Weekly Machine Learning Research Paper Reading List — #5
Author(s): Durgesh Samariya For this week (31/8/2020–6/9/2020), I am going to read the following 3 research papers. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Deploying ML Models in Production: Model Export & System Architecture
Author(s): Avishek Nag Machine Learning Understanding model export mechanisms, lightweight integration, offline & online model hosting techniques Photo by Markus Spiske on Unsplash We often see many techniques discussed here & there about solving problems with ML. But when it comes to putting …
Improving Data Labeling Efficiency with Auto-Labeling, Uncertainty Estimates, and Active Learning
Author(s): Hyun Kim How can you tell if this labeled image is “useful” for training a model? Read more to find out. | Source: Derivative from creative commons, photo by Frank Köhntop In this post, we will be diving into the machine learning …
Making An AI That Beats Doctors in Heart Failure Prediction
Author(s): Frederik Bussler Building a world-class model… in 3 minutes. ❤️ Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Flask Web Application with Python
Author(s): Sharon Lim Develop a Convolutional Neural Network model and deploy it as a web application using Flask Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Let’s Flip Some Coins, or How Randomness Can Help with Proving Theorems
Author(s): Haris Angelidakis In this post, we introduce the beautiful Probabilistic Method, and how it can be used to prove claims about discrete structures. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Submodularity in Sensor Placement Problems
Author(s): Alexandros Zenonos, PhD Many problems in Artificial Intelligence and in computer science, in general, are hard to solve. What practically this means is that it… Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Backpropagation Math Simplified
Author(s): Aseem Kashyap A gentle yet comprehensive guide to neural network calculus Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Here is How Enterprises Can Implement AI Ethics in 2020
Author(s): David Yakobovitch Best Practices and AI Ethics Principles Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Diversity Recommendation Systems in Machine Learning and AI
Author(s): Allen Jiang Personalization & Discovery that Does Social Good and Increases Customer Lifetime Value Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Be the Outlier — How to Ace Data Science Interviews
Author(s): Saiteja Kura A comprehensive review of the first data science book I read. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Elon Musk Neuralink: connecting your brain to AI
Author(s): Michelangiolo Mazzeschi The outline on the presentation held on the 29–08–2020 Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Kaggling: A Journey of Past Competitions — Part1
Author(s): Rashmi Margani Source: UnsplashHi Rashmi Deep Learning Kaggling: A Journey of Past Competitions — Part1 Techniques learned and Stay tuned with me for more. 1. Jigsaw Multilingual Toxic Comment Classification Competition In Jigsaw competition, Cross-validation, postprocessing, and preprocessing played a lot of importance. Pseudo …
The World-Class Data Scientist
Author(s): S Ahmad Don’t be a good one: be World-Class. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
6 Pandas Operations You Should Not Miss
Author(s): Sujan Shirol Advanced methods and function to crunch some data Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
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