For the task of classifying news articles into their subject type (finance, science, politics, etc), what is a current state-of-the-art approach (described in detail)? Describe the latency of this approach. Think of simpler, classical models that can achieve faster throughput while maintaining high accuracy for this task.
If 75 customers fall randomly into three equal-sized databases, all partitions are equally likely. Bob and Ben are two randomly selected customers. What is the probability that Bob and Ben are in the same customer database?
All the questions are trivial. One example would be reversing a string.
internship experience and research work in colledge
Statistics and algorithms; also past experiences
you were asked to build a random forest model. You were also asked a follow-up question on the correlation between variables X and Y,
Tree pruning in xg boost
What knid of pattern did you observe when you explored the trading data?
How to find optimal weight for a probability problem.
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