Airflow operators are core components of any workflow defined in airflow. The operator represents a single task that runs independently without sharing any information. Operators can execute various actions such as python function, bash command, SQL query, triggering API, sending email, and performing conditional operations. In airflow documentation, operator and…

Machine Learning Operations (MLOps) is a multi-disciplinary field that combines machine learning and software development lifecycle. It is an overlap between machine learning and IT operations. MLOps observes the performance of machine learning models in production environments, detects the issues, and makes changes as needed. …

In this tutorial, we will focus on Spark, Spark Framework, its Architecture, working, Resilient Distributed Datasets, RDD operations, Spark programming language, and a comparison of Spark with MapReduce. Spark is a fast cluster computing system that is compatible with Hadoop. It has the capability to work with any Hadoop-supported storage…

In this tutorial, we will focus on what is Hadoop, its features, components, job trends, architecture, ecosystem, applications, and disadvantages. The main objective of any big data platform is to extract patterns and insights from large and heterogeneous data for decision-making. …

In this tutorial, we will focus on Latent Dirichlet Allocation (LDA) and perform topic modeling using Scikit-learn. LDA is an unsupervised learning algorithm that discovers a blend of different themes or topics in a set of documents. What is Latent Dirichlet Allocation? Latent Dirichlet Allocation is the most popular technique for performing topic modeling. LDA…

In this tutorial, we will focus on multi-layer perception, it's working, and hands-on in python. Multi-Layer Perceptron(MLP) is the simplest type of artificial neural network. It is a combination of multiple perceptron models. Perceptrons are inspired by the human brain and try to simulate its functionality to solve problems. In…

The activation function defines the output of a neuron in terms of the induced local field. Activation functions are a single line of code that gives the neural nets non-linearity and expressiveness.

Top 20 frequently asked Big Data interview questions and answers for freshers and experienced Data Engineers, ETL engineers, Data Scientists, and Machine learning engineers job roles. Let’s see the interview questions and answers in detail. 1. What is Big Data? Big data is a large amount of data that cannot be handled by traditional IT…

Backpropagation neural network is used to improve the accuracy of neural network and make them capable of self-learning. Backpropagation means “backward propagation of errors”. Here error is spread into the reverse direction in order to achieve better performance. Backpropagation is an algorithm for supervised learning of artificial neural networks that…