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Articles related to "transaction"


Quick Guide on How to Get Started with BITYARD

  • This guide is written to explain how to create an account, how to buy and sell, and how to do mining at Bityard.
  • Creating an account and start trading at Bityard is easy.
  • Press Deposit Now button located at right bottom of your Dashboard and you will get a page like this.
  • To deposit USDT to your account scan the QR code and send 100 USDT to the generated address.
  • To start the withdrawal process, select the Chain name (I select ERC20), amount to withdraw (90 USDT), withdrawal address (I provided my ERC20 address), your account password, and code that will be sent to your email address.
  • To start selling, move to left pane of Dashboard and select DASH (like we did in buying).
  • After going through this guide you must have noticed that from creating an account to trading and mining, everything is super easy at Bityard.

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Zip re-rated by investors as global expansion unveiled

  • QuadPay has a relationship with US payments giant Stripe and has developed a virtual card that allows customers quick access to Apple Pay and Google Pay. Explaining the deal on a conference call on Wednesday, chief executive Larry Diamond introduced QuadPay co-founders Adam Ezra and Brad Lindenberg, Australian expatriates in New York who over three years have built up 1.5 million US customers by offering them, like Zip, the option to pay in four instalments, interest free, and charging the retailer.
  • As Mr Diamond and Peter Gray, Zip's other co-founder, explained on the call, the board thought Zip's share price was undervalued when it considered funding options for the deal - so was cautious about raising capital at a discount via an institutional placement.

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Fraud detection — Unsupervised Anomaly Detection

  • As a business owner, you can avoid serious headaches — and unwanted publicity — by recognizing potentially fraudulent use of credit cards in your payment environment.
  • The project uses a dataset of around 284000 credit card transactions which have been taken from Kaggle.
  • Since just the “Time” and “Amount” features are easely intepreted, we can use some visualizations to see the impact of the features on the target variable (fraud).
  • If a sample is similar to the rest of the dataset, the reconstructed data will be similar or even equal to the original data.
  • If the reconstructed data is not similar to the original one, we have a fraud.
  • Using TSNE we can compare the original data disposition with the PCA compressed data distribution.
  • Using TSNE we can compare the original data disposition with the Autoencoder compressed data distribution.

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Fraud detection — Unsupervised Anomaly Detection

  • As a business owner, you can avoid serious headaches — and unwanted publicity — by recognizing potentially fraudulent use of credit cards in your payment environment.
  • The project uses a dataset of around 284000 credit card transactions which have been taken from Kaggle.
  • Since just the “Time” and “Amount” features are easely intepreted, we can use some visualizations to see the impact of the features on the target variable (fraud).
  • If a sample is similar to the rest of the dataset, the reconstructed data will be similar or even equal to the original data.
  • If the reconstructed data is not similar to the original one, we have a fraud.
  • Using TSNE we can compare the original data disposition with the PCA compressed data distribution.
  • Using TSNE we can compare the original data disposition with the Autoencoder compressed data distribution.

save | comments | report | share on