BlockDAG Network comes with cutting-edge technology that has the potential to revolutionize the crypto industry and the way users interact with digital finance. Unlike traditional blockchain networks, BlockDAG uses a directed acyclic graph (DAG) structure to achieve greater scalability, faster transaction speeds, and stronger security. This innovative approach has succeeded in attracting the attention of industry experts and the wider public, sparking significant interest and discussion across social media platforms with the currently trending hashtag, #Binance $BTC $ETH $BNB
Binance is pleased to launch a new Word of the Day (WOTD) game! All eligible users will equally share a pool of 500,000 Binance Points, which can be used to redeem up to 10 USDT token voucher and up to 50 USDT trading fee rebate voucher at the Rewards Hub. The theme of this week is Risk Detection. Read selected articles to learn more about this topic, participate in this week’s WOTD, and grab a share of the rewards. Activity Period: 2024-02-12 00:00 (UTC) to 2024-02-18 23:59 (UTC) WOTD is an educational word-guessing game, which allows users to increase their crypto vocabulary and stay on top of the latest market developments. How Does It Work All eligible users may play up to two WOTD games per day to test their knowledge on the given topic. Users who get a total of five correct answers during the Activity Period are eligible for an equal share of 500,000 Binance Points. How to Enable the Second WOTD Game After the first game, click on the "Get A New WOTD" button. Share one of the selected articles of the day on social media. Unlock the second WOTD game once the selected article is successfully shared on social media and the shared link is clicked by a third party.
#MyFirstFeedPost Halo, Binance Square! A Feature Engineering Case Study in Consistency and Fraud Detection
Main Takeaways As the world’s largest crypto exchange, it’s crucial we have a risk detection system that is fast yet doesn’t compromise on accuracy. The challenge we encountered was ensuring our models always used up-to-date information, especially when detecting suspicious account activity in real-time. To achieve stronger feature consistency and greater production speed, we now make reasonable assumptions about our data and combine our batch and streaming pipelines.