Topics tagged statistics

Topic	Replies	Views	Activity
What statistics should I know to do data science? Data Science, AI and ML statistics , maths , data-science	2	380	13 February 2022
How can you choose a classifier based on a training set size? Data Science, AI and ML statistics , model	2	3551	10 February 2022
What are the problems noted when using AU-ROC curve Data Science, AI and ML statistics , machine-learning	2	310	8 August 2021
When should we reject the null-hypothesis? Data Science, AI and ML statistics , hypothesis	2	316	8 August 2021
Why is naive Bayes called ‘naive’? Data Science, AI and ML statistics , probability	2	316	8 August 2021
Explain the Bias-Variance Tradeoff Data Science, AI and ML statistics , bias	2	293	8 August 2021
Explain the parametric models with an example Data Science, AI and ML statistics , model	2	279	8 August 2021
How do you decide hyperparameters in the dataset Data Science, AI and ML python , statistics , algorithm , machine-learning	2	304	8 August 2021
What is correlation and covariance in statistics Data Science, AI and ML statistics	2	396	8 August 2021
Why do we use harmonic in f1-score? Data Science, AI and ML statistics , machine-learning	2	339	8 August 2021
What is the Box-Cox transformation used for? Data Science, AI and ML statistics	2	293	8 August 2021
What is an Activation Function and its types? Data Science, AI and ML statistics , function , machine-learning	2	350	8 August 2021
What is maximum likelihood estimation? Data Science, AI and ML statistics	2	316	8 August 2021
What is the confusion matrix? Data Science, AI and ML python , statistics	2	329	8 August 2021
How much data should you allocate for your training, validation, and test sets? Data Science, AI and ML statistics , machine-learning , data	2	562	7 August 2021
How can you help the marketing team be more efficient using data? Data Science, AI and ML statistics , algorithm , machine-learning , data	2	308	7 August 2021
What is dropout in deep learning? Data Science, AI and ML statistics , data , sample-data	2	325	7 August 2021
Bias - Variance trade-off Data Science, AI and ML python , statistics , machine-learning	2	351	31 July 2021
Explain linear regression Data Science, AI and ML python , statistics , algorithm , regression , machine-learning	2	358	31 July 2021
What is stochastic gradient descent? Data Science, AI and ML statistics , probability , machine-learning	2	297	31 July 2021
Why do we have different cost functions for linear and logistic regression? Data Science, AI and ML python , statistics , algorithm , machine-learning	2	340	31 July 2021
What is min-max normalization? Where do we use it? Data Science, AI and ML python , statistics , algorithm , machine-learning	2	385	31 July 2021
Define the sigmoid function Data Science, AI and ML statistics , algorithm , machine-learning	2	348	29 July 2021
What is gradient descent? Data Science, AI and ML python , statistics , machine-learning	2	296	28 July 2021
What are Type 1 and Type 2 error? Data Science, AI and ML statistics , maths , error	2	362	30 June 2021
Can I be a data scientist without math or stats? Data Science, AI and ML statistics , maths , data-science , data-scientist	1	358	30 June 2021
What is Hypothesis testing? Data Science, AI and ML statistics , maths	2	342	30 June 2021
Explain the Bayes theorem Data Science, AI and ML statistics , probability , maths-concepts	2	327	29 June 2021
When would you use GD over SDG, and vice-versa? Data Science, AI and ML statistics , algorithm , machine-learning	1	443	14 August 2020
What is the difference between stochastic gradient descent (SGD) and gradient descent (GD)? Data Science, AI and ML statistics , algorithm	1	314	14 August 2020