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*DO NOT FOLLOW ME THROUGH THIS REEL. THIS CHANNEL SHARES DATA SCIENCE ORIENTED STUFF. FOLLOWER NOT INTERESTED WILL CONTRIBUTE TO INACTIVE AUDIENCE WHICH I DISCOURAGE.* Viral comments treated as pred
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Despite strike calls highlighted by Dhruv Rathee Zomato and Blinkit still delivered around seventy five lakh New Year orders and the data reveals something deeper than headlines. Output did not fall l
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Netflix acquiring Dhurandhar for β‚Ή285 crore beyond Pushpa 2 became a trending viral moment and a clean lesson in risk adjusted valuation. Using historical analogs scenario probabilities expected value
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Entropy and perplexity in machine learning measure uncertainty in language and prediction systems. Entropy tells how unpredictable a probability distribution is. If all outcomes are equally likely, en
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Geospatial AI combines artificial intelligence with satellite imagery maps GPS data and spatial analytics to understand patterns tied to location. Instead of analyzing isolated data points, geospatial
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Gait recognition in deep learning identifies people by the way they walk rather than by face or fingerprints. Instead of focusing on appearance alone, models learn motion patterns like stride length b
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AARON was one of the earliest AI art systems, created by artist Harold Cohen long before modern generative AI existed. Instead of learning from massive internet datasets like today’s models, AARON fol
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Neural style transfer in deep learning combines the content of one image with the artistic style of another using convolutional neural networks. The model separates high level content features, like s
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Google and ChatGPT solve information in fundamentally different ways. Google is a search engine that retrieves links from the web, ranking pages based on relevance popularity and SEO signals. ChatGPT
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Denoising autoencoders in deep learning learn by reconstructing clean data from corrupted input. Noise is intentionally added to the original data, and the model is trained to remove that noise while
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Generative Adversarial Networks in deep learning work through competition between two neural networks. The generator creates fake images from random noise, while the discriminator tries to distinguish
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Image inpainting in computer vision allows AI to remove objects and realistically reconstruct missing regions by understanding surrounding textures structures and context. Instead of copying nearby pi
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About @databytes_by_shubham

Databytes is a verified Instagram nano influencer. With 3.3K followers and 12 posts, databytes_by_shubham's account shows a follower-to-following ratio of 3253.0:1. View all content anonymously on Pictame - no login required.

databytes_by_shubham's engagement rate sits at 83.81%. That's 1576% above what you'd typically see for accounts with 1K-10K followers (average 5%) β€” a sign of a genuinely connected audience.

Out of the last 12 posts, 100% are videos and 0% are photos. Content shows up about every 14 days. Captions lean detailed, averaging 843 characters.

83.81% engagement rate β€” 1576% above average for 1K-10K follower accounts.
Posts about every 14 days.
3253.0:1 follower-to-following ratio.

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databytes_by_shubham
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@databytes_by_shubham

Databytes

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#shubhamdadhich#databytes#deeplearning#datascience#machinelearning#computervision#generativeai#largelanguagemodels

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#memes#nofilter#flowers#amazing#hair#foodie#travelphotography#sky#nails#moda#video#naturephotography
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