Simple Linear Regression Using TensorFlow and Keras
In this tutorial, we will introduce how to train and evaluate a Linear Regression model using TensorFlow. Linear Regression is of …
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Methods
Why Deep Learning is Usually The Number 1 Trusted Choice?
Nowadays, Deep Learning is everywhere. Instead of traditional Machine Learning, many more stakeholders prefer Deep Learning not just because it …
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Fascinating Neural Networks: An Ultra Short Introduction
You hear the neural network buzzword a lot if you were searching in the Machine Learning area. Neural networks are …
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PyTorch – A Savior Deep Learning Framework
In this article, I am going to discuss why PyTorch is the best Deep Learning framework. It’s extremely easy to …
Nearest Neighbor Classifier – A Working Example
In this post, we present a working example of the k-nearest neighbor classifier. Previously we covered the theory behind this …
A Meticulous Introduction to Supervised Learning in a Simple Way
In this article, we focus on the notion of supervised learning and its associated categories. In addition, we describe the …
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Effortless Logistic Regression Using TensorFlow
In this tutorial, we described logistic regression and represented how to implement it in code. Instead of making a decision …
Nearest Neighbor Classifier – From Theory to Practice
The K-nearest neighbors (KNNs) classifier or simply Nearest Neighbor Classifier is a kind of supervised machine learning algorithm that operates …
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