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Machine Learning
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Why neural networks in artificial intelligence?

Philips JordanMarch 17, 202308 mins

Artificial intelligence has come a long way over the years. From the early days of “smart” appliances and digital assistants, we’ve seen AI grow more complex and sophisticated by the day. But what exactly is artificial intelligence, and why are neural networks so important in its development? In this blog post, we will explore these … Read more

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Machine learning
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What is neural network in machine learning?

Hemalatha RaghavanMarch 16, 202309 mins

Neural networks are the brainchild of artificial intelligence (AI). They are a type of machine learning that can be used to make predictions based on data. In other words, they can learn and understand complex patterns in data without being explicitly programmed. This makes them incredibly useful for tasks such as image recognition, speech recognition, … Read more

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Multi-Class Classification
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Multi-Class Classification

Hemalatha RaghavanFebruary 24, 2023March 15, 202308 mins

In machine, learning classification is the method of classifying data into categories using certain input variables. Dataset with labels given (training dataset) is used to train the model in a way that the model can provide labels for datasets that are not yet labelled. Under classification there are 2 types of classifiers: Binary Classification Multi-Class … Read more

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Activation Function
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What is an activation function?

Hemalatha RaghavanFebruary 24, 2023March 15, 202305 mins

Activation functions get their names from being used in neural networks as they decide whether a particular neuron should be activated or not. In the context of this release, the sigmoid function will be discussed in detail as it is used in the logistic regression algorithm for binary classification. Sigmoid Activation function Sigmoid function’s main … Read more

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  • Machine Learning
  • Regression

Logistic Regression from Scratch

Hemalatha RaghavanNovember 8, 2022December 26, 2022011 mins

Lets us try to implement logistic regression from scratch in python. Recommended to be read after the Neural Networks release. Importing necessary libraries import numpy as np # linear algebra import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv) import matplotlib as plt   The dataset we will be using is Pima-Indians-diabetes-database … Read more

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