Best Machine Learning (ML) Books — Free and Paid — Editorial Recommendations for 2022
Author(s): Towards AI Editorial Team Originally published on Towards AI. AI Community ↓ Towards AI Source: Derivative from original, Photo by Patrick Robert Doyle on Unsplash Last updated January 1, 2022 Join our AI community with thousands of data leaders. Support us, …
#1. It’s slow.
Author(s): Frederik Bussler Originally published on Towards AI. And what is? “Jeremy Howard -Strategic Shifts in IT, World Economic Forum 2014” by WEF licensed under CC BY-NC-SA 2.0 Jeremy Howard, AI expert and former President of Kaggle — the world’s largest data …
Data Science Evaluation Metrics — Unravel Algorithms for Classification [Part 1]
Author(s): Maximilian Stäbler Originally published on Towards AI. Photo by Luke Chesser on Unsplash Data Science, Machine Learning Lessons learned about evaluation metrics for classification tasks. If you do not know how to ask the right question, you discover nothing.– W. Edwards …
A Gentle Introduction To Genetic Algorithms
Author(s): Dasaradh S K Originally published on Towards AI. Programming Source Genetic Algorithms are based on Charles Darwin’s theory of natural selection and are often used to solve problems in research and machine learning. In this article, we’ll be looking at the …
Efficient Biomedical Segmentation When Only a Few Label Images Are Available @MICCAI2020
Author(s): Makoto TAKAMATSU Originally published on Towards AI. Computer Vision A Proposal for State-of-the-Art Unsupervised Segmentation Using Contrastive Learning MICCAI 2020 Photo by National Cancer Institute on Unsplash In this story, Label-Efficient Multi-Task Segmentation using Contrastive Learning, by the University of Tokyo …
Let’s See How a Computer Sees…
Author(s): Pratik Originally published on Towards AI. Deep Learning, Programming Photo by Robina Weermeijer on Unsplash In humans, there are multiple stages to understand visual information, and the computer also follows this process. Let’s now try to zoom in a bit on …
Data Science for Everyone: Getting To Know Your Data — Part 1
Author(s): Sumudu Tennakoon Originally published on Towards AI. Data Science, Education The first article of “Data Science for Everyone”: an article series aimed at addressing data literacy in the community. Figure 1: Data and Science: the blend made possible all the science …
8 Ways to Harness Google Bard’s Awesome Visual Capabilities
Author(s): Ana Bildea Originally published on Towards AI. Practical examples of how to effectively leverage Bard image by the author Google Bard, an AI-driven chatbot crafted by Google AI, has recently expanded its reach to Europe. The latest update brings cool features …
Crack Detection in Concrete
Author(s): Chittal Patel Originally published on Towards AI. Photo by Maud CORREA on Unsplash Computer Vision Using Computer Vision Introduction Crack detection is crucial in monitoring the health of infrastructural buildings. As seasons change and the level of moisture remains inconsistent across …
From Bits to Biology #1: Using LCS Algorithm for Global Sequence Alignment in Computational Biology
Author(s): Suyang Li Originally published on Towards AI. A step-by-step analysis of the Longest Common Subsequence problem and the Sequence Alignment problem with an explanation of their solutions highlighting their similarities and differences Photo by Sangharsh Lohakare on Unsplash Introduction Welcome! You’ve …
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