What is Machine Learning?

Machine learning occurs when software is able to successfully predict and react to unfolding scenarios based on previous outcomes, without human input.

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 that artificial neural networks may one day grow 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 Internet of Things (IoT) 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 customize results and recommendations to match user preferences, creating delightfully personalized experiences for consumers.

HPE machine learning solutions

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.

Talk to an HPE machine learning expert

Let HPE help you understand how machine learning can make a difference in your IT department. Connect with an HPE machine learning expert.

Resources for machine learning

Article : Short Circuit: The Vulnerable Security of Machine Learning


As artificial intelligence becomes more popular, finding the balance between machine control and benefits is crucial to security.

Article : The Rise of Machine Learning


Machine learning influences all the latest trends. Data and analytics expert Marcus Borba discusses how machine learning will grow in some key areas.

Blog Post : Machine Learning in the Cloud – All the Possibilities

Blog Post

Guest blog post by Julie Choi, Director Product Marketing, HPE Software.

Blog Post : Machine Learning APIs Power a More Intelligent Internet of Things

Blog Post

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.

Infographic : Understanding the Immediate Requirements and Best Approaches for IoT

Harness the power of IoT

Organizations are in the process of understanding the immediate requirements and best approaches for IoT. Here is some guidance.

White Paper : Become a Data-driven Organization with IoT

White Paper

Discover how implementing big data platform solutions can help your organization maximize the opportunity and minimize the risk from Internet of Things investments.