TAG machine learning
Machine Learning Metrics
Selecting the right metric for a specific model, is the key to be able to measure the performance of the model objectively and in the right setting.In this post, we explore the […]
Clustering in Machine Learning
Machine Learning is the modern technology to allow applications to model and predict the outcomes of a problem. It uses advanced artificial intelligence algorithms, techniques and works on their bases to create […]
Concepts of Data Science
Unsupervised Learning In unsupervised learning, we are dealing with unlabeled data or data of unknown structure. Using unsupervised learning techniques, we are able to explore the structure of our data to extract […]
Principal Component Analysis
In machine learning, you have high dimensionality datasets that have a large number of features. High dimensionality datasets pose a number of problems — the most common being overfitting, which reduces the […]
Data Normalization in Machine Learning
In the context of machine learning, data normalization is an essential process for ensuring a more accurate prediction. It helps organizations make the best use of their datasets by consolidating and querying […]
Machine Learning Model Optimization
Machine learning (ML) is the process of using an algorithm to learn from data and generalize it in order to make predictions about future data. When fitting a machine learning algorithm, we […]
Regularization in Machine Learning
Regularization Regularization is one of the most important concepts of machine learning. It is a technique to prevent the model from overfitting by adding extra information to it. Sometimes the machine learning […]
Density-Based Clustering
Clustering Cluster analysis, or clustering, is an unsupervised machine learning task. It involves automatically discovering natural grouping in data. Unlike supervised learning, clustering algorithms only interpret the input data and find natural […]
Logistic Regression
What is Logistic Regression? It is a data analysis technique that uses mathematics to find the relationships between two data factors. It then uses this relationship to predict the value of one […]
Type of Distribution Statistics
What is distribution in statistics? Distribution in statistics is a function that represents the possible values for a variable and how frequently they happen. Let’s take an example of a dice. It has […]
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