Tag

Artificial Intelligence

An Introduction to Working with BERT in Practice

From Deep Learning for Natural Language Processing by Stephan Raaijmakers

This article introduces you to working with BERT.

From Machine Learning to Automated Machine Learning

From Automated Machine Learning in Action by Qingquan Song, Haifeng Jin, and Xia Hu

This article covers

•   Defining and introducing the fundamental concepts of machine learning

•   Describing the motivation for and high-level concepts of automated machine learning

Before You Model: planning and scoping

From Machine Learning Engineering in Action by Ben Wilson

Before we get into how successful planning phases for ML projects are undertaken, let’s go through a simulation of the genesis of a typical project at a company that doesn’t have an established or proven process for initiating ML work.

Deep Transfer Learning for NLP with Transformers

From Transfer Learning for Natural Language Processing by Paul Azunre

In this article, we cover some representative deep transfer learning modeling architectures for NLP that rely on a recently popularized neural architecture – the transformer – for key functions.

Detecting Word Types with POS Tagging, Part 2

From Getting Started with Natural Language Processing by Ekaterina Kochmar

This article shows you how to extract the meaningful bits of information from raw text and how to identify their roles. Once you have roles identified, you can move on to syntactic parsing.

Detecting Word Types with Part-of-Speech Tagging, part 1

From Getting Started with Natural Language Processing by Ekaterina Kochmar

This article shows you how to extract the meaningful bits of information from raw text and how to identify their roles. Let’s first look into why identifying roles is important.

Shallow Transfer Learning in NLP

From Transfer Learning for Natural Language Processing by Paul Azunre

This article delves into using shallow transfer learning to improve your NLP models.

Getting Started with Baselines

From Transfer Learning for Natural Language Processing by Paul Azunre

This article discusses getting started with baselines and generalized linear models.

Gathering Data at Scale for Real-World AI

From AI as a Service by Peter Elger and Eóin Shanaghy

This article discusses gathering data for real-world AI projects and platforms.

Applying AI to Existing Platforms

From AI as a Service by Peter Elger and Eóin Shanaghy

This article discusses how to add AI to existing platforms.

 

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