Vend’s point of sale system, inventory management, and iPad POS software is used by thousands of retailers worldwide. Try our POS system free today.
featured
Stripe: Radar
Sift
Kount
Signifyd
Stripe Chargeback Protection
Riskified
Chargebackhit
DyScan
NumPy
Pandas
OpenCV
Scikit-learn
Dataiku
Exploratory
htm.java
WEKA
Stripe: RadarNo Stripe: Radar videos yet. You could help us improve this page by suggesting one.
Based on our record, NumPy seems to be a lot more popular than Stripe: Radar. While we know about 107 links to NumPy, we've tracked only 6 mentions of Stripe: Radar. 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.
Using Stripes Advanced Fraud protection to keep you and your money safe,. Source: over 1 year ago
They should use their credit card processor's fraud detection. For example, Stripe has Stripe Radar: https://stripe.com/radar. Source: almost 2 years ago
Stripe Radar is the main tool used to do this, you can check it out here to get more detail: https://stripe.com/radar. Source: over 2 years ago
Usually, these online merchants (Netflix, Spotify, etc.) uses the same payment gateway. They're likely using Stripe. Once one merchant reports your card as "fraud" or detects unusual activity, it will be labeled as "high risk". Stripe will take note of that and will block the same card whenever it is used on other merchants. It's a security feature Stipe implements that work well for both the merchant and customer. Source: over 2 years ago
Stripe also has a division called Radar that would benefit from Databricks' expertise. However, does Stripe need to acquire/partner with Databricks for this or is just being a customer enough? Source: about 3 years ago
In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / 3 months ago
Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:. - Source: dev.to / 3 months ago
Numpy: A library for scientific computing in Python. - Source: dev.to / 6 months ago
Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy. - Source: dev.to / 7 months ago
A majority of software in the modern world is built upon various third party packages. These packages help offload work that would otherwise be rather tedious. This includes interacting with cloud APIs, developing scientific applications, or even creating web applications. As you gain experience in python you'll be using more and more of these packages developed by others to power your own code. In this example... - Source: dev.to / 8 months ago
Sift - Digital Trust & Safety enables your business to grow, innovate, introduce new products, features, and business models – without increased risk.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Kount - eCommerce fraud detection & prevention
OpenCV - OpenCV is the world's biggest computer vision library
Signifyd - Signifyd is a SaaS-based, enterprise-grade fraud technology solution for e-commerce stores.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.