Iterable optimizes AI to hyper-personalize marketing and predict future purchases Original Source Here Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Watch here. With people living on their phones and constantly deluged by messages, emails and notifications, so-called “batch-and-blast” emails, targeted web ads and word-of-mouth are no longer adequate when it comes toContinue reading “Iterable optimizes AI to hyper-personalize marketing and predict future purchases”

Geometric Distribution Simply Explained*Mbl9xk1M1YcPwna8 Original Source Here Geometric Distribution Simply Explained A simple description and uses of the Geometric distribution Photo by Moritz Kindler on Unsplash Introduction In this article I want to discuss a common and easy to understand distribution in statistics, the Geometric distribution. This distribution is used in many industries such as finance, sports andContinue reading “Geometric Distribution Simply Explained”

LiBai Model Library to Train Large Models More Easily and Efficiently*Lbbgdq9NFNyogu3H Original Source Here The LiBai model library gathers the merits of mainstream Transformers libraries spanning Hugging Face, Megatron-LM, DeepSpeed,and FairSeq… Continue reading on Medium » AI/ML Trending AI/ML Article Identified & Digested via Granola by Ramsey Elbasheer; a Machine-Driven RSS Bot

Babylon Health dials back some services in the UK Original Source Here UK health tech startup, Babylon Health is pulling in its horns in its home market, blaming challenging global and macroeconomic conditions for the termination of a couple of multi-year contracts it had inked with two NHS Trusts in England in recent years — including one from the start of 2020 thatContinue reading “Babylon Health dials back some services in the UK”

What Occam’s Razor Means in Machine Learning

Original Source Here What Occam’s Razor Means in Machine Learning A practical explanation of this law of simplicity Photo by Максим Рыжкин on Unsplash “Everything should be made as simple as possible, but not simpler.” — Albert Einstein A while ago, I wrote an article about the No Free Lunch Theorem — a theorem inspiredContinue reading “What Occam’s Razor Means in Machine Learning”