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DataSpoof

DataSpoof

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Learn Data Science https://dataspoof4081.graphy.com/membership Artificial Intelligence Machine Learning Data Science Deep learning Computer vision NLP Big data

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πŸ“ˆ Analytical overview of Telegram channel DataSpoof

Channel DataSpoof (@dataspoof) in the English language segment is an active participant. Currently, the community unites 16 133 subscribers, ranking 12 548 in the Education category and 26 541 in the India region.

πŸ“Š Audience metrics and dynamics

Since its creation on Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 16 133 subscribers.

According to the latest data from 22 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -144 over the last 30 days and by -5 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 7.89%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 0 views. Within the first day, a publication typically gains 0 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 0.
  • Thematic interests: Content is focused on key topics such as api, llm, pipeline, +9183182, engineer.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œLearn Data Science https://dataspoof4081.graphy.com/membership Artificial Intelligence Machine Learning Data Science Deep learning Computer vision NLP Big data”

Thanks to the high frequency of updates (latest data received on 23 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.

16 133
Subscribers
-524 hours
-277 days
-14430 days
Posts Archive
DataSpoof
16 133
photo content

DataSpoof
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All algorithm related to machinelearning and deep learning
All algorithm related to machinelearning and deep learning

DataSpoof
16 133
Today you can learn from the best people in your field at no cost I especially enjoy books written by practitioners: their books are fun to read, useful, and contain no fluff. Here are 3 great ones you can get for free: FastAI deep learning framework by Jeremy Howard https://github.com/fastai/fastbook Approaching almost any machine learning problem ebook Pdf link- https://github.com/abhishekkrthakur/approachingalmost Bayesian method for hackers Pdf link https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

DataSpoof
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goldberg_2017_book_draft.pdf

DataSpoof
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Unpopular opinion: NLP as a field is moving at a break-neck speed how to get a good hang of it? many asked. While Github Repo
Unpopular opinion: NLP as a field is moving at a break-neck speed how to get a good hang of it? many asked. While Github Repos, MOOCs, videos, papers, datasets, code, and medium posts are good sources, you can't chase millions of them. The trick is to nail the basics down and accelerate your learning speed. It really pays to get your basics right. I recommend this brilliant book. I got all my Neural-NLP basics and advanced lessons from this book, still use it as a reference. (By all means, add other resources, if a particular topic is missing. ). The book is pricey but fortunately, I have a free PDF for you.

DataSpoof
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Python for data analysis.pdf12.52 MB

DataSpoof
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Fill the emails who has participated in the giveaway https://forms.gle/vf1mPCChpEXAuD4JA
Fill the emails who has participated in the giveaway https://forms.gle/vf1mPCChpEXAuD4JA

DataSpoof
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DataSpoof
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Giveaway Alert πŸ“’ 🚨🚨🚨🚨 Like and comment on this post and follow us on LinkedIn. This is a surprise giveaway and it is distributed when we reach 100+likes. The giveaway will be send on 10th June 2021 https://www.linkedin.com/posts/data-spoof_machinelearning-deeplearning-datascience-activity-6807196663711641600-Fhff

DataSpoof
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How AI technologies are being used to better understand retinal diseases AIRA, an artificial intelligence retina analyser, is the result. Being a pattern recognition use case, AI was the obvious solution. PixelPlex was originally given a β€˜large array’ of data containing images from fundus cameras, which contained various symptoms and anatomical structures of the human eye, from hemorrhages to arteries and veins. The company added its own data sets from later research, to be used in neural network training. https://artificialintelligence-news.com/2021/05/28/how-ai-technologies-are-being-used-to-better-understand-retinal-diseases/

DataSpoof
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CHEATSHEETS for Convolutional neural network.
CHEATSHEETS for Convolutional neural network.

DataSpoof
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photo content

DataSpoof
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Everyday we tweet about AI news on Twitter

DataSpoof
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You can follow us on Twitter to get more news related to ArtificialIntelligence, Data science and other technologies. https://twitter.com/Abhi007si/status/1395698202309922816?s=19

DataSpoof
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High level data science roadmaps in 2021 Learn all the skills mention above
High level data science roadmaps in 2021 Learn all the skills mention above