AI-Driven Methods for Detecting and Preventing Online Fraud
Today’s fraudsters leverage increasingly sophisticated techniques to infiltrate networks and cause harm. From distributed DNS attacks to fake accounts, account takeovers, credential stuffing, and card cracking, their methods are varied and hard to detect — let alone preventing online fraud. Fraud can have a tremendous financial... Read more
Unsupervised Learning: How I Learned to Love the Data
There has been vast progress in Natural Language Processing (NLP) in the past few years. The spectrum of NLP has shifted dramatically, where older techniques that were governed by rules and statistical models are quickly being outpaced by more robust machine learning and now deep learning-based... Read more
Exploratory Data Analysis for Natural Language Processing: A Complete Guide to Python Tools
Exploratory data analysis is one of the most important parts of any machine learning workflow and Natural Language Processing is no different. But which tools you should choose to explore and visualize text data efficiently? In this article, we will discuss... Read more
Intermediate Topics in Neural Networks
This article is the second in a series of articles aimed at demystifying the theory behind neural networks and how to design and implement them for solving practical problems. In this article, I will cover the design and optimization aspects of neural networks in detail. The... Read more
Natural Language Processing Guide: 30 Free ODSC Resources to Learn NLP
NLP, as with many other topics within data science, involves many skills, tools, languages, frameworks, and more. The ODSC Guide to Natural Language Processing is our compendium of 20 free resources for you to get started with NLP, including videos from past ODSC NLP presentations, tutorials,... Read more
10 Notable Frameworks for NLP
Natural Language Processing hit its big stride back in 2017 with the introduction of Transformer Architecture from Google. State of the art approaches helped bridge the gap between humans and machines and helped us build bots capable of using human language undetected. It’s an exciting time.... Read more
State-of-the-Art NLP Made Easy With AdaptNLP
Natural Language Processing (NLP) has advanced significantly since 2018, when ULMFiT and Google’s release of the BERT language model approached human-level performance on a range of use cases. Since then, several models with similarly interesting names such as XLM, GPT-2, XLNet, and ALBERT have been released... Read more
Level Up: spaCy NLP for the Win
Kimberly is a speaker for ODSC East 2020! Be sure to check out her talk, “Level Up: Fancy NLP with Straightforward Tools,” at this upcoming event! Natural language processing (NLP) is a branch of artificial intelligence in which computers extract information from written or spoken human... Read more
Introduction to Spark NLP: Foundations and Basic Components
Veysel is a speaker for ODSC East 2020 this April 13-17! Be sure to check out his talk, “Spark NLP for Healthcare: Lessons Learned Building Real-World Healthcare AI Systems,” there! * This is the first article in a series of blog posts to help Data Scientists... Read more
The Most Influential NLP Research of 2019
Natural language processing (NLP) is one of the most important technologies to arise in recent years. Specifically, 2019 has been a big year for NLP with the introduction of the revolutionary BERT language representation model. There are a large variety of underlying tasks and machine learning... Read more