Infinity Learn Interview Questions and Answers

API stands for Application Programming Interface. It is a set of protocols and tools for building software applications.

• API is a way for different software components to communicate with each other

• It defines how software components should interact with each other

• API can be deployed on a server or cloud platform

• API can be accessed through HTTP requests

• API documentation is important for developers to understand how to use it

The center limit theorem states that the sum or average of a large number of independent and identically distributed random variables will tend towards a normal distribution.

• The theorem applies to a wide range of distributions, not just normal distributions.

• It is often used in statistical analysis to estimate population parameters.

• The theorem assumes that the random variables are independent and identically distributed.

• The larger the sample size, the closer the distribution w...read more

Covariance measures how two variables vary together, while correlation measures the strength of their linear relationship.

• Covariance can be positive, negative, or zero, indicating the direction of the relationship between the variables.

• Correlation ranges from -1 to 1, with 0 indicating no linear relationship and -1 or 1 indicating a perfect negative or positive linear relationship, respectively.

• Covariance is affected by the scale of the variables, while correlation is not.

• Cov...read more

word2vec is a neural network model used to generate word embeddings.

• word2vec uses a shallow neural network with one input layer, one hidden layer, and one output layer.

• It learns to predict the context of a word by training on a large corpus of text.

• The output of the hidden layer is used as the word embedding.

• There are two approaches to word2vec: continuous bag of words (CBOW) and skip-gram.

• CBOW predicts a word given its context, while skip-gram predicts the context given a wo...read more

Embeddings are a way to represent words or phrases as vectors in a high-dimensional space.

• Embeddings are learned through neural networks that analyze large amounts of text data.

• They capture semantic and syntactic relationships between words.

• They are used in natural language processing tasks such as language translation and sentiment analysis.

• Popular embedding models include Word2Vec and GloVe.

Docker is a platform for developing, shipping, and running applications using containerization technology.

• Docker allows developers to package their applications and dependencies into a container that can run on any machine.

• Docker containers are lightweight, portable, and can be easily deployed and scaled.

• Docker commands include 'docker run' to start a container, 'docker build' to create an image, and 'docker push' to upload an image to a registry.

• Docker also has a vast librar...read more