Machine Learning: What It Is And Why It Matters

WHAT IS MACHINE LEARNING?

Machine learning is the data analysis method that automates analytical model building. It is the branch of artificial intelligence which is based on the notion that systems can learn from data, recognize patterns and make decisions with negligible human intervention. Machine learning algorithms make use of computational methods to “learn” information directly from data without relying on a predetermined equation as a model.

WHY MACHINE LEARNING?

The machine learning field is continuously evolving. Along with evolution comes an increase in the demand and significance. There is one vital reason why data scientists need machine learning, and that is: ‘High-value predictions that can guide better decisions and smart actions in real time without human intervention’. To obtain benefits of this ever growing field, you can join Machine learning training Center in Lucknow. Machine learning helps in analyzing large amount of data, easing the work of data scientists in an automated process and is gaining a lot of importance and recognition.

SUPERVISED AND UNSUPERVISED MACHINE LEARNING

Machine learning is ‘supervised’, when a data scientist is required to provide input and needed output during algorithm training. In comparison, unsupervised algorithms use an iterative approach termed deep learning, whereby the algorithm can review the data and derive conclusions.

WHAT'S REQUIRED TO CREATE GOOD MACHINE LEARNING SYSTEM

• Data preparation capabilities.
• Algorithms – basic and advanced.
• Automation and iterative processes.
• Scalability
• Ensemble modeling.

EVERYDAY EXAMPLES OF MACHINE LEARNING

An example of machine learning happens while browsing on the Internet. Usually the adverts that we saw relate to purchases or interests. More sophisticated applications of machine learning include use of spam filters that ‘learn’ how to spot and detect scams as spammers, insurance platforms that can spot fraud detection; devices that undertake network security threat detection, which need to learn how to detect the latest viruses; predictive maintenance in the engineering world; and also with building news feeds, in terms of sending tailored content.

WHO ARE USING MACHINE LEARNING?

Machine learning is used in following sectors:

• Financial services
  
• Government
  
• Health care
  
• Marketing and sales
  
• Oil and gas
  
• Transportation
  

WHY MACHINE LEARNING MATTERS

With the rise in big data, machine learning has become a key technique for solving problems in areas, such as:

• Computational finance, for credit scoring and algorithmic trading
• Image processing and computer vision, for face recognition, motion detection, and object detection
• Computational biology, for tumor detection, drug discovery, and DNA sequencing
• Energy production, for price and load forecasting
• Automotive, aerospace, and manufacturing, for  predictive maintenance
• Natural language processing, for voice recognition applications 

HOW BUSINESSES ARE USING MACHINE LEARNING

Machine learning is already forcing massive changes in the way businesses operate. Today, machine learning is helping many businesses to run more efficiently and make more money. Given below are some of the ways businesses are using machine learning today.

Find Products Faster

Today, all businesses need smart search results. To show high-quality content to their users, most successful online businesses employ machine learning. Also, there are some businesses that employ machine-learning strategies to give their online customers the benefits of machine learning when they are browsing for products.

Understand Customer Behavior

Sentiment analysis is something machine learning excels at. In fact, machine learning drives a lot of customer-related decisions today. For example, social media listening through machine learning has become standard operating procedure for many businesses today.

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Created on Nov 15th 2018 01:47. Viewed 341 times.

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