Association Discovery — the Apriori Algorithm
Author(s): Dhilip Subramanian Originally published on Towards AI. Top highlight Market Basket Analysis in Data Science U+007C Towards AI Association discovery is commonly called Market Basket Analysis (MBA). MBA is widely used by grocery stores, banks, and telecommunications among others. Its results …
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 …
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 …
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 …
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