1 Session 12 - Machine Learning Training Models - June 23, 2018

2 Session 13 - Machine Learning Training Models - June 24, 2018

3 Session 14 - Machine Learning Training Models - June 30, 2018

4 Session 15 - Machine Learning Training Models - July 1, 2018

5 Training Models - MCQs - Which of these will have a better chance of giving...

6 Training Models - MCQs - Which of these is faster for large number of datasets?...

7 Training Models - MCQs - Which of these will you use when there are small...

8 Training Models - MCQs - Which of these will you use when there are large...

9 Training Models - MCQs - Batch Gradient Descent involves calculations over the full training set...

10 Training Models - MCQs - For linear regression problems, MSE is a convex function and...

11 Training Models - MCQs - Training Linear Regression model using Normal Equation is linear with...

12 Training Models - MCQs - Prediction using Linear Regression model is linear with both the...

13 Training Models - MCQs - Which of these is more prone to overfitting?...

14 Training Models - MCQs - RMSE is more sensitive to outliers than MAE. True or...

15 Training Models - MCQs - The higher the norm index would imply:...

16 Training Models - MCQs - What will be the output of the following command? u...

17 Training Models - MCQs - Which of the following libraries can be used for linear...

18 Training Models - MCQs - Vector addition is commutative and associative?...

19 Training Models - MCQs - Logitic regression is a...

20 Training Models - MCQs - Elastic Net uses which norm?...

21 Training Models - MCQs - Lasso regression uses which norm?...

22 Training Models - MCQs - Ridge regression uses which norm?...

23 Training Models - MCQs - If u.v = 0 where u and v are vectors,...

24 Training Models - MCQs - If u.v = 0 where u and v are vectors,...

25 Training Models - MCQs - Is dot product of three vectors associative?...

26 Training Models - MCQs - Dot product between a vector and a scalar is not...

27 Training Models - MCQs - Dot product is commutative...

28 Training Models - MCQs - u = [1,2,3] and v = [3,4,5]. u * v...

29 Training Models - MCQs - What is the dot product impelementation in numpy?...

30 Training Models - MCQs - Which of these can be used to reduce the Irreducible...

31 Training Models - MCQs - A high-degree polynomial model is likely to have:...

32 Training Models - MCQs - In Batch Gradient Descent, convergence rate decreases with increase in...

33 Training Models - MCQs - How to determine a good learning rate for batch gradient...

34 Training Models - MCQs - Batch Gradient Descent scales well with number of features?...

35 Training Models - MCQs - Batch Gradient Descent scales well with number of training datasets?...

36 Training Models - MCQs - Should we use Batch Gradient Descent for solving linear models...

37 Training Models - MCQs - Should we use normal equation for solving linear models with...

38 Training Models - MCQs - In the normal equation, the computational complexity of calculating the...

39 Training Models - MCQs - In the normal equation, the computational complexity of calculating the...

40 Training Models - MCQs - In the normal equation, we need to calculate the inverse...

41 Training Models - MCQs - In the normal equation, what is the size of of...

42 Training Models - MCQs - Which of these is an iterative way of training a...

43 Training Models - MCQs - For SGD, the solution is good but not optimal, true...

44 Training Models - MCQs - In SGD, the solution never settles down. To solve this...

45 Training Models - MCQs - A high-bias model is most like to:...

46 Training Models - MCQs - A model's generalization error can expressed as a sum of...

47 Training Models - MCQs - One way to improve an overfitting model is:...

48 Training Models - MCQs - In over-fitting, the performance of the model generalizes well. True...

49 Training Models - MCQs - A high-degree polynomial feature can lead to:...

50 Training Models - MCQs - What will be the number of features after using Polynomial...

51 Training Models - MCQs - Which of these provide out-of-core support for linear regression?...

52 Training Models - MCQs - NormalEquation class in scikit learn solve linear regression using:...

53 Training Models - MCQs - It is harder for mini-batch gradient descent than SGD to...

54 Training Models - MCQs - In mini-batch gradient descent, the path taken is less erratic...

55 Training Models - MCQs - Which of the following Scikit class can be used for...

56 Training Models - MCQs - Which of these should be used for small training datasets?...