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Caterpillar Does Digital: The Machine Learning Behind the Machines
Caterpillar is that rare breed of company with both a rich heritage from the past and a commitment to digital innovation. Pradeep Maddineni, software engineering lead, noted that, when he sees the yellow machines in the world, he's proud of their history as well as the powerful tech behind them.
A beginner’s guide to the math that powers machine learning
How much math knowledge do you need for machine learning and deep learning? Some people say not much. Others say a lot. Both are correct, depending on what you want to achieve. There are plenty of programming libraries, code snippets, and pretrained models that can get help you integrate machine learning into your applications without […]
Machine Learning and Artificial Intelligence: How Computers Learn
From picking our favorite restaurants to correcting global food shortages, artificial intelligence and machine learning already impact our lives.
What humans need to learn about machine learning
Coming to terms with machine learning is critical, but most executives are unprepared.
What Neural Networks, Artificial Intelligence, and Machine Learning Actually Do
When an app claims to be powered by “artificial intelligence” it feels like you’re in the future. What does that really mean, though? We’re taking a look at what buzzwords like AI, machine learning, and neural networks really mean and whether they actually help improve your apps.
Machine Learning: What it is and why it matters
Find out what machine learning is, what kinds of algorithms and processes are used, and some of the many ways that machine learning is being used today.
Ten Myths About Machine Learning
Machine learning used to take place behind the scenes: Amazon mined your clicks and purchases for recommendations, Google mined your…
Key trends in machine learning and AI
You can hardly talk to a technology executive or developer today without talking about artificial intelligence, machine learning or bots. While everyone..
How Machine Learning Enables the Intelligent Enterprise
Machines are learning to write, speak, and find meaning in images and video. In the future, intelligent machines will increasingly support humans. We will enter the age of the intelligent enterprise.
How data, machine learning and AI will perform magic for consumers
Imagine wanting a cup of coffee and suddenly finding it before you, freshly prepared to your exacting standards.
The darker side of machine learning
While machine learning is introducing innovation and change to many sectors, it also is bringing trouble and worries to others. One of the most worrying..
Applying machine learning to IoT data
Let’s move beyond theoretical discussions about machine learning and the Internet of Things – and talk about practical business applications instead.
Nest looks to enhance AI and machine learning
Nest is looking to improve the artificial intelligence (AI) and use of machine learning for its products
Python versus R for machine learning and data analysis
Both the Python and R languages have developed robust ecosystems of open source tools and libraries that help data scientists of any skill level more easily perform analytical work.
Man Vs. Machine: How Humans Are Driving The Next Age Of Machine Learning
If you’ve been following the buzz around artificial intelligence lately, you may have gotten the impression that machines will soon take over the world and..
How machine learning works
THE standard joke about artificial intelligence (AI) is that, like nuclear fusion, it has been the future for more than half a century now.
How to Think About Machine Learning
Machine learning is a large and interdisciplinary field of study. You can achieve impressive results with machine learning and find solutions to very challenging problems. But this is only a small corner of the broader field of machine learning often called predictive modeling or predictive analytics. In this post, you will discover how to change …
Why Machine Learning Projects Fail
The first step to a successful ML project is to understand that these projects require different processes, terminology, workflows, and tools than those needed by traditional development.
How viable is machine learning for cybersecurity?
Business professionals who have been riding the ML high may be in store for a "hangover" when the trough of disillusionment hits.
How to deliver on Machine Learning projects
