## Text extraction from image using LSB based steganography

Prerequisite: LSB based Image steganography using MATLAB In LSB based Image steganography using MATLAB, we saw how to hide text inside an image. In this… Read More »

- Python | Implementation of Movie Recommender System
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- ML | Normal Equation in Linear Regression
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- Python | Tokenize text using TextBlob
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- ML | Locally weighted Linear Regression
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- ML | Mini-Batch Gradient Descent with Python
- ML | Label Encoding of datasets in Python
- MATLAB | Complement colors in a Grayscale Image
- ML | Stochastic Gradient Descent (SGD)
- ML | Using SVM to perform classification on a non-linear dataset
- Q-Learning in Python

Prerequisite: LSB based Image steganography using MATLAB In LSB based Image steganography using MATLAB, we saw how to hide text inside an image. In this… Read More »

Did you know that a set of computer algorithms can process a video stream in a way that allows them to detect criminal activity, control… Read More »

Signal is an electric or electromagnetic current carrying data, that can be transmitted or received. Mathematically represented as a function of an independent variable e.g.… Read More »

What is Gradient Descent? Before talking about Stochastic Gradient Descent (SGD), let’s first understand what is Gradient Descent? Gradient Descent is a very popular optimization… Read More »

Pre-Requisite : Reinforcement Learning Reinforcement Learning briefly is a paradigm of Learning Process in which a learning agent learns, overtime, to behave optimally in a… Read More »

Elasticsearch is a full-text search and analytics engine based on Apache Lucene. Elasticsearch makes it easier to perform data aggregation operations on data from multiple… Read More »

Data Analytics is an important aspect of many organizations nowadays. Real-time data analytics is essential for the success of a major organization and helps drive… Read More »

Prerequisite: Image Steganography Introduction, Implementation using Python. Steganography is the method of hiding secret data inside any form of digital media. The main idea behind… Read More »

An image histogram is chart representation of the distribution of intensities in an Indexed image or grayscale image. It shows how many times each intensity… Read More »

In machine learning, gradient descent is an optimization technique used for computing the model parameters (coefficients and bias) for algorithms like linear regression, logistic regression,… Read More »

OLAP stands for Online Analytical Processing Server. It is a software technology that allows users to analyze information from multiple database systems at the same… Read More »

Prerequisite: Introduction to word2vec Natural language processing (NLP) is a subfield of computer science and artificial intelligence concerned with the interactions between computers and human… Read More »

Machine Learning, as the name suggests, is the science of programming a computer by which they are able to learn from different kinds of data.… Read More »

Neural networks are artificial systems that were inspired by biological neural networks. These systems learn to perform tasks by being exposed to various datasets and… Read More »

Long Short Term Memory is a kind of recurrent neural network. In RNN output from the last step is fed as input in the current… Read More »