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What our customers say about pdfFiller
See for yourself by reading reviews on the most popular resources:
I've only used it twice, but it is very easy to navigate.
I am using it to send preliminary notices for out plumbing contractors business. It works great.
2015-11-06
I love that I am able to correct and hold prior to sending out my file for signature. I wish I could however have a authorization statement from the Calyx Point file to use more of there forms.
2018-04-06
It made a nice document. The only thing that is challenging is that you have to go line by line instead of having an option to change more than one line.
2020-02-01
What do you like best?
PDFFILLER has been one of the best platforms I’ve used in client document transmission. The price is unmatched for the services available and the HIPAA compliance seals the deal.
What do you dislike?
The only downside is how long some forms such as registration can take to complete when adding in the initial fillable fields.
What problems are you solving with the product? What benefits have you realized?
Many of my clients are throughout the country, so the ease of securely transmitting documents while maintaining HIPAA compliance is the best problem solved. I recently discovered the ability to have documents faxed digitally through the services and it’s cut down on my physical paperwork.
PDFFILLER has been one of the best platforms I’ve used in client document transmission. The price is unmatched for the services available and the HIPAA compliance seals the deal.
What do you dislike?
The only downside is how long some forms such as registration can take to complete when adding in the initial fillable fields.
What problems are you solving with the product? What benefits have you realized?
Many of my clients are throughout the country, so the ease of securely transmitting documents while maintaining HIPAA compliance is the best problem solved. I recently discovered the ability to have documents faxed digitally through the services and it’s cut down on my physical paperwork.
2019-06-08
Easy to use
It has made life much easier for my clients to receive what they need in a more timely manner
Easy to upload specific documents for editing.
When a field needs to be erased, the program always resets to add text. You have to re-select the erase button after each erased field.
2019-01-21
great product
We use this on an annual basis to prepare our tax docs for our Church employees. Great service and they are always willing to help even when its a user error. thank you
2021-02-27
I like it very much, I think it has great fearures and it has helped me a lot... so much that I was ready to become a paid user. However, 2 of the last documents I uploaded to the system were cut-off and seriously changed (different format, things missing, etc) the uploaded document did not show as an identical version of the original document and that made me change my mind. I use it for contracts and they need to be exactly as the original document. These are legally binding documents, so because of that, I decided not to continue the service after the free trial ends.
2020-06-28
It was free and it only cost me a lil…
It was free and it only cost me a lil over a buck to save to my computer for first time purchase of the 30 day free trial
2025-01-22
organization
I wish the updates had an option to keep the title and not make duplicates. I like to keep "my documents" organized and not all the downloads unless I want to save it as multiple copies. I love that it combines pdfs w other docs. I love the highlight and annotate features.
2024-12-12
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What is feature transformation?
Feature transformation (FT) refers to family of algorithms that create new features using the existing features. These new features may not have the same interpretation as the original features, but they may have more discriminatory power in a different space than the original space.
What is feature creation?
Feature engineering, also known as feature creation, is the process of constructing new features from existing data to train a machine learning model. Typically, feature engineering is a drawn-out manual process, relying on domain knowledge, intuition, and data manipulation.
What is feature generation?
Feature generation is the process of creating new features from one or multiple existing features, potentially for using in statistical analysis. This process adds new information to be accessible during the model construction and therefore hopefully result in more accurate model.
How do you become a feature engineer?
(tasks before here) Select Data: Integrate data, denormalize it into a dataset, collect it together. Preprocess Data: Format it, clean it, sample it, so you can work with it. Transform Data: Feature Engineer happens here. Model Data: Create models, evaluate them and tune them.
What is a feature in data science?
Each feature, or column, represents a measurable piece of data that can be used for analysis: Name, Age, Sex, Fare, and so on. Features are also sometimes referred to as variables or attributes. Depending on what you're trying to analyze, the features you include in your dataset can vary widely.
What is data transformation in machine learning?
Why You Need Data Transformation in Machine Learning. Data transformation is the process in which you take data from its raw, siloed and normalized source state and transform it into data that's joined together, dimensionally modeled, denormalized, and ready for analysis.
What does data transformation mean?
In computing, Data transformation is the process of converting data from one format or structure into another format or structure. It is a fundamental aspect of most data integration and data management tasks such as data wrangling, data warehousing, data integration and application integration.
What is transforming machine learning?
Feature transformation (FT) refers to family of algorithms that create new features using the existing features. These new features may not have the same interpretation as the original features, but they may have more discriminatory power in a different space than the original space.
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