When should I use machine learning?
With the advent of Industry 4.0 and the industrial internet of things (IIoT), information comes streaming in from many sources. Being able to collect, collate and analyze this information is becoming ever-more critical as companies use this to find insight and improve efficiency and effectiveness. You may already run some data analysis and may ask you the question "When should I use machine learning?”
Learning to Love Correlograms in the Latest Minitab Release
Learn why correlograms, among the new visualizations as part of the recent Minitab release, are such popular and useful tools for advanced analytics.
A Food Manufacturer's Secret Process Improvement Recipe for Saving $35 Million
Learn how Master Black Belt Brian Mapani of PremierFMCG saved $35M with a Lean Six Sigma program, Companion and Minitab Statistical Software.
Six Data Preparation Tasks You Thought Only Programmers Could Handle
Learn about data preparation tasks you can do yourself using Minitab Connect's "coding optional" data prep tools
Updating Graphs, Making Patterned Data and More Tips & Tricks to Help You Master Minitab
Quick tips to manipulate data, run analyses and create visualizations faster. Plus watch them in action in the Tips & Tricks for Minitab webinar on demand.
Better Together: Pairing Online and In-Person Learning is Key to Developing Critical Analytical Skills
Explore how pairing in-person with online learning opportunities can help individuals and organizations develop critical skills, in a win-win approach.
3 Ways Minitab Makes Plotting Histograms More Automatic and Easier than Excel
Let’s look at 3 ways to do more with histograms in Minitab than Microsoft Excel and Data Analysis Toolpak. You can easily plot frequency and update the bin range.
Fewer X-Ray Errors Reduce Cancer Risk, Wait Time and Costs
In hospitals and clinics, making the right decisions doesn’t just reduce costs from process inefficiencies — it results in better outcomes for patients.