Evaluating Mode Collapse in GANs Using NDB Score
Author(s): Shashank Kumar Originally published on Towards AI. Below are a few art pieces I generated from a GAN. They aren’t striking at all, but they’re diverse. However, this is not always the case. GAN generated images The next set of images …
How To Make AI Fair And Less Biased
Author(s): Padmaja Kulkarni Originally published on Towards AI. A practical framework to mitigate biases and risks in AI In the wake of Elon Musk firing the whole ‘Ethical AI’ team at Twitter [1], I believe it is more important than ever to …
Data Analysis Project with Pandas — Step-by-Step Guide (Ted Talks Data)
Author(s): Fares Sayah Originally published on Towards AI. Data Analysis Project Guide — Use Pandas power to get valuable information from your data Photo by Lukas Blazek on Unsplash The Pandas library is a powerful tool for multiple phases of the data …
What is GPT-4 (and When?)
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. What is GPT-4? This member-only story is on us. Upgrade to access all of Medium. Comparing GPT-4 to GPT-3 and human brain (source: Lex Fridman @youtube) It has been some time …
World of Classification in Machine Learning
Author(s): Data Science meets Cyber Security Originally published on Towards AI. SUPERVISED MACHINE LEARNING — PART 1 1. CLASSIFICATION: Source: Image by the author. Classification is the act of categorizing something, as the name implies. Putting it more analytically, classification is the …
Set Operations on Python DataFrames
Author(s): Shravankumar Hiregoudar Originally published on Towards AI. We often perform join, union, difference, intersection, etc. operations between python DataFrames. Throughout my data science journey, Understanding the concepts of Set Theory has helped me perform these tasks efficiently. In this article, I …
Binary Classification Using Logistic Regression vs Visualizations
Author(s): Gurami Keretchashvili Originally published on Towards AI. How to visualize a dataset using Seaborn? how to create a machine learning model using logistic regression? Power of good visualization. This member-only story is on us. Upgrade to access all of Medium. In …
Code Reproducibility Crisis in Science And AI
Author(s): Salvatore Raieli Originally published on Towards AI. Saving AI and scientific research requires we share more images generated by the author using OpenAI’s DALL-E 2 Modern science suffers from a reproducibility problem. Typically, the output of a scientific project is to …
Setting Up Data Science Teams For Success
Author(s): Ori Cohen Originally published on Towards AI. By providing data, product & ML engineering functions This member-only story is on us. Upgrade to access all of Medium. Figure 1: The Three Pillars Of Data Science, Dr. Ori Cohen. It seems like …
(Part I) Fostering Criminal Justice with Data Science
Author(s): Vincent Liu Originally published on Towards AI. A Data-driven Analysis of the Uniform Crime Report 2021 DC Arrest Data Source: Official NIBRS Website As a crime researcher, I am always intrigued by the questions of how many crimes were committed in …
Logistic Regression with BigQuery ML in 6 Steps
Author(s): Tirendaz AI Originally published on Towards AI. A step-by-step guide to building a logistic regression model with SQL using BigQuery ML. Image by Freepik Introduction A logistic regression model is a type of statistical model that is used to predict the …
The Gradient Descent Algorithm
Author(s): Towards AI Editorial Team Originally published on Towards AI. Image by Anja from Pixabay The what, why, and hows of the gradient descent algorithm Author(s): Pratik Shukla “The cure for boredom is curiosity. There is no cure for curiosity.” — Dorothy …
Top 5 Machine Learning Industries in 2022
Author(s): Mostafa Ibrahim Originally published on Towards AI. Machine learning is rapidly expanding into a lot of industries and sectors! This member-only story is on us. Upgrade to access all of Medium. Source While artificial intelligence was no more than a theoretical …
Genetic Algorithm Optimization
Author(s): Chinmay Bhalerao Originally published on Towards AI. A detailed explanation of the evolutionary and nature-inspired optimization algorithm Photo by Sangharsh Lohakare on Unsplash “The environment selects those few mutations that enhance survival, resulting in a series of slow transformations of one …
Different Ways To Find Outliers in the Data and How To Remove Them Using Interquartile Statistics
Author(s): Ashbab khan Originally published on Towards AI. Outliers are the data points or observations far from other data points or very different from other data points. Photo by Joshua Sortino on Unsplash Why remove outliers from the data Outliers cause so …
Popular posts
Updates
Recent Posts
