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
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
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
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
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
