decision boundry
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Understanding Un-Supervised Learning: Working Principles, Mathematical Foundations, and Algorithm Categories
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5 minutes•
Un-Supervised learning is a type of machine learning that uses un-labeled data sets and produces output that is just based on perceptions. Unlike supervised learning, un-supervised learning is more complex and… read more
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Logistic Regression: A Powerful Tool for Classification
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5 minutes•
Logistic regression is a statistical method used for classification under supervised learning where a continuous input is provided, and it gives a binary outcome. This means that it gives one of… read more
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Regression in Machine Learning: Predicting Continuous Values
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6 minutes•
Regression is a type of supervised learning where the algorithm predicts a continuous value. Since it comes under supervised learning, a labelled dataset is already provided for the model to train… read more
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Classification in Machine Learning: Concepts and Applications
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5 minutes•
In supervised machine learning, training data is labeled meaning every input value corresponds to an output value. Classification is the type of supervised learning where data is categorized into two or… read more
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Neural Networks: How They Work and Why They Matter
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6 minutes•
In Hervé Abdi’s et al. (1999) book on Neural networks, he defined them as Neural networks are adaptive statistical methods based on the analogy with the structure of the brain. Neural… read more
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Perceptron & Backpropagation: A Deep Dive into Supervised Learning
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6 minutes•
To start, let’s rewind a little back into machine learning. Machine learning is the branch of Artificial Intelligence that deals with teaching a machine how to give the appropriate response to… read more
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Reinforcement Learning: What is it?
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4 minutes•
One of the humans’ most efficient learning procedures involves learning from mistakes. This way, we can focus more on the topics that we made mistakes in to deepen our understanding and… read more
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Semi-Supervised Learning: What is it?
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4 minutes•
Semi-supervised learning is the middle ground between supervised and un-supervised machine learning. For context, supervised machine learning requires labeled datasets for predicting output and un-supervised machine learning works with un-labeled datasets.… read more
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A Dive into Un-Supervised Machine Learning Algorithms
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Reading Time:
5 minutes•
When we are presented with un-labeled data, un-supervised learning is used to extract underlying patterns from it and no supervision or intervention from humans is done. Un-supervised machine learning works with… read more
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Understanding Unsupervised Learning: Use Cases and Types
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Reading Time:
4 minutes•
What we search for every day, what we interact with on social media, what we purchase from online stores, our search history generates a big amount of data on a daily… read more