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Machine learning occurs when software is able to successfully predict and react to unfolding scenarios based on previous outcomes, without human input.
Machine learning refers to the process by which computers develop pattern recognition, or the ability to continuously learn from and make predictions based on data, then make adjustments without being specifically programmed to do so. A form of artificial intelligence, machine learning effectively automates the process of analytical model building and allows machines to adapt to new scenarios independently.
Whether or not you’re excited by the idea that artificial neural networks may one day grow sophisticated enough to replicate human consciousness, there are undeniable practical advantages to machine learning, namely:
Server solutions from Hewlett Packard Enterprise are built to help customers realize real-time performance for their AI workloads. The HPE Apollo 6000 system is a deep learning platform designed to deliver unprecedented performance and scale in a relatively small footprint.
Deep learning is a subset of machine learning and has recently demonstrated significantly superior performance to some traditional machine learning approaches. Deep learning utilizes a combination of multi-layer artificial neural networks, data- and compute-intensive training, inspired by our latest understanding of human brain behavior. This approach has become so effective it’s even begun to surpass human abilities in many areas, such as image and speech recognition and natural language processing.
Let HPE help you understand how machine learning can make a difference in your IT department. Connect with an HPE machine learning expert.
As artificial intelligence becomes more popular, finding the balance between machine control and benefits is crucial to security.
Machine learning influences all the latest trends. Data and analytics expert Marcus Borba discusses how machine learning will grow in some key areas.
Guest blog post by Julie Choi, Director Product Marketing, HPE Software.
The Internet of Things is the evolution of machine-to-machine (M2M) technology and is the interconnection of devices and management platforms. Some IoT devices see, while others listen, sense, monitor, and/or control.
Organizations are in the process of understanding the immediate requirements and best approaches for IoT. Here is some guidance.
Making artificial intelligence enterprise-ready