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PH Digest: Malaysia's CTOS acquires FinScore; Budget shopping Temu enters Philippines

CTOS Digital, a credit reporting agency based in Malaysia, has acquired FinScore, a PH-headquartered fintech startup, for about $5.9 million. ....

South Korea , Jawa Tengah , Neural Networks , Alibaba Group Lazada , Telco Credit Scoring , Gradient Boosting , Southeast Asia , Alibaba Group , Singapore Based Shopee ,

Introducing EXGBoost: Gradient Boosting in Elixir

The latest machine learning addition to the Elixir ecosystem gives you the ability to use gradient boosting without leaving the Elixir ecosystem. ....

Data Science , Gradient Boosting ,

Mocasa Innovates Credit Payment Sphere with Telco-Based Credit Scores by FinScore

In its sophomore year in the business, Mocasa doubles down on its commitment to help bridge the fin ....

Christo Georgiev , Neural Networks , Finscore Mocasa , Mocasa Chief Operating , Telco Data , Finscore Country Head , Chief Operating Officer Christo , Telco Data Credit Score , Gradient Boosting , Mocasa Credit , Telco Scoring ,

"Machine learning-based failure mode identification of double shear bol" by Samia Zakir Sarothi, Khondaker Sakil Ahmed et al.

The design of double shear bolted connections in structural steel is governed by four different failure modes; tear out, splitting, net-section, and bearing. Ten machine learning (ML) approaches were explored on a comprehensive database of 455 experimental results for identifying the failure modes of double shear bolted connections. Among them, Random Forest (RF), CatBoost, XGBoost, and Gradient Boosting (GB) attained 90–92% accuracy on the testing dataset for classifying the failure modes. The best-performing models revealed that the ratio of the edge distance-to-bolt diameter (e2/d0) is the most important feature with an influence of nearly 30% on the failure mode of the connections. Interestingly, the number of bolt rows in a connection also influences the failure mode, which was not captured by existing equations and design codes. Finally, a user interface capturing all proposed ML models was developed to identify the failure modes of double shear bolted connections. ....

Random Forest , Gradient Boosting , Bolted Connection , Failure Mode , Machine Learning ,

Hopular: Modern Hopfield Networks for Tabular Data

🏆 SOTA for General Classification on Shrutime (Accuracy metric) ....

While Deep Learning , Support Vector Machines , Random Forests , Gradient Boosting , Deep Learning ,