# vergelabs.ai > AI-optimized mirror of vergelabs.ai containing 48 pages totalling 30,172 words of clean markdown content, structured data, and semantic HTML. Original source: https://vergelabs.ai/. Last updated: 2026-06-12T12:46:25.339Z. Each page is available as HTML (with JSON-LD structured data) and Markdown (text-only, ideal for LLMs and RAG). ## Homepage - [We are different](/content/site-root.html): Machine learning and artificial intelligence for business (770 words) ## Articles & Blog Posts - [Interpretable Machine Learning - a core skill for the competent data scientist](/content/blog/interpretable-machine-learning-a-core-skill-for-the-competent-data-scientist.html): Machine learning interpretability is an increasingly important, and oft-neglected area. There are multiple complementary interpretability methods... (1,849 words) - [Taking apart systems](/content/blog/taking-apart-systems/index.html): Data scientists rely on systems. Python, R, SQL, JavaScript, Scala. Databases. Linux. Random forests, neural networks. Scatter plots, bar charts, pie... (1,697 words) - [Interview with Laurence Liew, Director @ AI Singapore](/content/blog/interview-with-laurence-liew-director-ai-singapore/index.html): Welcome to the second round of our new interview series. Given AI and machine learning is pervading many industries and professions, we thought we'd... (1,845 words) - [Interview with Creel Price, CEO of Investible](/content/blog/interview-with-creel-price-ceo-of-investible/index.html): Welcome to the first post of our new interview series. Given AI and machine learning is pervading many industries and professions, we thought we'd... (926 words) - [Running Experiments in a Business](/content/blog/running-experiments-in-a-business/index.html): By now you might have hear the story of how Google used experiments to decide on just the right shade of blue for its affiliate links. And how that... (1,371 words) - [Online Resources for Data Science](/content/blog/online-resources-for-data-science/index.html): My partners and I have given countless talks about data science, and are often asked at conferences, meetups and other events about which resources we... (701 words) - [Why Auto-ML tools will drive up the cost of Machine Learning](/content/blog/why-auto-ml-tools-will-drive-up-the-cost-of-machine-learning.html): Automatic Machine Learning (Auto-ML) is the toolset that enables people who aren't specialists or engineers to solve problems with machine learning.... (899 words) - [Sydney AI Hub](/content/blog/sydney-ai-hub/index.html): We are extremely proud to announce the launch of the Sydney AI Hub! The Sydney AI Hub is a space for machine learning and AI startups, freelancers and... (670 words) - [Monthly Roundup - April 2018](/content/blog/monthly-roundup-april-2018/index.html): Here's our roundup of AI and ML in the news we found wanted to share and offer our take. (693 words) - [Interview with Dr. Daniel Moses, Partner @ Spectrum Medical Imaging](/content/blog/interview-with-dr-daniel-moses-partner-spectrum-medical-imaging.html): Welcome to the third post of our interview series. Given AI and machine learning is pervading many industries and professions, we thought we'd reach... (1,543 words) - [Art with Data](/content/blog/art-with-data/index.html): We've been doing some work with computer vision for our clients and couldn't help having a bit of fun with it. Advances in computer vision (i.e. deep... (306 words) - [Spatial Analysis in Australia](/content/blog/spatial-analysis-in-australia/index.html): What data best describes a location? Is it the age of the people living nearby, proximity to a train station, or maybe it's how many trendy cafes are... (840 words) - [So long 2018, Hello 2019!](/content/blog/so-long-2018-hello-2019/index.html): As we wrap up 2018, it’s a good time for us to take stock and look towards 2019. Verge Labs has had our best year ever (being our first year as well). (850 words) - [Why a Professional Body for Data Scientists is a Bad Idea](/content/blog/why-a-professional-body-for-data-scientists-is-a-bad-idea.html): Data Scientist. Two words, when combined, and placed under one's name on a resume or LinkedIn profile, demonstrably lead to a deluge of job... (660 words) - [We can't find the page you’re looking for.](/content/playing-games-with-ai/index.html): Machine learning and artificial intelligence for business (52 words) - [What Makes a Good Data Scientist? - Podcast with Tiberio Caetano](/content/blog/what-makes-a-good-data-scientist-podcast-with-tiberio-caetano.html): I recently interviewed Tiberio Caetano, Co-Founder and Chief Scientist at Ambiata, about how actuaries can make the transition into data science. (135 words) - [Video: Interpretable Machine Learning by Anthony Tockar](/content/blog/video-interpretable-machine-learning-by-anthony-tockar.html): Interpretability matters! Machine learning models have been getting more accurate, but also more complex over the past few years. However in many... (220 words) - [Welcome to Verge Labs!](/content/blog/welcome-to-verge-labs/index.html): Welcome! We are very pleased to announce the beginning of the Verge Labs journey. (358 words) - [De-Jargoning Machine Learning](/content/blog/de-jargoning-machine-learning/index.html): There are a lot of terms in the field of machine learning being thrown around interchangeably, we wanted to clear the air and help you understand... (285 words) - [The Notebook Ecosystem](/content/blog/the-notebook-ecosystem/index.html): Notebooks are an interactive environment for analysing data with the ability to write code, run code and document it. They're popular amongst data... (1,684 words) - [blog/illustrating-hp-lovecraft/index.html](/content/blog/illustrating-hp-lovecraft/index.html) (1 words) - [AI in Finance - Interview with Dr. Michael Kollo](/content/blog/ai-in-finance-interview-with-dr-michael-kollo.html): Welcome to the fourth instalment in our interview series. Given AI and machine learning is pervading many industries and professions, we thought we'd... (1,353 words) - [Monthly Roundup - July 2018](/content/blog/monthly-roundup-july-2018/index.html): What a great month! Read all about what we've been doing in sunny Brisbane, how we are using simulated environments to do machine learning and some of... (1,464 words) - [Announcing Oversight.ai](/content/blog/announcing-oversight-ai.html): We at Verge Labs are proud to launch Oversight.ai - an ethical AI software suite. Why do we need this? (264 words) - [Data Privacy: Don't Forget the Data Scientist](/content/blog/data-privacy-dont-forget-the-data-scientist/index.html): Anthony Tockar (CIPM, CIPP/E) is an IAPP-certified information privacy manager and information privacy professional (Europe). He is also an expert in... (1,033 words) - [Video: Respecting Privacy with Look-Alike Data Sets by Tim Garnsey](/content/blog/video-respecting-privacy-with-look-alike-data-sets-by-tim-garnsey.html): With companies like Cambridge Analytica in the news, people are understandably worried about how companies store and handle data about them. Sensitive... (237 words) - [Blog](/content/blog/page/3/index.html): Our latest thoughts on data science, machine learning and AI (328 words) - [Resources for Forecasting 🔮](/content/blog/resources-for-forecasting/index.html): We've put together this post covering what time series data is, why it's useful to analyse as a business and some of the tools you can use if you want... (1,143 words) - [Blog](/content/blog/page/2/index.html): Our latest thoughts on data science, machine learning and AI (306 words) - [Blog](/content/blog/page/5/index.html): Our latest thoughts on data science, machine learning and AI (322 words) - [Introducing Deckard for large scale data visualisation](/content/blog/introducing-deckard-for-large-scale-data-visualisation.html): Deckard is our first open source contribution, combining deck.gl with R. We saw the great work done at Uber with deck.gl and some impressive... (409 words) - [Intro to OpenAI Gym - presentation and code](/content/blog/intro-to-openai-gym-presentation-and-code/index.html): To generate some buzz about our upcoming course, Insert AI to Continue, Anthony and Tim presented at the Sydney Data Science Breakfast Meetup last... (216 words) - [What Do Data Scientists Actually Do?](/content/blog/what-do-data-scientists-actually-do/index.html): Let's start by addressing the elephant in the room - there are thousands of blog articles out there that aim to answer this exact question. Why on... (630 words) - [DeOldifying Sydney](/content/blog/deoldifying-sydney/index.html): What would photos of Sydney from a hundred years ago look like in colour? Using machine learning, Sydney’s historical photos can be transformed from... (414 words) - [Volt Bank](/content/what-we-do/volt/index.html): Volt Bank leveraged our knowledge and experience in data ethics to help guide the development of their ethical principles and practices. (221 words) - [Upcoming Events and a Verge Labs Update](/content/blog/upcoming-events-and-a-verge-labs-update/index.html): What a year 2020 ended up being... We've been focussed on our consulting work and have some really exciting developments at Verge Labs which we will... (293 words) - [Blog](/content/blog/page/6/index.html): Our latest thoughts on data science, machine learning and AI (182 words) - [State government department](/content/what-we-do/govt/index.html): We were engaged by the department's analytics team to provide data science and solution architecture services on multiple projects. (361 words) - [ANZ Onepath](/content/what-we-do/onepath/index.html): We worked with a division of Onepath to develop advanced customer retention modelling and customer valuation. (216 words) - [Sports betting company](/content/what-we-do/sportsbetting/index.html): We worked with this company on several cutting-edge machine learning projects to help test and enhance their predictive models. (260 words) - [The Ethics of Machine Learning - Podcast with Tiberio Caetano](/content/blog/the-ethics-of-machine-learning-podcast-with-tiberio-caetano.html): I recently interviewed Tiberio Caetano, Co-Founder and Chief Scientist at Ambiata, about AI and ethics, on behalf of the Actuaries Institute. (125 words) - [Blog](/content/blog/page/4/index.html): Our latest thoughts on data science, machine learning and AI (324 words) - [Life insurance company](/content/what-we-do/lifeinsurance/index.html): We worked with the actuarial pricing team to help them prepare for a major tender. (264 words) - [About us](/content/about-us/index.html): Machine learning and artificial intelligence for business (582 words) - [Blog](/content/blog/index.html): Our latest thoughts on data science, machine learning and AI (296 words) - [Training](/content/training/index.html): Machine learning and artificial intelligence for business (488 words) - [sitemap-xml.html](/content/sitemap-xml.html) (86 words) ## Resources - [Full Page Index](/index.html): Browse all cached pages with rich metadata - [About This Cache](/content/about.html): Methodology, technical details, and usage guidelines - [XML Sitemap](/sitemap.xml): Machine-readable sitemap for crawler discovery - [Robots.txt](/robots.txt): Crawler directives