This ad will close in 20 seconds. Continue to site »
Windows 10 Redstone: A guide to the builds
Excel 2016 cheat sheet
! Here are the latest Insider stories.
For enterprise protection, antivirus software is no longer enough
Read CW’s May digital magazine!
How Veritas is getting its cloud on
Buyers’ Guide: Prices dropping for data visualization software
Suggestions for you
All Cloud Computing
All Computer Hardware
Solid State Drives
Consumerization of IT
All Consumerization of IT
Bring Your Own Device (BYOD)
All Data Center
High-Performance Computing (HPC)
All Emerging Technology
Internet of Things
All Enterprise Applications
Business Intelligence (BI)
Enterprise Resource Planning (ERP)
Software as a Service (SaaS)
Unified Communications (UC)
All IT Management
IT Project Management
IT Skills & Training
Technology Law & Regulation
Mobile & Wireless
All Mobile & Wireless
Mobile Device Management
Windows 10 Mobile
All Operating Systems
Cybercrime & Hacking
Malware & Vulnerabilities
All Vertical IT
Financial Services IT
Small Enterprise IT
Want to Join?
Demystifying Machine Learning
Opinions expressed by ICN authors are their own.
With deep learning, the data-rich get richer
Why AIaaS will dominate business applications for deep learning.
From presentation to conversation: How A.I. will transform enterprise apps
Apps will soon shift from dumb repositories to deft assistants.
Job inequality and artificial intelligence in the enterprise
The future has fewer jobs, but those that remain will be better.
Machine learning: The deplorable state of deployment
A failed standard, complex alternatives -- and a way forward.
Machine learning: Clustering and classification on the campaign trail
Discovering and targeting micropopulations for politics and profit
Putting deep learning to work
Hype aside, deep learning can open up new sources of data for business analysis.
Machine learning: Demystifying linear regression and feature selection
The time-tested technique for predicting numbers, and the role of domain knowledge in machine learning.
The cost of an error: Balancing the role of humans and machines
When the cost of an error isn’t trivial, we need better approaches to error mitigation to operationalize and scale machine learning.
Your business should demand more from machine learning
As a businessperson, the ability to make specific, actionable requests of your data scientists, hold them to a high standard and connect their work to relevant action is basic contemporary corporate literacy.
Recommended for You
47% off Pecham Vertical Stand for PS4 with Cooling Fan and Dual Controller...
Save 24% on Amazon's Echo Dot By Buying Certified Refurbished Right Now - Deal...
Leak: Secret Facebook rules on what violence, self-harm and child abuse can be...
Beyond Perimeter: Detecting Ransomware and Aberrant User Behavior
How to Fuel Innovation Through Hidden Cost Savings
Manage Your IT Estate in 5 Weeks or Less with CloudScape Pro
Exploring the Power of Optimal Mobile Performance
How Digital Business is Shaping the Next Wave of Automation
Top Blog Posts
Great R packages for data import, wrangling and...
Indiana joins Idaho in claiming DHS tried to hack their...
9 next-level tips for your Google Pixel phone
Faraday Future's FF 91 -- specs, price and when you can get...
All Computerworld Blogs »
Online Master of Science in Information Systems at Northwestern University
INSTANTLY dtSearch® TERABYTES OF FILE+EMAIL+DB+WEB DATA; reviews/evals