Q11easyIn the context of Gradient Descent, what does the Learning Rate ($ \alpha$) represent?AThe total time the model takes to train.BThe size of the steps taken toward the minimum of the loss function.CThe accuracy of the final prediction.DThe number of layers in a neural network.Check AnswerReveal Answer & ExplanationDiscuss on Board
Q12easyWhat is the dot product of two vectors u = [1, 2] and v = [3, 4]?A7B[3, 8]C5D11Check AnswerReveal Answer & ExplanationDiscuss on Board
Q13easyWhat is the purpose of the Standard Deviation in a dataset?ATo find the average value.BTo sort the data alphabetically.CTo measure the amount of variation or dispersion of the data points from the mean.DTo normalize the data between 0 and 1.Check AnswerReveal Answer & ExplanationDiscuss on Board
Q14easyWhat is the Sigmoid Function used for in ML?ACalculating the derivative of a matrix.BSquashing any input value into a range between 0 and 1, often used for binary classification.CSorting array data.DFinding the mean of a dataset.Check AnswerReveal Answer & ExplanationDiscuss on Board
Q15easyWhat does the Central Limit Theorem state?AMachine learning models are always accurate.BData is always distributed uniformly.CThe distribution of sample means will approximate a normal distribution as the sample size increases, regardless of the population distribution.DThe mean is always equal to the median.Check AnswerReveal Answer & ExplanationDiscuss on Board