Adactio: Journal—Databasing
The need for speed on The Session.| adactio.com
An optimization for implementing Ringsteady Subsetting in linear time.| flowblok’s blog
Introduction In March 2023, I embarked on a mission to explore the potential of Large Language Models (LLMs) within Grab. What started off as an attempt to solve a specific problem—reducing the burden on our ML Platform team’s support channels, ended up becoming something much bigger. The creation of GrabGPT, an internal ChatGPT-like tool that has transformed how folks in Grab interact with AI. This is the story of how a failed experiment led to one of Grab’s most impactful internal too...| Grab Tech
Learn how to warm up a new email domain or IP to improve deliverability, inbox placement, and event marketing performance. Includes a free checklist!| CDonaldson Marketing
Is your email domain hurting deliverability? Learn how to check reputation, fix blacklists, & optimise e-health for better inbox placements.| CDonaldson Marketing
Explore the best social listening tools for 2025—we compare free and paid options to help you find the perfect fit for your business.| CDonaldson Marketing
If your event marketing isn't performing as well as it used to – even though you're spending more – you're not imagining things...| CDonaldson Marketing
There are many uses for AI in SEO, but it should never be used to replace insight and technical audits. There is no substitution for that.| Nikki Halliwell
The Ben Line is a very poorly named concept of mine for automating the optimisation of Google Ads campaigns within large accounts.| Benjamin Davis
Marginal Gains is the theory that small, incremental improvements in multiple areas of a system can add up to a significant overall improvement.| Benjamin Davis
Learn how to integrate SEO & PPC in a 52-week strategy to maximise event visibility, adapt to AI-driven search, and drive conversions with smarter marketing.| CDonaldson Marketing
Discover how we revolutionised our product configuration management SDK, reducing initialisation time by up to 90%. Learn about the challenges we faced with cold starts and the phased approach we took to optimise the SDK's performance.| Grab Tech
Learn about GrabX, Grab’s central platform for product configuration management. This article discusses the steps taken to optimise the SDK, aiming to improve resource utilisation, reduce costs, and accelerate internal adoption.| Grab Tech
The Weekly Challenge 287, Task 1| blogs.perl.org
The Weekly Challenge 270/2| blogs.perl.org
Discover how Grab assesses marketing effectiveness using advanced attribution models and strategic testing to improve campaign precision and impact.| Grab Tech
Learn how to master on-page optimization and take your websites rankings to the next level with our expert guide of tips, tricks and industry secrets.| Shout Digital Marketing Agency
It's fair to say that the March 2024 Core Update and Spam Update have been a bit of a bloodbath. I discuss how to handle these.| Nikki Halliwell
The Weekly Challenge 145 The Task 2 of the Weekly Challenge #145 asked us to build a Palindromic Tree. It also linked to a blog post explaining the "Eertree" data structure. Maybe it was just me, but I found...| E. Choroba
Linked List You are given a linked list and a value k. Write a script to partition the linked list such that all nodes less than k come before nodes greater than or equal to k. Make sure you...| E. Choroba
Stepping Numbers Write a script to accept two numbers between 100 and 999. It should then print all Stepping Numbers between them. A number is called a stepping number if the adjacent digits have a difference of 1. For...| E. Choroba
Dans cet article, je te montre comment utiliser une Random Seed avec TensorFlow pour obtenir des résultats reproductibles avec ton modèle. À l’inverse du Machine Learning traditionnel, l’entraînement d’un modèle de Deep Learning est un processus hautement complexe. Dans ce processus est utilisé l’aléatoire, entre autres, pour initialiser les poids des neurones. Cette aspect aléatoire […] L’article Random Seed TensorFlow – Comment obtenir des résultats stables avec un mo...| Inside Machine Learning
Ici, je te dévoile comment installer et utiliser cuML sur Google Colab pour entraîner rapidement tes modèles de Machine Learning. Google Colab propose des notebooks sur le cloud permettant d’exécuter du code Python. Majoritairement utilisé par les Data Scientists et les ML Engineers, Colab possède un défaut: cuML n’est pas installé dans l’environnement de base. […] L’article Qu’est-ce que cuML et comment l’utiliser sur Google Colab? est apparu en premier sur Inside Machi...| Inside Machine Learning
Dans cet article, je te dévoile les secrets de l’Optimisation Bayésienne, une technique révolutionnaire pour optimiser les hyperparamètres. Les hyperparamètres jouent un rôle essentiel dans la performance des modèles de Machine Learning. Cependant, trouver la combinaison optimal d’hyperparamètres peut être une tâche ardue. Cela nécessite souvent des analyses manuelles détaillées. Mais quels sont exactement ces […] L’article Optimisation Bayésienne – C’est quoi ? Comm...| Inside Machine Learning
Optimality analysis of Lighthouse's attestation packing algorithm| Sigma Prime
These are our very best Landing Page Optimization tips and tricks to take your landing page to totally new heights and make a lasting impact online.| Shout Digital Australia
