Top 3 Books a New Data Scientist Should Read
Author(s): Alexandros Zenonos, PhD Data science books everyone should have on their shelves Continue reading on Towards AI » Published via Towards AI …
Image Similarity With Deep Learning Explained
Author(s): Romain Futrzynski Deep Learning Recently I gave a Meetup talk where I discussed two of my favorite topics: neural networks and images. Since my company is launching a feature for image similarity, I thought I would sum up some ideas from …
You Can Now Take A Python Course From the US Government
Author(s): Frederik Bussler There are practically infinite resources to learn Python, from Coursera courses to YouTube tutorial to browsing through GitHub… Continue reading on Towards AI » Published via Towards AI …
Embedded COVID mask detection on an Arm Cortex-M7 processor using PyTorch
Author(s): Igor Susmelj How we built a visual COVID-19 mask quality inspection prototype running on-device on an OpenMV-H7 board and the challenges on the way. Continue reading on Towards AI » Published via Towards AI …
Evolutionary Approach
Author(s): Saman Siadati Reasonable algorithms for finding the fittest Continue reading on Towards AI » Published via Towards AI …
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 …
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