As a B2B database, ZoomInfo certainly has a lot to offer. Its detailed business information on people and companies is impressive, and I've found it to be a useful resource for researching potential clients and partners.
However, I do have a few criticisms of the product. Firstly, its pricing is quite steep, especially compared to other B2B databases on the market. This makes it difficult for smaller businesses or startups to justify the cost. Additionally, while the information on ZoomInfo is generally accurate and up-to-date, I have come across a few instances where the information was incomplete or outdated.
Despite these drawbacks, ZoomInfo is still a good resource for business information. It just might not be the best option out there. If you're willing to pay for a premium service, then ZoomInfo could be worth considering. However, if you're looking for more cost-effective alternatives, there are several options to consider.
Based on our record, NumPy seems to be a lot more popular than ZoomInfo. While we know about 112 links to NumPy, we've tracked only 5 mentions of ZoomInfo. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
For the phone calls - there's a decent chance they got your number from zoominfo.com - you can go there and request to be removed. Source: about 1 year ago
I just found a few data collator sites, zoominfo.com and signalhire.com are just two - they seem to scrape sites like Linkedin etc and collate everything. Personal numbers can be found pretty easily, if you've ever signed up for a business identification number it could be there, could be in a data leak somewhere - these companies are pretty shady and will buy data from places to just get a lead. Source: over 1 year ago
I currently use: thomasnet.com, zoominfo.com, and selletonline.com. Source: almost 2 years ago
Zoominfo.com is used by larger companies. Source: about 2 years ago
I suppose the easiest way is to just search the company on the intrawebs and see what their web site pulls up. You can kind of tell from there and their Yelp reviews/Google reviews, if they are their own company or some kind of contractor type company. I also used zoominfo.com to get a sense of how big the company was. You'll probably be able to tell from there if they are their own company or part of a larger... Source: over 2 years ago
How to Accomplish: Develop a script that iterates over the image database, preprocesses each image according to the model's requirements (e.g., resizing, normalization), and feeds them into the model for prediction. Ensure the script can handle large datasets efficiently by implementing batch processing. Use libraries like NumPy or Pandas for data management and TensorFlow or PyTorch for model inference. Include... - Source: dev.to / 20 days ago
NumPy: This library is fundamental for handling arrays and matrices, such as for operations that involve image data. NumPy is used to manipulate image data and perform calculations for image transformations and mask operations. - Source: dev.to / 20 days ago
NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 25 days ago
This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / 27 days ago
Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 10 months ago
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Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
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Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.