Random Forest is one of the foremost popular and most powerful machine learning algorithms. It’s a kind of ensemble machine learning algorithm called Bootstrap Aggregation or bagging. The bootstrap method for estimating statistical quantities from samples. The Bootstrap Aggregation algorithm ...

The latest technological advancements in Data Sciences and Machine Learning have helped transform the way we live and interact with our surroundings. We are constantly generating exponential amounts of data at a very fast pace, which the big tech companies ...

AI-based filtering, face changing and photo editing software has taken the internet by storm. People today spend endless hours trying to find the perfect filters to beautify their photos, try quirky animal or rockstar filters or just trying to anticipate ...

AdaBoost is a short form for “Adaptive Boosting” which is the first practical boosting algorithm proposed by Freund and Schapire in 1996. It focuses on classification problems and aims to convert a group of weak classifiers into a robust one. The ...

Chess is a strategy game played by two players on a board which is very popular worldwide. It has 64 squares arranged in an 8×8 square grid with the concept of winning the space by two kings with his whole ...

Clustering or cluster analysis is an unsupervised learning problem. It is often used as a knowledge analysis technique for locating interesting patterns in data, like groups of consumers supported their behaviour. There are many clustering algorithms to settle on from ...

Deep Learning is nowadays on the boom because of the frameworks like Tensorflow and Keras. It has become easy to make Machine Learning model without actually knowing the working beneath it. Making a machine learning model using basic libraries is ...

Math helps in understanding logical reasoning and attention to detail. It enhances your abilities to think under pressure and increase your mental endurance. Mathematical concepts give the real solution of hypothetical or virtual problems. It is about structure, developing principles ...

Chicken and egg problems are major headaches for several entrepreneurs. Many machine learning (ML) problems affect an identical dilemma. If we all know A, we will determine B. Or, if we all know B, we will determine A. Either way ...

Support Vector Machines are machine learning model used for classification and regression analysis. SVM is basically the representation of examples as the points in a graph such that representation of separate category is divided by a wide gap that gap ...