What is Machine Learning
Machine learning is a function of artificial intelligence (AI) Which provides computers the intelligence to automatically learn and develop skills from experience without being explicitly programmed. Machine learning aims at the improvement of computer programs which can access data and use it learn for themselves.
Future of Machine Learning
Most applications will include machine learning.
In only 3-5 years, machine learning will play an important role and become part of almost every software application. Engineers will even insert this efficiency directly into our systems. Think of how good your TV streaming service knows that what to suggest to the user. Expect this level of personalization to become ubiquitous and improve the customer experience everywhere.
Machine learning as a service will become more common.
As machine learning will become more and more valuable and the technology will bloom, almost every enterprise will start using the cloud to deliver machine learning as a service (MLaaS).
This will usher a bigger range of organizations to take advantages of machine learning without making large hardware capital or training their own algorithms.
Systems will get really good at talking like humans using Machine learning.
Before the machine learning, systems were facing a very hard time to understand even simple human language. Machine learning helps computers understand the context and meaning of sentences much better through natural language processing (NLP). As the technology improves, solutions such as IBM Watson Assistant will learn to communicate seamlessly without using code.
Algorithms will constantly retrain.
Currently, most machine learning systems train only once. On that initial training, the systems will then locate any new data or problems in the system. Over time, the training information often becomes dated or imperfect. In a few years, many machine learning systems will be connected to the internet and constantly retrain on the most relevant information on the internet.
Specialized hardware will deliver performance breakthroughs.
Traditional CPUs only had finite success running machine learning systems. GPUs, however, have an advantage in running these algorithms because they have a large number of simple cores. Artificial intelligence (AI) experts are also using field-programmable gate arrays (FPGAs) for machine learning. At times, FPGAs can even outperform GPUs.
As this technology advances, more businesses will embrace the AI revolution.
Machine Learning is an emerging technology which has widespread benefits. To learn more about this technology and about how to leverage it for your job or business, contact us at etlhive.com