Author Archives: Shraddha Goled - Page 71

02 Nov

How Can AI & IoT Data Help Streamline Vehicle Rental Services?

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image-17256

In the last decade, app-based vehicle hire systems have gained immense popularity. Given the traffic congestion situation in bigger cities such as Bangalore and Mumbai, even people owning vehicles prefer opting for these services because of cost and comfort. While these on-hire vehicles market has been dominated mainly by 4-wheelers, a new crop of organisations…

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01 Nov

Exploratory Data Analysis: Functions, Types & Tools

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image-17247

Discovered in the 1970s by American mathematician John Tukey, exploratory data analysis (EDA) is a method of analysing and investigating the data sets to summarise their main characteristics. Scientists often use data visualisation methods to discover patterns, spot anomalies, check assumptions or test a hypothesis through summary statistics and graphical representations. EDA goes beyond the…

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01 Nov

Technology In Insurance Sector: Past, Present & Future

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Shilpi Bhabhra, head of the Analytics and Data Sciences at Acko General Insurance, was one of the guest speakers on the day 1 of the Deep Learning DevCon 2020 (DLDC 2020). Like the topic of her talk, ‘Who Priced My Insurance’, the content was equally engaging. Through her talk, she shed light on how digital…

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01 Nov

What Are The Scope and Challenges of Using AI in Military Operations

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Artificial intelligence has penetrated almost all civilian industries that one can think of. It has transformed the way individuals and businesses work, and now it is quickly making its way in becoming a critical part of modern warfare.  The strength of its army is one of the factors indicating how powerful the country is. In…

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30 Oct

Types of Regularization Techniques To Avoid Overfitting In Learning Models

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Regularization is a set of techniques which can help avoid overfitting in neural networks, thereby improving the accuracy of deep learning models when it is fed entirely new data from the problem domain. There are various regularization techniques, some of the most popular ones are — L1, L2, dropout, early stopping, and data augmentation. Why…

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28 Oct

What is Data Leakage in ML & Why Should You Be Concerned

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image-17157

Imagine this scenario — you have tested your machine learning model well, and you get absolutely perfect accuracy. Happy with a job well done, and then decide to deploy your project. However, when the actual data is applied to this model, you get poor results. So, why did this happen? The possible reason for this…

The post What is Data Leakage in ML & Why Should You Be Concerned appeared first on Analytics India Magazine.

28 Oct

Top JavaScript-Based Machine Learning Frameworks

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image-17144

While Python and C++ programming languages have become a popular choice when it comes to machine learning framework, JavaScript is not too far behind. Looking around, one may find that JavaScript frameworks have also been implemented in AI. In fact, as per the GitHub review of best machine learning technologies, JavaScript occupies the third position…

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27 Oct

The Politics of End To End Encryption

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image-17136

Last week, Zoom Video Communications announced that the company would be rolling out end-to-end encryption (E2EE) service for all its users. Earlier this facility was available only to paid accounts. With this announcement, Zoom joins a long list of communication platforms that includes WhatsApp and Telegram to use E2EE to ensure that any unauthorised third-party…

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27 Oct

How To Prepare For Google Cloud Architect Certification Exam

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image-17134

Cloud computing is one of the fastest-growing industries in India and around the world. Being an integral part of the IT infrastructure for companies worldwide, Cloud computing is expected to generate about a million jobs by 2022. Reportedly, up to 83% of enterprise workloads have either already adopted cloud or are in the process of…

The post How To Prepare For Google Cloud Architect Certification Exam appeared first on Analytics India Magazine.

26 Oct

Microsoft Releases Gaze-Tracking System That Works On Any Device

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image-17112

The researchers at Microsoft have developed an AI-based gaze tracking system that works on any device. This system is correctly dubbed as ‘hardware-agnostic’, given its ability to function on any type of device; further, the researchers believe that such a feature would now lay the groundwork for developing prediction capabilities of deep neural networks to…

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