Over The Rainbow
Author(s): Abby Seneor Originally published on Towards AI. Artificial Intelligence, Fairness People expected AI to be unbiased; that’s just wrong. If the underlying data reflects stereotypes, you will find these things.This is a story about Equality, Equity, Justice and the dark side …
Tackling the Time Series Take-home Assignment: A Case Study in Python
Author(s): Varshita Sher Improving Customer Support with Call Centre Analytics Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Logistic Regression with Mathematics
Author(s): Gul Ershad Machine Learning, Mathematics Introduction Logistic Regression is an omnipresent and extensively used algorithm for classification. It is a classification model, very easy to use and its performance is superlative in linearly separable class. This is based on the probability …
Understanding the Universal Approximation Theorem
Author(s): Shiva Sankeerth Reddy Photo by Jeremy Thomas on Unsplash Let us take some time to understand the importance of Neural Networks Neural networks are one of the most beautiful programming paradigms ever invented. In the conventional approach to programming, we tell the computer …
Main Types of Neural Networks and its Applications — Tutorial
A tutorial on the main types of neural networks and their applications to real-world challenges. Author(s): Pratik Shukla, Roberto Iriondo Last updated March 17, 2022 Figure 1: Main types of neural networks, designed with app.diagrams.net, diagram is a derivative from Creative Commons …
15 Top Questions To Ask App Developers Before Hiring Them
Author(s): Kristy Hill Programming, Software Engineering Mobile applications are taking over the entire world. In today’s time, mobile customers have started depending on applications to get familiar with items, and even will fork out cash to purchase applications. With technology accelerating and …
Logistic Regression from Scratch with Only Python Code
Author(s): Pushkara Sharma Originally published on Towards AI. Machine Learning Applying Logistic regression to a multi-feature dataset using only Python. Step-by-step implementation coding samples in Python Logistic Regression from Scratch In this article, we will build a logistic regression model for classifying …
An Insider’s guide to Cartoonization using Machine Learning
Author(s): Daksh Trehan Deep Learning, Computer Vision Implementing white-box models to “cartoonize” real high-quality images. Cartoonization is itself a classic art but, the evolution in the field of Machine Learning is covering almost every realm. Today, in this article we are going to …
Exploratory Data Analysis (EDA) using Pyspark
Author(s): Vivek Chaudhary Originally published on Towards AI. Data Analytics, Python The objective of this article is to perform analysis on the dataset and answer some questions to get the insight of data. We will learn how to connect to Oracle DB …
Why Choose Random Forest and Not Decision Trees
Last Updated on November 17, 2020 by Editorial Team Author(s): Daksh Trehan A concise guide to Decision Trees and Random Forest. Decision trees belong to the family of the supervised classification algorithm. They perform quite well on classification problems, the decisional path is …
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