Author Archives: Ekta Shah

20 Sep

How Do OTT Platforms Mute Background Songs From Network Shows?

Network shows are broadcasted on their respective OTT platforms these days. This simply gives an additional benefit to the user for watching their favourite shows at any time in spite of missing out on the live broadcast. With providing the users access to this content, there comes a serious issue of copyrights to digital songs…

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21 Aug

Naive Bayes – Why Is It Favoured For Text Related Tasks?

We receive a large number of emails everyday. They contain a mix of spam and non-spam emails. Automated email filtering for the classification of spam and non-spam emails is a very important application. Finding out the sentiment around a certain amount of text helps determine the perception of a product or an event or similar…

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19 Jul

How Recommendation Systems Have Transformed Over Years

Watched Netflix and Prime in my free time – the “new” normal for everyone. Netflix and Prime have such engrossing content that keeps us glued to the screen all the time. There is a section on both of these platforms which displays the recommended content on the basis of the previous content that you have…

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16 Jun

COVID 19 Impact On Machine Learning Models

A lot of business processes are functioning with the help of data science implementations, i.e. machine learning models, time series models, AI solutions etc. These models take into consideration the historical data as well as past trends. In the Pre-COVID arena, all models were working well with the changing environment. All predictions were serving the…

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13 Apr

Do You Actually Need To Write Your Own Image Classification Network?

Today, Image classification has found widespread use in many industries and across verticals. Everyone is taking up tasks involving image classification and utilizing the benefits of neural networks. Image classification is done with the help of Convolutional Neural Networks.  Convolutional Neural Networks use various convolution layers, pooling layers, batch normalization and fully connected layers to…

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16 Mar

Reinforcement Learning In Finance – A Newbie In Portfolio Selection And Allocation

image-10846
image-10846

Ever heard about financial use cases of reinforcement learning, yes but very few. One such use case of reinforcement learning is in portfolio management. Earlier Markowitz models were used, then came the Black Litterman models but now with the advent of technology and new algorithms, reinforcement learning finds its place in the financial arena. Portfolio…

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