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 …
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 …
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 …
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 …
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 …
Feature Selection and Dimensionality Reduction Using Covariance Matrix Plot
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. 1. Import Necessary Libraries Top highlight This article will discuss how the covariance matrix plot can be used for feature selection and dimensionality reduction. A machine learning algorithm (such as classification, clustering …
Using a CNN to Classify Age Groups
Author(s): Atiar Rahman Originally published on Towards AI. Diving Into my First Convolutional Neural Network U+007C Towards AI Having recently learned about convolutional neural networks, I wanted to build my own. Initially, I wanted to be able to get a person’s age …
Choose the Right Featured Image For Your Data Science Articles
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Choosing the right featured image plays a key role in whether your article gets selected and recommended by Medium’s curators to topics. This article will discuss some suggestions on how to choose …
Popular posts
Updates
Recent Posts
