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 Linear Regression
Author(s): Manish Nayak Originally published on Towards AI. Introduction One of the simplest models of machine learning is linear regression, but linear models are building blocks of deep neural networks and they are really important. There are two main classes of supervised …
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 …
Making The Smart Bet On Cybersecurity
Author(s): Charles Towers-Clark Originally published on Towards AI. Cybersecurity strategy doesn’t have to be a gamble, but trying to beat the odds of a breach is an impossible task. Educating your entire organization, and automating the most data-heavy tasks provide the best …
Building a Machine Learning Model When Data Isn’t Available
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Advantages of high-quality data Before performing any data science task such as exploratory data analysis or building a model, you must ask yourself the following important questions: What do you want to …
Get the Optimal K in K-Means Clustering
Author(s): Satsawat Natakarnkitkul Originally published on Towards AI. Provide the quick starting guide to find the optimal number of clusters in K-means clustering Top highlight Photo by Fotis Fotopoulos on Unsplash Clustering (or Cluster Analysis) helps to identify and group the data …
Adversarial Attacks in Textual Deep Neural Networks
Author(s): Edward Ma Originally published on Towards AI. What is an adversarial attack? Photo by Solal Ohayon on Unsplash Adversarial examples aim at causing target model to make a mistake on prediction. It can be either be intended or unintended to cause …
Feature Scaling with Python’s Scikit-learn
Author(s): Bindhu Balu Originally published on Towards AI. Top highlight One of the primary objectives of normalization is to bring the data close to zero. That makes the optimization problem more “numerically stable”. Now, the scaling using mean and standard deviation assumes …
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