Outlier Detection (Part 2): Multivariate
Author(s): Mishtert T Originally published on Towards AI. Analyze even better — For Better Informed Decision Mahalanobis distance U+007C Robust estimates (MCD): Example in R Original Image Seen Here In Part 1 (outlier detection: univariate), we learned how to use robust methods …
Outlier Detection (Part 1): Univariate
Author(s): Mishtert T Originally published on Towards AI. Analyze even better — For Better Informed Decision Robust Statistics: Example in R Making a Point A popular tool for outlier detection is Calculate z-score for each observation. Flag observation as an outlier if …
The Data Science Behind Netflix
Author(s): Divy Shah Originally published on Towards AI. Top highlight “Netflix is not only a successful Service but it is completely a Data-Driven Service.” Netflix in numbers Last year Netflix announced that it signed on 135 million Paid customers worldwide. Netflix’s US …
How to Join the AI for Good Movement
Author(s): Tadeusz Bara-Slupski Originally published on Towards AI. During the last three months of building our AI for Good initiative at Appsilon Data Science, we have learned and observed a lot about what appears to be a nascent, global movement. In this …
A Lite BERT for Reducing Inference Time
Author(s): Edward Ma Originally published on Towards AI. BERT Photo by Ksenia Makagonova on Unsplash BERT (Devlin et al., 2018) achieved lots of state-of-the-art results in 2018. However, it is not easy to use BERT (Devlin et al., 2018) in production even …
Taking the Intelligence out of AI
Author(s): Dr. Adam Hart Originally published on Towards AI. When we look at clouds or other ambiguous media and sometimes see images that form out from the clouds, this effect, known as pareidolia is at work. This is the brain's effort to …
Keras for Multi-label Text Classification
Author(s): Aman Sawarn Originally published on Towards AI. https://pixabay.com/photos/wintry-dawn-secret-light-trees-4532412/ Machine Learning CNNs and LSTMs architectures for Multi-Label Text Classification using Keras Multi-label classification can become tricky, and to make it work using pre-built libraries in Keras becomes even more tricky. This blog …
Identify Claims, Check or Accounting Fraud: One Simple Check
Author(s): Mishtert T Originally published on Towards AI. Fraud Detection U+007C Implementation Example in R Quick Way to Identify, Filter & Test Assumption of Fraud Photo by Marvin Ronsdorf on Unsplash Law of Anomalous Numbers (Benford’s Law) If you are reading a …
Transformation of the Insurance Industry by AI
Author(s): Rosie Harman Originally published on Towards AI. How is Artificial Intelligence Serving the Insurance Industry Artificial Intelligence is probably a term so widely used these days that almost everyone is familiar with the concept, if not an expert on what it …
Justice For The Intelligent By The Artificially Intelligent
Author(s): Lubna Yusuf Originally published on Towards AI. A New Beginning Of An End LegalTech and Open Law Open Internet and digital boom will soon lead the way to technology solving legal problems. With a growing pace of quick virtual solutions and …
Credit Card Fraud Detection in R: Best AUC Score 99.2%
Author(s): Mishtert T Originally published on Towards AI. Fraud U+007C Anomaly Detection Light GBM Model & Synthetic data points in an imbalanced dataset What’s Light GBM Light GBM is a high-performance gradient boosting (GBDT, GBRT, GBM or MART) framework and is used …
Understanding Dimensionality Reduction
Author(s): Vikas K Solegaonkar (ThinkPro Systems) Originally published on Towards AI. Python Code Top highlight We all understand that more data means better AI. That sounds great! But, with the recent blast of information, we often end in a problem of too …
Data Science for Biodiversity
Author(s): Tadeusz Bara-Slupski Originally published on Towards AI. Photo by Jonathan Mast on Unsplash Conservation of plant, animal and forest genetic resources The climate change effort is becoming a multi-trillion industry. In such a landscape characterized by a multitude of different projects, …
Why AI is Not a Magic Wand
Author(s): Dev Shah Originally published on Towards AI. A recommender system use case POC I worked on an ML project recently where the ask was to build a recommender system (Remember, it’s a proof of concept). A system that recommends users’ materials …
Introduction to Federated Learning
Author(s): Manish Nayak Originally published on Towards AI. Introduction Any deep learning model learns from the data and that data must be collected or uploading on the server (one machine or in a data center). A most realistic and meaningful deep learning …
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