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Nice applications, sometimes doesn't move real smoothe from one blank to the next if you do not need to fill in for that one it seems to get stuck and has a lag, but over all, nice program.
2017-05-01
Very User Friendly and convenient. Wish there was other nursing cheat sheets available. ( Treatment sheets, Vital assessment sheets, etc) Takes the guess work out of creating your own.
2018-05-05
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The site is intuitive and everything is organized in a no fuss manner. Scanning in documents and making changes is easy.
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The printing of documents can be tricky sometimes. Most of the time I save as a PDF and open with Adobe.
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Have the basic Adobe software as well. It makes printing documents, in the proper size, much easier.
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We have many documents that have to be changed constantly. Tax Exemption Forms, Charts and Invoices. This makes it very easy.
The site is intuitive and everything is organized in a no fuss manner. Scanning in documents and making changes is easy.
What do you dislike?
The printing of documents can be tricky sometimes. Most of the time I save as a PDF and open with Adobe.
Recommendations to others considering the product:
Have the basic Adobe software as well. It makes printing documents, in the proper size, much easier.
What problems are you solving with the product? What benefits have you realized?
We have many documents that have to be changed constantly. Tax Exemption Forms, Charts and Invoices. This makes it very easy.
2019-05-28
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I can easily create, manage and edit my pdf documents with Pdffiller. It is a cloud storage where you can quickly login through facebook or google account. Open your pdf and edit it easily. You can convert your document to the available templates fit for your form and objectiives. I like it because i can open my documents in a web browser or through its desktop application. You can easily create a form where the recipient can put his or her signature by using its send to sign tool. You can share your document. You can email it. Whats best is that you can have your form notarized.
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2019-01-23
Excellent Tool for Document Management
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2024-08-03
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2022-10-23
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2021-11-03
Excellent customer service. Keep it up.
Excellent, excellent customer service! I contacted the company because I was charged a subscription fee which I wasn't aware that I had not yet cancelled. The customer service representative called Anna, I believe, immediately informed me that the subscription would be cancelled and an email to that effect was sent to me. I was also informed that my money would be refunded shortly....and indeed, it was returned to my card in 48 hours. Although, I don't have need for their services at this time, I would definitely use them at a later date, should the need arise.
2020-10-09
Model Feature Notice: Simplifying Your Notifications
The Model Feature Notice keeps you informed without overwhelming you. This tool sends you timely and relevant notifications about changes or updates to your models. With this feature, you can maintain clarity and focus on your most important tasks.
Key Features of Model Feature Notice
Real-time notifications on model updates
Customizable alert settings for personalization
Integration with existing systems for seamless use
User-friendly interface for easy navigation
Detailed summaries to save you time
Potential Use Cases and Benefits
Stay updated on project developments without constant checking
Receive alerts aligned with your specific interests and needs
Improve collaboration by ensuring all team members are informed
Reduce the risk of missing critical updates or changes
Enhance productivity by eliminating unnecessary distractions
In summary, the Model Feature Notice addresses your need for timely information. It minimizes the hassle of tracking changes manually. By using this feature, you can focus more on your work and less on managing notifications, ensuring you are always in the loop with minimal effort.
For pdfFiller’s FAQs
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What are the steps for feature engineering?
Brainstorming or testing features. Deciding what features to create. Creating features. Checking how the features work with your model. Improving your features if needed. Go back to brainstorming/creating more features until the work is done.
What is feature engineering How do you engineer features how do you get good at it?
Feature engineering is the process of transforming raw data into features that better represent the underlying problem to the predictive models, resulting in improved model accuracy on unseen data. You can see the dependencies in this definition: The performance measures you've chosen (RMSE?
How do you become a feature engineer in machine learning?
The Feature Engineering Process Feature engineering means building features for each label while filtering the data used for the feature based on the label's cutoff time to make valid features. These features and labels are then passed to modeling where they will be used for training a machine learning algorithm.
Does deep learning require feature engineering?
The conclusion is simple: Much deep learning neural networks contain hard-coded data processing, feature extraction, and feature engineering. They may require less of these than other machine learning algorithms, but they still require some.
What is features in machine learning?
In machine learning and pattern recognition, a feature is an individual measurable property or characteristic of a phenomenon being observed. Choosing informative, discriminating and independent features is a crucial step for effective algorithms in pattern recognition, classification and regression.
Why do we need feature engineering?
Having and engineering good features will allow you to most accurately represent the underlying structure of the data and therefore create the best model. Features can be engineered by decomposing or splitting features, from external data sources, or aggregating or combining features to create new features.
What does feature engineering mean?
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
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.
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