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Category Archives: Machine Learning

Do you want to achieve ‘the-state-of-the-art’ results in your next NLP project? Is your data insufficient for training the machine learning model? Do you want… Read More
In many placement exam rounds, we often encounter a basic question to find word analogies. In the word analogy task, we complete the sentence “a… Read More
Machine learning is a scientific field that offers computers the ability to learn without being programmed directly. When many learners, students, engineers, and data scientists… Read More
Support Vector Machine(SVM) is a supervised machine learning algorithm used for both classification and regression. Though we say regression problems as well its best suited… Read More
The biological neural network has been modeled in the form of Artificial Neural Networks with artificial neurons simulating the function of a biological neuron. The… Read More
What is PCA? The main guiding principle for Principal Component Analysis is FEATURE EXTRACTION i.e. “Features of a data set should be less as well… Read More
Odd One out the problem is one of the most interesting and goto problems when it comes to testing the logical reasoning skills of an… Read More
Motivating Explainable AI The vast field of Artificial Intelligence(AI) has experienced enormous growth in recent years. With newer and more complex models coming each year,… Read More
A Histogram is a variation of a bar chart in which data values are grouped together and put into different classes. This grouping enables you… Read More
Prerequisites: Cluster Validity Index Clustering validation has been recognized as one of the important factors essential to the success of clustering algorithms. How to effectively… Read More
Introduction Machine Learning has improved our lives significantly. Right from the intelligent chatbots to autonomous cars. The main ingredient which improves these models to perform… Read More
The probability plot correlation coefficient (PPCC) is a graphical technique for identifying the shape parameter that best describes the dataset. Most of the statistical analysis… Read More
Gradient Boosting is an ensemble machine learning algorithm and typically used for solving classification and regression problems. It is easy to use and works well… Read More
Nowadays python has become one of the most popular languages as well as favourite programming language among developers. The simplified syntax and pattern of this… Read More
Flattening is a technique that is used to convert multi-dimensional arrays into a 1-D array, it is generally used in Deep Learning while feeding the… Read More