What is Machine Learning?
Machine learning definition
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.
Why machine learning?
Whether or not you’re excited by the idea of artificial neural networks one day growing sophisticated enough to replicate human consciousness, there are undeniable practical advantages to machine learning, namely:
- Intelligent big data management – The sheer volume and variety of data being generated as humans and other environmental forces interact with technology would be impossible to process and draw insights from without the speed and sophistication of machine learning.
- Smart devices – From wearable devices that track health and fitness goals to self-driving cars to "smart cities" with infrastructure that can automatically reduce wasted time and energy, the holds great promise, and machine learning can help make sense of this significant increase in data.
- Rich consumer experiences – Machine learning enables search engines, web apps and other technology to customise results and recommendations to match user preferences, creating delightfully personalised experiences for consumers.
HPE machine learning solutions
Server solutions from Hewlett Packard Enterprise are built to help customers realise 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 utilises 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.
Galvanising manufacturing with artificial intelligence and deep learning
Discover how manufacturers are blending computer-aided engineering (CAE) and data-driven AI and deep learning technologies to improve operations and support more products, profitably.
- Drive value in manufacturing with AI and DL
- Deep learning benefits from HPC
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