This article was co-written with my colleague and fellow YEC member, Nirman Dave, CEO at Obviously AI. Back in March of this year, MIT Sloan Management Review made a sobering discovery: The majority ...

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a ...

Businesses are generating data at a faster pace than ever: 90% of the world’s data was generated within the last two years. The increased data volume is rapidly outpacing our ability to consume it.

Researchers have explained how large language models like GPT-3 are able to learn new tasks without updating their parameters, despite not being trained to perform those tasks. They found that these ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Overview: Machine learning failures usually start before modeling, with poor data understanding and preparation.Clean data, ...

Xiangrui Meng of Databricks, a committer on Apache Spark, talks about how to make machine learning easy and scalable with Spark MLlib. Xiangrui has been actively involved in the development of Spark ...

Automating through machine learning (ML) allowed Amazon.com to predict future demand for millions of products globally in seconds. Leaders at the multinational tech giant successfully reinvented their ...