Category: lavanya-private

Why do you typically see overflow and underflow when implementing an ML algorithms ?

Posted on by MLInterview

A common pre-processing step is to normalize/rescale inputs so that they are not too high or low. However, even on normalized inputs, overflows and underflows can occur: Underflow: Joint probability distribution often involves multiplying small individual probabilities. Many probabilistic algorithms involve multiplying probabilities of individual data points that leads to underflow. Example : Suppose you…

With the maximum likelihood estimate are we guaranteed to find a global Optima ?

Posted on by MLInterview

Maximum likelihood estimate finds that value of parameters that maximize the likelihood. If the likelihood is strictly concave(or negative of likelihood is strictly convex), we are guaranteed to find a unique optimum. This is usually not the case and we end up finding a local optima. Hence, the Maximum likelihood estimate usually finds a local…

What is the difference between deep learning and machine learning?

Posted on by MLInterview

Deep learning is a subset of Machine Learning. Machine learning is the ability to build “models” that can learn automatically from data, without programming explicit rules. Machine Learning models typically have the ability to generalize to new data. Deep Learning is a field in machine learning where we build multi-layered artificial neural network models to…

What are evaluation metrics for multi-class classification problem (like positive/negative/neutral sentiment analysis)

Posted on by MLInterview

For multiclass classification(MCC) problems, metrics  can be derived from the confusion matrix. Let $tp_i,tn_i,fp_i,fn_i$ denote the true positives, true negatives, false positives, false negatives respectively. MCC problems, usually macro and micro metrics are computed: → Micro metrics (with subscript $\mu$ in table below) are computed by summing up individual tp, tn, fp and fn to…

What is the Page Rank Algorithm ?

Posted on by MLInterview

How do search engines find what you want? When we search on the internet, we want to see the most relevant pages. Page rank algorithm is a tool to determine which pages are more authorative on the internet based on their popularity to ensure users see pages that are most likely to be of use…

You want to find food related topics in twitter – how do you go about it ?

Posted on by MLInterview

One can use any of the topic models above to get topics. However, to direct the topics to contain food related information, specialized topic modeling algorithms are available. However, one simple way to direct the topics to food related things is : Filter tweets by a limited set of food related keywords (food, meal, dinner,…