Category Machine Learning

Reasons to Learn Machine Learning | ML – A Smart Career Move!

Today, technologies such as artificial intelligence (AI) and machine learning (ML) have become so intertwined in our lives that it is difficult to fathom a future without them. Consider smart virtual assistants (Siri and Alexa), recommendation engines on online purchasing platforms (Amazon and Netflix), self-driving cars, and smart homes, which are all examples of machine learning applications. Certainly, the incorporation of these innovative technical breakthroughs has made our lives a lot easier. We tell you why taking up machine learning is a good career move!

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Guide on Ethical Hacking|Cyber Security

Hacking is a rapidly spreading global epidemic. Hackers are technically skilled individuals who alter data to manage networks with the purpose of breaching and stealing sensitive data. But, once again, not all hackers are evil. In this post, we will look at the benefits and drawbacks of ethical hacking.

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Benefits of Machine Learning|ML in Businesses

Machine Learning is a modern tool that has the capacity to extract important business insights from raw data. Depending on the complexity and richness of important sources, this data can be structured or unstructured. However, all credit belongs to the ML algorithms that have been assisting firms in revealing hidden information in a non-explicit manner. In this blog, we look at some interesting statistics and facts gleaned from several standard reports.

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Digital Talent Strategies | Building a Digital Ecosystem with Intelligent Automation

Is it possible for conventional talent strategies to keep up as digital technologies begin to infiltrate the talent resourcing space? The answer to this is mostly a no. With advanced Analytics, Robotic Process Automation (RPA), Intelligent Automation (IA), Artificial Intelligence (AI), and Machine Learning now drive a significant portion of such tasks. In this blog, we talk about a digital ecosystem for building talent strategies.

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Six Important Steps of Composing Data| Machine Learning

You may have been aware that data is the most important component for any machine learning activity. We start with data that is being fed to an algorithm that extracts patterns and important information from the data and puts it all in a model. As a result, data is the starting point for machine learning. in this blog, we tell you about six important steps of composing data for Machine Learning.

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How Algorithms Dictate Our Lives Today?|Algorithm AI

The internet has become a mob of robotic voyeurs, waiting to watch what we’ll do next, from newsfeeds to Netflix, credit ratings to bail, personality tests to insurance to wine. These days, it appears that everything is controlled by an algorithm. In this blog, we discuss how everything in today’s world is dictated by algorithms.

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How Companies are Using Machine Learning? | Machine Learning

Machine learning has quickly gained huge popularity in the technology sphere. It is headed for a major growth explosion in the upcoming years. Back in the year 2016, Machine Learning had crossed the $1 billion mark. Experts believe that the Machine Learning market will hit $96 billion by 2025. There are numerous predictions and research analyses being carried out on the size of the Machine Learning Market. In this blog, we discuss how companies are using Machine Learning.

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