Understanding Multi-Label classification model and accuracy metrics
Author(s): Avishek Nag Originally published on Towards AI. The theory behind the multi-label/multi-tagging model, different umbrella classification schemes and accuracy metric analysis Classification techniques probably are the most fundamental in Machine Learning. The majority of all online ML/AI courses and curriculums start …
Multi-Label Text Classification Using Scikit-multilearn: a Case Study with StackOverflow Questions
Author(s): Avishek Nag Originally published on Towards AI. Designing a multi-label text classification model which helps to tag stackoverflow.com questions with different topics Everyday users of stackoverflow.com posts many technical questions and all those get tagged with different topics. In this article, …
HAC: Learning Multi-Level Hierarchies with Hindsight
Author(s): Sherwin Chen Originally published on Towards AI. Hindsight experience replay for multi-level hierarchies the 4-level HAC agent on the inverted pendulum We discuss a novel Hierarchical Reinforcement Learning(HRL) framework that can efficiently learn multiple levels of policies in parallel. Experiments shows, …
Demystifying the Architecture of Long Short Term Memory (LSTM) Networks
Author(s): Manish Nayak Originally published on Towards AI. Architecture of LSTMs U+007C Towards AI Introduction In my previous article, I explain RNNs’ Architecture. RNNs are not perfect and they mainly suffer from two major issues exploding gradients and vanishing gradients. Exploding gradients …
Build TensorFlow Lite Model with Firebase AutoML Vision Edge
Author(s): Mirek Stanek Originally published on Towards AI. Train first image classification model with Firebase ML Kit This post was originally published at thinkmobile.dev — a blog about implementing intelligent solutions in mobile apps (link to article). For more than a year …
How to Use scikit-learn ‘eli5’ Library to Compute Permutation Importance?
Author(s): Abhinav Prakash Originally published on Towards AI. Feature Permutation Importance with ‘eli5’ U+007C Towards AI Understanding the workings of scikit-learn’s ‘eli5’ library to compute feature importance on a sample housing dataset and interpreting its results cc: Forbes Most of the Data …
Stop in the Name of AI!
Author(s): Alex Moltzau Originally published on Towards AI. Photo by Jacob Morch A Quick Look into the 2019 AI UN report U+007C Towards AI A Quick Look at the UN Report on Artificial Intelligence and Robotics for Law Enforcement Whenever I mention …
The ABCs of PyTorch in 4 Minutes
Author(s): Rohit Sharma Originally published on Towards AI. PyTorch 101 U+007C Towards AI Introducing the basics of PyTorch in four minutes, with sample code © AITS (www.ai-techsystems.com) This article helps newbies to get started with python PyTorch in 2 minutes with code …
Big Data, IoT and AI, Part One: Three Sides of the Same Coin
Author(s): Charles Towers-Clark Originally published on Towards AI. Big Data, AI and IoT are all parts of the same system — and nothing will improve unless we think of them holistically U+007C YUKOKUSAMURAI, SHUTTERSTOCK Since computers were first invented people have been …
Big Data, AI & IoT Part Two: Driving Industry 4.0 One Step At A Time
Author(s): Charles Towers-Clark Originally published on Towards AI. Factories, refineries, utilities and all manner of industrial environments will benefit from AI, Big Data, and IoT, but what will it take to get there? UNSPLASH What comes to mind when you think of …
Using Data to Enhance Cyclone Disaster Preparedness
Author(s): Sreelatha S Originally published on Towards AI. What we intend to do with this project is… The proposal aims to create a data science project that does an exploratory analysis of the data published by the government of India on historic …
Tutorial on Barplots using R’s ggplot Package
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Using R’s “ggplot” package for barplots of three different datasets This tutorial will discuss how bar plots can be generated using R’s ggplot package using 3 examples. Another tutorial on data visualization …
Big Data, AI & IoT, Part Three: What’s Stopping Us?
Author(s): Charles Towers-Clark Originally published on Towards AI. The progress of AI, Big Data and IoT has been well-documented, but there are still major hurdles to cross before they achieve their full potential. JOHN CAMERON, UNSPLASH This series of articles have looked …
MINE: Mutual Information Neural Estimation
Author(s): Sherwin Chen Originally published on Towards AI. Estimating mutual information using arbitrary neural networks through MINE Source: istock.com/ipopba Mutual information, also known as information gain, has been successfully used in the context of deep learning(which we will see soon) and deep …
Photography + Imaging — the Good, the Bad and the…Oh Dear!
Author(s): Ted Tuescher Originally published on Towards AI. Photo by Verne Ho from Burst. The Technical Revolution of Photography U+007C Towards AI Part one of this three-part series reviewed the 190-year history of photography and it’s technical evolution thru early digital transformation. …
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