Stocks Market Beta with Rolling Regression
Author(s): George Pipis Example of getting the Market Beta Coefficients of stocks by running rolling regression in Python Continue reading on Towards AI » Published via Towards AI …
Can Auditable AI Improve Fairness in Models?
Author(s): Tobi Olabode Fairness, Opinion Photo by Kelly Sikkema on Unsplash Not unique but very useful I was reading an article on Wired about the need for auditable AI. Which would be third party software evaluating bias in AI systems. While it sounded like …
Inferential Statistics for Data Science
Author(s): Indhumathy Chelliah Basics of Probability, Probability Distributions Continue reading on Towards AI » Published via Towards AI …
Image Processing using Spatial Filters
Author(s): Ralph Caubalejo Computer Vision, Programming Giving Space… One of the wonders of image processing is being able to see the pixel values of each image and perform different mathematical operations on it. Since the image is already an array or a matrix, …
Regression and Classification Metrics in Machine learning with Python
Author(s): Amit Chauhan Model evaluation with metric API for regression and classification Continue reading on Towards AI » Published via Towards AI …
Future of Work in Healthcare
Author(s): Sandro Luck (DGuyAI) How AI, Big Data, Data Science, and Machine Learning improve Medicine Continue reading on Towards AI » Published via Towards AI …
Genetic Algorithm — Stop Overfitting Trading Strategies
Author(s): Louis Chan How can the Coefficient of Variation make Genetic Algorithms more robust? Continue reading on Towards AI » Published via Towards AI …
Image Processing using Morphological Operations
Author(s): Ralph Caubalejo Computer Vision, Programming Morphing Time! (Image by Author) One of the most essential image processing techniques out there is the so-called morphological operation. As the name suggests, we use morphological operation in cleaning and correcting out the images. Normally, morphological …
AI Can Bring Fairness to Assessments but Are We Ready for It?
Author(s): Okan Bulut Last September, I came across an article on The Verge that talks about how a group of seventh-grade students figured out an easy way to… Continue reading on Towards AI » Published via Towards AI …
How I Accidentally Hacked a Government App By Recognizing a Silly Pattern
Author(s): Nishu Jain Some things are meant to be Hacked … Continue reading on Towards AI » Published via Towards AI …
Writing Efficient Input Pipelines Using TensorFlow’s Data API
Author(s): Jonathan Quijas Machine Learning A Brief Primer on Dataset Processing for Machine Learning Engineering at Scale Photo by Claudio Testa on Unsplash This post is heavily inspired by an exercise of chapter 12 in Hands-On Machine Learning with Scikit-Learn, Keras & Tensorflow. I …
Pytorch Tutorial for Beginners
Author(s): Eugenia Anello Pytorch is a Deep Learning framework developed by Facebook’s AI Research Lab in 2016. It’s widely famous for computer vision oriented… Continue reading on Towards AI » Published via Towards AI …
Generate Machine Learning Code in Few Clicks Using Machine Learning Code Generator
Author(s): Durgesh Samariya MLGenerator is a simple web app built using Streamlit and deployed on Heroku to generate machine learning code for different tasks such as… Continue reading on Towards AI » Published via Towards AI …
Like Data Science But Not Statistics? Take This Free Online Course.
Author(s): Frederik Bussler From the pioneers of data science. Continue reading on Towards AI » Published via Towards AI …
What’s in the Controversial Article That Forced Timnit Gebru Out of Google?
Author(s): Zoheb Abai Opinion What’s in the Controversial Article that Forced Timnit Gebru Out of Google? On the Dangers of Stochastic Parrots — Summarized First Authors: Emily M. Bender (Left), Timnit Gebru (Right) In short — Authors have raised global awareness on recent NLP trends and have urged …
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