Naive Bayes       Naive Bayes is among one of the most simple and powerful algorithms for classification based on Bayes’ Theorem with an assumption of independence among predictors. Naive Bayes model is easy to build and particularly useful for very large data sets. There are two parts to this...

In this comprehensive set of advanced TensorFlow interview questions, we aim to delve into the intricacies of the TensorFlow library, spanning both foundational and advanced concepts. Our interview questions extend beyond theoretical knowledge, delving into practical applications and real-world scenarios, examining candidates' proficiency in...

Machine learning is the study of computer algorithms that improve automatically through experience. It is seen as a subset of artificial intelligence.Machine learning focuses on the development of computer programs that can access data and use it learn for themselves 1. What is machine learning? Ans: Machine learning is the field of...

Machine Learning is the field of study that gives computers the capability to learn without being explicitly programmed. ML is one of the most exciting technologies that one would have ever come across. As it is evident from the name, it gives the computer that makes it more similar to humans: The ability to learn. Machine learning is actively...

What is the Random Forest Algorithm? Random forests or random decision forests are an ensemble learning method for classification, regression and other tasks that operate by constructing a multitude of decision trees at training time and outputting the class that is the mode of the classes or mean prediction of the individual...

What is TensorFlow? TensorFlow is a free and open-source software library for dataflow and differentiable programming across a range of tasks. It is a symbolic math library, and is also used for machine learning applications such as neural networks.It is used for both research and production at Google.‍ TensorFlow was developed by the...

What is Deep Learning? Deep learning is a computer software that mimics the network of neurons in a brain. It is a subset of machine learning and is called deep learning because it makes use of deep neural networks. Deep learning algorithms are constructed with connected layers. The first layer is called the Input LayerThe last layer is...

What is an Artificial Neuron? Considering the state of today’s world and to solve the problems around us we are trying to determine the solutions by understanding how nature works, this is also known as biomimicry. In the same way, to work like human brains, people developed artificial neurons that work similarly to biological neurons in a...

What is Classification In Machine Learning?  Classification is a process of categorizing a given set of data into classes, It can be performed on both structured or unstructured data. The process starts with predicting the class of given data points. The classes are often referred to as target, label or categories. The classification...