Thursday, March 22, 2018

9 machine learning myths

Moving toward outcome-based intelligence

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IDG AI/Machine Learning Report

Our top picks from IDG's editors

Mar 22, 2018

9 machine learning myths

When technology is as hyped as machine learning is, misunderstandings and misconceptions abound. Here's a clear-eyed look at what machine learning can and can't deliver. Read More ▶

Your Must-Read Stories

•	Moving toward outcome-based intelligence

•	Big data analytics: The cloud-fueled shift now under way

•	PyTorch tutorial: Get started with deep learning in Python

•	Google is creating its own Amazon right under our noses

•	FPGA maker Xilinx aims range of software-programmable chips at data centers

Moving toward outcome-based intelligence

Newer machine learning techniques coupled with better programming techniques and more data-driven skills should make a difference, and so should better tools to directly connect outcomes to the core models. Read More ▶

Big data analytics: The cloud-fueled shift now under way

Public clouds are the future of enterprise big data analytics, and their use is creating the unified platform needed to fully gain its value Read More ▶

PyTorch tutorial: Get started with deep learning in Python

Learn how to create a simple neural network, and a more accurate convolutional neural network, with the PyTorch deep learning library Read More ▶

Google is creating its own Amazon right under our noses

How an innocuous-seeming announcement speaks volumes about Google's shifting ambitions — and its efforts to remain relevant in a rapidly changing world. Read More ▶

FPGA maker Xilinx aims range of software-programmable chips at data centers

Xilinx, which for decades has vied with rival Altera (now part of Intel) for technical leadership in FPGAs, is unveiling what it calls a new product category – the Adaptive Compute Acceleration Platform (ACAP) – that, it says, goes far beyond the capabilities of current FPGAs. Read More ▶