. I needed to send my bank statement out and I did not feel the party needed to know my balance when they were only looking for a particular debit.
2019-11-07
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It's simple and easy. I can pull forms from the internet, email, my desktop, etc and fill them in for a professional look.
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The printing process could be laid out a little more simply. It works well; but a little 'clumsy' vs smooth like printing in microsoft products.
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It an efficient product that makes all documents/applications/etc look professional.
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Completion of all business forms look professional. We've eliminated handwritten credit applications. It's efficient to create and especially for credit applications, we save the prior information there so easy to update.
It's simple and easy. I can pull forms from the internet, email, my desktop, etc and fill them in for a professional look.
What do you dislike?
The printing process could be laid out a little more simply. It works well; but a little 'clumsy' vs smooth like printing in microsoft products.
Recommendations to others considering the product:
It an efficient product that makes all documents/applications/etc look professional.
What problems are you solving with the product? What benefits have you realized?
Completion of all business forms look professional. We've eliminated handwritten credit applications. It's efficient to create and especially for credit applications, we save the prior information there so easy to update.
2019-02-25
Pretty easy to use!
Pretty easy to use!Update: Been using this a while now, only down side is that when you blank off certain information, save the file and open it to check, for a very brief second all the old information flashes up.
2020-02-09
I have only used it to get the 1500 form used in billing. I like that you can save your info.
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2017-11-24
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2023-02-07
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Easy to use and edit PDF files. Pricing was cheaper compared to alternatives
I was not able to send documents for remote signing easily
2022-11-11
Customer service are extremely…
Customer service are extremely efficient. I had an issue, it was dealt with within an hour. Could not ask for better customer service.
2021-12-15
Document Application - PCA Feature
The PCA feature in our Document Application streamlines your document management process. This tool simplifies how you organize, analyze, and utilize your documents. Whether you handle contracts, reports, or any other paperwork, PCA makes it easier to gain insights and maintain control over your documents.
Key Features
Automated document classification
Intuitive analysis tools
Seamless integration with existing systems
User-friendly interface
Real-time collaboration capabilities
Potential Use Cases
Small businesses looking to improve document organization
Legal firms managing client files and contracts
Education institutions handling administrative documents
Healthcare providers managing patient records
Finance departments tracking invoices and reports
The PCA feature helps you save time and reduce errors. By automating document classification, you eliminate the frustration of manual sorting. Consequently, you will have more time to focus on your core tasks. Also, with real-time collaboration, your team can work together efficiently, ensuring everyone stays on the same page. Let PCA transform your document processing into a smooth and organized experience.
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What is PCA Explained_variance_ratio_?
The PCA. Explained_variance_ratio_ parameter returns a vector of the variance explained by each dimension. Thus, PCA.
What is PCA Components_ in Learn?
Annoyingly there is no Learn documentation for this attribute, beyond the general description of the PCA method. Components_ is the set of all eigenvectors (aka loading) for your projection space (one eigenvector for each principal component). Once you have the eigenvectors using PCA.
What is PCA in Learn?
Principal component analysis (PCA). Linear dimensionality reduction using Singular Value Decomposition of the data to project it to a lower dimensional space. The input data is centered but not scaled for each feature before applying the SVD.
How do you use Sci kit learn PCA?
Initialize the PCA class by passing the number of components to the constructor.
Call the fit and then transform methods by passing the feature set to these methods. The transform method returns the specified number of principal components.
Does Learn PCA normalize?
Your normalization places your data in a new space which is seen by the PCA and its transform basically expects the data to be in the same space. The prepended scale will then always apply its transformation to the data before it goes to the PCA object. As talismans points out, you may want to use learn.
What does PCA transform do?
According to Wikipedia, PCA is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables (entities each of which takes on various numerical values) into a set of values of linearly uncorrelated variables called principal components.
What is PCA used for?
Principal component analysis (PCA) is a technique used to emphasize variation and bring out strong patterns in a dataset. It's often used to make data easy to explore and visualize.
What does PCA return?
COFF = PCA(X) returns the principal component coefficients, also known as loading, for the n-by-p data matrix X. Rows of X correspond to observations and columns correspond to variables. For example, you can specify the number of principal components PCA returns or an algorithm other than SVD to use.
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