This Week in AI #001 — September 2021
Author(s): Maxime Godfroid Originally published on Towards AI. AI to fight Climate Change, Walmart’s autonomous food delivery service, machines that unlearn, the chilling AI-assisted sniper kill, AI’s role in Alzheimer research, Roomba’s new skills in avoiding dog poop, and more! This member-only …
Microsoft’s New Ideas About Generative Models
Author(s): Jesus Rodriguez Originally published on Towards AI. Optimus, FQ-GAN, and Prevalent bring new ideas to apply generative models at a large scale. This member-only story is on us. Upgrade to access all of Medium. Source: https://learnopencv.com/generative-and-discriminative-models/ I recently started an AI-focused …
Chi-Square Test Examples with R
Author(s): Amit Chauhan Originally published on Towards AI. Analysis of variables association and distribution This member-only story is on us. Upgrade to access all of Medium. Image Source Introduction When we talk of chi-square tests, basically we study two types: Chi-square for …
The Outlier Story — Leverage and Influential Point in Linear Regression
Author(s): Supriya Ghosh Originally published on Towards AI. Data Science Image by Will Myers on unsplash For understanding any Outliers and Unusual Observations in linear regression, it is important to understand a formal and basic definition of Linear regression. “Linear regression is …
Introduction to MLOps for Data Science
Author(s): Amit Chauhan Originally published on Towards AI. A part of continuous integration, continuous development, and continuous testing This member-only story is on us. Upgrade to access all of Medium. Image Source What is MLOps? If we break down the word itself, …
Feature Selection and Removing in Machine Learning
Author(s): Amit Chauhan Originally published on Towards AI. Improving model and its accuracy for high dimension data This member-only story is on us. Upgrade to access all of Medium. Photo by Franki Chamaki on Unsplash As we know the importance of features …
2: Monitoring ML-OPS Guide Series
Author(s): Rashmi Margani Originally published on Towards AI. Machine Learning Concept Drift, Data Drift & Monitoring Fig: https://martinfowler.com/ ML System life cycle The most exciting moment of any machine learning system is when you get to deploy your model, but deploying becomes …
3 Key Things to Land a Graduate Data Scientist Job
Author(s): Egor Howell Originally published on Towards AI. The main three things that got me my graduate Data Science job. This member-only story is on us. Upgrade to access all of Medium. Photo by Cytonn Photography on Unsplash I am just about …
Recommended Articles
Author(s): Amit Chauhan Originally published on Towards AI. Exploratory data analysis with visualization libraries This member-only story is on us. Upgrade to access all of Medium. Photo by Firmbee.com on Unsplash Data visualization is a very important aspect of exploratory data analysis. …
Image Classifier — Zalando Clothing Store using Monk Library
Author(s): Vidya Originally published on Towards AI. Computer Vision This tutorial is about image classification on the Zalando Clothing Store dataset using Monk Library. In this dataset, there are high-res, color, and diverse images of clothing and models. Tutorial available on GitHub. …
Dealing with Class Imbalance — Dummy Classifiers
Author(s): Abhijeet Sahoo Originally published on Towards AI. Image credit: https://datascience.aero/ Let me paint a picture for you, you are a beginner to the field of Data Science and have started making your first ML model for predictions and found the accuracy …
The Limits of Deep Learning
Author(s): Frederik Bussler Originally published on Towards AI. Deep Learning: Diminishing Returns? – Semiwiki Photo by Luca Ambrosi on Unsplash GPT-3, the latest state-of-the-art in Deep Learning, achieved incredible results in a range of language tasks without additional training. The main difference …
What is the practical impact?
Author(s): Francisco Utrera Originally published on Towards AI. We discovered a novel way to use adversarially-trained deep neural networks (DNNs) in the context of transfer learning to quickly achieve higher accuracy on image classification tasks — even when limited training data is …
Implement a Neural Network from Scratch with NumPy
Author(s): Dorian Lazar Originally published on Towards AI. Background image source: Wikimedia Commons I think that the best way to really understand how a neural network works is to implement one from scratch. That is exactly what I going to do through …
COVID-19 Lockdown Impact Analysis
Author(s): Saiteja Kura Originally published on Towards AI. Analyze how the COVID-19 lockdown has effected daily movement using Google’s Community Mobility data. Photo by Falaq Lazuardi on Unsplash LOCKDOWN! I never heard of this word until March 2020. I was startled by …
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