What is Mean Average Precision? Mean Average Precision (MAP) is a widely used evaluation metric in information retrieval, search engines, recommendation systems, and object detection tasks. It...
![Mean Average Precision Made Simple [Complete Guide]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2023/09/mean-average-precision-ranking.jpg?fit=960%2C540&ssl=1)
The Natural Language Processing (NLP) Blog
Topic: Tutorial
Practical Guide To Doc2Vec & How To Tutorial In Python
In today's data-driven world, making sense of vast volumes of text data is paramount. Natural Language Processing (NLP) techniques are at the forefront of unlocking the insights hidden within text,...
Practical Guide And Tutorial To Label Encoding In Python
What is label encoding machine learning? Label encoding is a technique used in machine learning and data preprocessing to convert categorical data (data that consists of categories or labels) into...
Top 7 Feature Selection Techniques In ML & How To Guides In Python (sklearn)
What is feature selection in machine learning? Feature selection is a crucial step in machine learning that involves choosing a subset of relevant features (variables or attributes) from the...
Random Forest Classifier – How To Python Tutorial & Practical Guide
What is a Random Forest classifier? A Random Forest classifier is a machine learning algorithm that falls under ensemble learning. It's used for both classification and regression tasks. The "Random...
What Are Gaussian Mixture Models (GMMs)? & How To Python Tutorial With Scikit-Learn
What are Gaussian Mixture Models (GMMs)? Gaussian Mixture Models (GMM) are probabilistic models representing a probability distribution as a mixture of multiple Gaussian (normal) distributions. It...
DBSCAN Made Simple & How To Python Tutorial With Scikit-Learn
What is DBSCAN? DBSCAN stands for "Density-Based Spatial Clustering of Applications with Noise." It is a popular clustering algorithm used in machine learning and data mining to group data points...
Latent Semantic Analysis: A Complete Guide With Alternatives & Python Tutorial
What is Latent Semantic Analysis (LSA)? Latent Semantic Analysis (LSA) is used in natural language processing and information retrieval to analyze word relationships in a large text corpus. It is a...
Dimensionality Reduction Explained, Top 5 Techniques & How To Tutorial In Python
What is dimensionality reduction in machine learning? Dimensionality reduction is a technique used in machine learning and data analysis to reduce the number of features or variables in a dataset...
One-shot Learning Explained, How It Works & How To Tutorial In Python
What is one-shot learning? One-shot learning is a machine learning paradigm that trains models to recognize new objects or patterns based on a single example or a minimal number of examples....
KMeans Explained, Practical Guide To Data Clustering & How To In Python
What is KMeans? KMeans is a popular clustering algorithm used in machine learning and data analysis. It's used to partition a dataset into distinct, non-overlapping clusters. The goal of KMeans is...
K-Nearest Neighbours Explained, Practical Guide & How To Tutorial In Python
What is K-nearest neighbours? K-Nearest Neighbours (KNN) is a simple and widely used classification and regression algorithm in machine learning. It falls under the category of supervised learning...
AdaBoost: Practical Introduction With How To Python Tutorial For Classification & Regression
What is AdaBoost? AdaBoost, short for Adaptive Boosting, is a machine learning algorithm that belongs to the ensemble learning techniques. Ensemble learning involves combining the predictions of...
Gradient Boosting Explained & How To Tutorials In Python With XGBoost
What is gradient boosting? Gradient Boosting is a powerful machine learning technique for classification and regression tasks. It's an ensemble learning method that combines the predictive abilities...
![Practical Guide To Grid Search [How To In Python For SVM & Logistic Regression]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2023/08/grid-search.jpg?fit=960%2C540&ssl=1)
Practical Guide To Grid Search [How To In Python For SVM & Logistic Regression]
What is grid search? Grid search is a hyperparameter tuning technique commonly used in machine learning to find a given model's best combination of hyperparameters. Hyperparameters are parameters...
Softmax Regression Explained And How To Tutorial In Python & PyTorch
What is softmax regression? Softmax regression, or multinomial logistic regression or maximum entropy classifier, is a machine learning technique used for classification problems where the goal is...
![Multi-class Classification Explained With 3 How To Python Tutorials [Scikit-Learn, PyTorch & Keras]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2023/08/multi-class-classification.jpg?fit=1200%2C675&ssl=1)
Multi-class Classification Explained With 3 How To Python Tutorials [Scikit-Learn, PyTorch & Keras]
What is multi-class classification in machine learning? Multi-class classification is a machine learning task that aims to assign input data points to one of several predefined classes or...
![Deep Dive into Active Learning in Machine Learning [How To In Python & PyTorch]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2023/08/active-learning-try-fail.jpg?fit=1200%2C675&ssl=1)
Deep Dive into Active Learning in Machine Learning [How To In Python & PyTorch]
What is active learning in machine learning? Active learning is a machine learning technique that involves iteratively selecting and labelling the most informative examples from an unlabeled dataset...
