Feb
2,
2024
Address Matching with NLP in Python
Discover the power of address matching in real estate data management with this comprehensive guide. Learn how to leverage natural language processing (NLP) techniques using Python, including open-source libraries like SpaCy and fuzzywuzzy, to parse, clean, and match addresses. From breaking down data silos to geocoding and point-in-polygon searches, this article provides a step-by-step approach to creating a Source-of-Truth Real Estate Dataset. Whether you're in geospatial analysis, real estate data management, logistics, or compliance, accurate address matching is the key to unlocking valuable insights.
Aug
29,
2023
AI is a Human Endeavor
As AI advances, calls for regulation are increasing. But viable regulatory policies will require a broad public debate. We spoke with Mhairi Aitken, Ethics Fellow at the British Alan Turing Institute, about the current discussions on risks, AI regulation, and visions of shiny robots with glowing brains.
Jun
5,
2023
ChatGPT and Artificial General Intelligence: The Illusion of Understanding
The introduction of ChatGPT in late 2022 touched off a debate over the merits of artificial intelligence which continues to rage today.
Mar
30,
2023
AI Alignment
At least since the arrival of ChatGPT, many people have become fearful that we are losing control over technology and that we can no longer anticipate the consequences they may have. AI Alignment deals with this problem and the technical approaches to solve it.
Aug
22,
2022
Scalable Programming
Java continuously introduces new, useful features. For instance, Java 8 introduced the Stream API, one of the biggest highlights of the past few years. But is aggregating data with the Stream API a panacea? In this article, I’d like to explore if there’s a better alternative for certain cases from a complexity perspective.
Jun
7,
2022
Why are we doing this anyway?
Modularization is frequently discussed, but after some time, the speakers realize that they don’t mean the same thing. Over the last fifty years, computer science has given us a number of good explanations about what modularization is all about—but is that really enough to come to the same conclusions and arguments?
Nov
9,
2021
The Trends Shaping Natural Language Processing in 2021
According to research from last year, 2020 had an impact on business globally, but NLP was a bright spot for technology investments. That momentum has carried through to this year, but even still, we are just at the tip of the iceberg in terms of what NLP has to offer.
Mar
15,
2021
On pythonic tracks
Python has established itself as a quasi-standard in the field of machine learning over the last few years, in part due to the broad availability of libraries. It is logical that Oracle did not really like to watch this trend — after all, Java has to be widely used if it wants to earn serious money with its product. Some time ago, Oracle placed its own library Tribuo under an open source license.
May
5,
2020
Explainability – a promising next step in scientific machine learning
With the emergence of deep neural networks, the question has arisen how machine learning models can be not only accurate but also explainable. In this article, you will learn more about explainability and what elements it consists of, and why we need expert knowledge to interpret machine learning results to avoid making the right decisions for the wrong reasons.
Feb
11,
2020
Tutorial: Explainable Machine Learning with Python and SHAP
Machine learning algorithms can cause the “black box” problem, which means we don’t always know exactly what they are predicting. This may lead to unwanted consequences. In the following tutorial, Natalie Beyer will show you how to use the SHAP (SHapley Additive exPlanations) package in Python to get closer to explainable machine learning results.