Learner, Practitioner & Teacher
OBJECTIVE From the data on various speeches on artificial intelligence and deep learning given by speakers on various platforms, the objective is to understand the different topics covered in those speeches while understanding the similarities among those speeches. APPROACH After
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As per Bernard Marr, (https://www.youtube.com/watch?v=MtJKnB9m45E) Most of the companies looking for below mentioned 10 important job skills in the era of Industry 4.0, for the next 10-20 years. Data Literacy (Understand data/how to use/ extract insights from data and turns
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As per Benard Marr on his latest book “Tech Trends in Practice” , The below are the top 25 Technology Trends which drives the Industry 4.0, Which transforms the business across the world between 2020-2030 and they are: Artificial Intelligence
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Objective: Understanding the fairness of the complex machine learning algorithms to apply real time scenario with more and clear interpretability. Approach: Without reasonable understanding of how a model or data science pipeline works, real world projects rarely succeed. This study
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Coronavirus (covid-19) cases in Telangana continued to rise, Here is the link to know the status day by day Please click the below link Covid status
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As the world is witnessing an unprecedented outbreak of mass proportions, and all of us are doing our bit by ensuring ‘social distancing’, essentially locking ourselves inside our own homes, totally avoiding social interactions. While our physical office stays closed
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As the world is witnessing an unprecedented outbreak of mass proportions, and all of us are doing our bit by ensuring ‘social distancing’, essentially locking ourselves inside our own homes, totally avoiding social interactions. While our physical office stays closed
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The innovations that data science made the industries Being proactive rather than reactive Earlier reports are static now it’s dynamic and online at that moment It’s not about Volume it’s about value you need to look for Earlier
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Objective One of the leading mobile provider wanted to monitor tweets to find out how their customers felt about their new release of the product features Approach We extracted tweets from twitter and these extracted tweets further pre processed as
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Need We are all aware that machine data – from mobile apps, IoT devices etc are richer and more accurate. With the explosion of devices and data usage, we live in times of unprecedented data. The challenge is in creating
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