BlockDAG Network hadir dengan teknologi mutakhir yang berpotensi merevolusi industri kripto dan cara pengguna berinteraksi dengan keuangan digital. Tidak seperti jaringan blockchain tradisional, BlockDAG menggunakan struktur directed acyclic graph (DAG) untuk mencapai skalabilitas (scalability) yang lebih besar, kecepatan transaksi yang lebih cepat, serta keamanan yang lebih kuat. Pendekatan inovatif ini berhasil menarik perhatian para pakar industri dan juga masyarakat luas, memantik minat dan diskusi signifikan di seluruh platform media sosial dengan tagar/hashtag yang tengah trending saat ini, #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.
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