Ask Ghassem - Recent activity in Machine Learning Interview Questions

Retagged: What is the difference between a batch and an epoch in a Neural Network?

Wed, 28 Sep 2022 10:40:08 +0000

Both of the batch size and number of epochs are integer values and seem to do the same thing in Stochastic gradient descent. What are these two hyper-parameters of this learning algorithm?

Answered: Can we have multiple target values in a ML problem dataset for supervised learning?

Fri, 11 Jun 2021 16:48:41 +0000

Yes, not only it is possible it is also possible with Neural Networks with output layers with more than one neuron, but also with traditional machine learning algorithms.

Answered: What is human-in-the-loop machine learning system?

Thu, 14 Feb 2019 00:20:26 +0000

Human-in-the-loop (HITL) is a branch of artificial intelligence that leverages both human and machine intelligence to create machine learning models. In a traditional human-in-the-loop approach, people are involved in a virtuous circle where they train, tune, and test a particular algorithm. Read more details here.

https://i.imgur.com/tBeKG7X.png

Answered: What is residual in the context of linear regression?

Tue, 30 Oct 2018 11:38:57 +0000

The difference between the observed value of the dependent variable (y) and the predicted value (ŷ) is called the residual (e). Each data point has one residual. Both the sum and the mean of the residuals are equal to zero.

Answered: What is the difference between supervised and unsupervised machine learning?

Tue, 30 Oct 2018 00:33:53 +0000

machine learning is an Algorithms that can learn from observational data, and can make prediction based on it.

What is unsupervised learning The model is not given any “answers” to learn from; it must make sense of the data just given observations themselves.

Commented: What is k-means algorithm and how can we select K for it?

Wed, 17 Oct 2018 14:42:19 +0000

Is not this rule be of thumb for k-NN?!

Explain the Recommender Systems and give an example?

Mon, 15 Oct 2018 05:47:14 +0000

Why do we need big data to train Deep Neural Networks?

Mon, 08 Oct 2018 12:15:46 +0000

Why might it be preferable to include fewer features (predictors) over many?

Mon, 08 Oct 2018 12:13:01 +0000

What are Training set, Validation set, Test set, and Gold set in supervised and unsupervised machine learning?

Mon, 08 Oct 2018 11:48:29 +0000

What is the goal of Feature Extraction and Feature Engineering in machine learning?

Mon, 08 Oct 2018 11:45:45 +0000

What are the most important machine learning algorithms?

Mon, 08 Oct 2018 11:43:59 +0000

Retagged: Explain Cross-validation and why should we use it in Machine Learning?

Mon, 08 Oct 2018 09:41:43 +0000

What is the difference between overfitting and underfitting in Machine Learning?

Fri, 28 Sep 2018 14:51:58 +0000

What is Bayes’ Theorem? How is it useful in machine learning? Where should we use it?

Thu, 27 Sep 2018 05:27:55 +0000

How does an ROC curve works?

Thu, 27 Sep 2018 05:26:13 +0000

How is KNN different from k-means clustering?

Thu, 27 Sep 2018 05:25:34 +0000