Useful tips for everyday
How are Deep Blue and AlphaGo different? The major difference between Deep Blue and AlphaGo is training – programs are able to analyze and deduct…
Should training and validation batch size be the same? Validation set can have the same batch size as your training set, Only the final dataset…
What is the best strategy to solve the traveling salesperson problem? To solve the TSP using the Brute-Force approach, you must calculate the total number…
Why is the feature scaling important? Feature scaling is essential for machine learning algorithms that calculate distances between data. Therefore, the range of all features…
What is the difference between a training and testing dataset? The “training” data set is the general term for the samples used to create the…
What is the use of hypothesis testing in machine learning? why do we use it ? Hypothesis testing is an essential procedure in statistics. A…
Does facial recognition work with eyes only? Answer: It does now. That’s why Rank One, a facial recognition company, has developed a new periocular recognition…
How do you calculate optimal policy? Finding an Optimal policy : We find an optimal policy by maximizing over q*(s, a) i.e. our optimal state-action…
Why do we need to normalize layers? It normalizes each feature so that they maintains the contribution of every feature, as some feature has higher…
What are 5 good research questions? Five Questions for Good Research What is the problem to be solved? Every good research project solves some particular…