[Statistics Grade Pre-1] How I, coming from a machine learning background, studied statistics from scratch and passed without taking Grade 2

In January 2025, when I thought about challenging myself with the Statistics Grade Pre-1 exam, this is what I was thinking.

Who is Susan C. Athey and what did she change? Analyzing digital markets with causal inference and machine learning

Susan C. Athey is an economist who has studied ways to analyze digital markets and policy by connecting economic theory, ...
Analytics Insight

From Models to Systems: Moxank Patel on Building Machine Learning That Works at Scale

Moxank Patel, Machine Learning Engineer at Meta, has worked across machine learning, information retrieval, NLP, computer vision, backend engineering and produc ...
techtarget

What is AI inference?

AI inference is the process during which a trained artificial intelligence model applies its understanding to generate original output in real time. In an inference operation, a model responds with ...
techtarget

AI inference vs. training: Key differences and tradeoffs

Every time an AI chatbot answers a question or an e-commerce site suggests a new product, two important processes are at work: training and inference. These two phases, while interdependent, are quite ...
PC Magazine

AI training vs. inference

AI training is about acquiring knowledge and inference is applying that knowledge to make predictions, generate answers and create original content. However, although a lot goes into both stages, ...
Semiconductor Engineering

CiM Integration For ML Inference Acceleration

“Compute-in-memory (CiM) has emerged as a compelling solution to alleviate high data movement costs in von Neumann machines. CiM can perform massively parallel general matrix multiplication (GEMM) ...