Category Machine Learning

Benefits of Machine Learning|ML in Businesses

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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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Six Important Steps of Composing Data| Machine Learning

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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

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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

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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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Machine Learning Trends 2021

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Machine Learning has become incredibly popular in today’s times. Starting from smart devices, social media platforms, Amazon’s Alexa, Google Home, and other AI devices all need ML and IoT. Machine Learning has brought cutting-edge solutions to modern-day functions and facilities. In this blog, we discuss the Machine Learning trends in 2021, that are going to reshape our world and business workings.

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Future of Machine Learning|Evolving Technologies

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Artificial Intelligence & Machine Learning are the buzzwords today. Technologies are constantly evolving with advancements in Machine Learning. For instance, facial recognition in mobile phones, automated cars, language translation, etc. is all possible due to the massive developments in computer vision and Natural Language Processing (NLP). In this blog, we discuss the future of Machine Learning.

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Impact of Artificial Intelligence & Machine Learning on COVID-19

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Artificial intelligence or AI is responsible for smart machines that can perform tasks that otherwise require human intervention. The world is struggling to combat COVID-19 and innovative technologies could bring a solution to this pandemic. AI is one such technology that can help us overcome the coronavirus pandemic which has changed how we function entirely. Emerging technologies like Artificial Intelligence and Machine Learning can be used to predict pandemics further and also track the COVID-19 crisis we are going through. Read this blog, to find out how AI and Machine Learning can impact the COVID-19 Pandemic.

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Chatbots in Educational Mobile Apps | Online Learning

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Education has drastically changed with emerging technologies. The way students are taught and the way they learn differ from what it used to be earlier. Internet services in education have shifted teaching and learning mechanisms. It has introduced a new tool for education such as online teaching platforms, and educational mobile apps. Nowadays, there are many mobile apps for students of various age groups to supplement their academic classes.

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AI & Machine Learning in Cyber Security | Cyber Security Challenges

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What is Cyber Security?

Cyber Security basically means to protect computing systems, programs, and networks from digital or cyber-attacks. Cyber attackers attack networks and systems to obtain sensitive information or to destroy information, illegally extort money, access or change information, and interrupt regular business operations among many other reasons.

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Shifting to Digital Healthcare in Asia | Regulatory Challenges in Asia

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Digital Healthcare

Healthcare markets today is what FinTech industry looked like five years ago. Digital health is still in a nascent stage and one of the crucial lessons that we can learn and apply from the finance world is democratizing the data. Over four years it’s been seen that a determined ecosystem is growing in this space. Similar to what we have also witnessed in the past, the same trend with e-commerce industry.

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