Face Data Augmentation. Part 1: Geometric Transformation
Author(s): Ainur Gainetdinov Originally published on Towards AI. The performance of deep neural nets made a big step forward in the last two decades. Every year new architectures are devised that beat state-of-the-art results. However, only improving architectures won’t work without a …
ELI5: Expectation Maximization Clustering
Author(s): Anmol Tomar Originally published on Towards AI. The Clustering technique every Data Scientist Should Know Image Credit: Unsplash Imagine you know 100 people and you score them(1–10) based on their personality traits such as funny, interactive, smart, hard-working, etc. Now, you …
15 Steps to Getting Started with Pandas — Complete Beginner’s Guide
Author(s): Fares Sayah Originally published on Towards AI. Essential Pandas functions for working with data — Read, Write and Manipulate Data Photo by Kari Shea on Unsplash Pandas is a fast, powerful, flexible, and easy-to-use open-source data analysis and manipulation tool, built …
What Do Data Scientists Truly Want?
Author(s): Deepak Chopra | Talking Data Science Originally published on Towards AI. Listing down a few aspects, based on first, second/third-hand experiences, which data scientists yearn for in their organizations. Photo by Christian Lue on Unsplash Its no secret that attrition in …
Facebook/Meta’s Galactica NLP Shuts Down in 48 Hrs!
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. OpenAI is Adding Watermark to GPT: No More Plagiarizing Source: Galactica.org Following is the abstract for the paper on Galactica. Galactica is the NLP model, which was supposed to be a …
Top Python Packages for Studying Reinforcement Learning
Author(s): Cornellius Yudha Wijaya Originally published on Towards AI. Learn the reinforcement learning hands-on with these packages Photo by Tinky Delta on Unsplash Reinforcement Learning is a machine learning study field with concerns about optimal decision-making. By learning from the environment, Reinforcement …
Machine Learning for Dummies: Deploy all the Things 🚀🚀
Author(s): Data 4 Everyone! Originally published on Towards AI. How do Data Scientists Deploy and Monitor Their Apps? In this series of articles, I'll help you understand what Machine Learning is by looking at an actual project! If you have a cat, …
Create a Boolean Image Classifier Fast With Any Data Set, With a Brief Explanation of the Convolutional Neural Network (CNN) With Code
Author(s): Nafiu Originally published on Towards AI. Photo by ray rui on Unsplash Hi everyone, in this post, we are going to look at a type of neural network called the Convolutional Neural Network. Here we will learn how it works in …
The Upcoming A.I. Act and How It Will Impact You
Author(s): Taimur Ijlal Originally published on Towards AI. The upcoming act will do for A.I. what GDPR did for privacy In my previous posts, I have talked about how A.I. risks do not exist in a vacuum and why it is so …
How To Build Your Own K-Means Algorithm Implementation in Python From Scratch With K-Means++ Initialization
Author(s): Alex Belengeanu Originally published on Towards AI. What’s a better method to deepen your knowledge about algorithm principles than implementing it from 0 by yourself? Photo by Mel Poole on Unsplash What is K-Means? K-Means is an unsupervised machine learning technique …
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