The Association of Certified Fraud Examiners estimates in its “GlobalStudy on Occupational Fraud and Abuse 2018”…
Author: EHL.AI
Adversarial Learning of Deep fakes in Accounting
Machine learning techniques, and in particular deep neural networks, created advances across a diverse range of…
Utilizing Machine Learning Techniques to Reveal VAT Compliance Violations in Accounting Data
Research has shown that little attention is being paid to Value Added Tax (VAT) issues. There…
Accounting Journal Reconstruction with Variational Autoencoders and Long Short-term Memory Architecture
Deep learning is used to learn machines how to reconstruct journal entries. We developed basic models…
A Semi-Supervised Machine Learning Approach to Detect Anomalies in Big Accounting Data
Anomaly detection in large scale accounting data is one of the long-standing challenges in the financial…
Autoencoder Neural Networks versus External Auditors: Detecting Unusual Journal Entries in Financial Statement Audits
Most public companies are required by law to have their financial statements audited annually by external…
Visualizing A Neural Machine Translation Model (Mechanics of Seq2seq Models With Attention)
Sequence-to-sequence models are deep learning models that have achieved a lot of success in tasks like…
Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation
We propose a simple solution to use a single Neural Machine Translation (NMT) model to translate…
A Neural Chatbot with Personality
Conversational modeling is an important task in natural language processing as well as machine learning. Previously,…
A Step by Step Guide to Creating WhatsApp Chatbot for Business
WhatsApp Business launched a kind of beta test run of bots on the platform which has…