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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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DataSpoof (@dataspoof) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 16 133 obunachidan iborat bo'lib, Taʼlim toifasida 12 548-o'rinni va Hindiston mintaqasida 26 541-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 16 133 obunachiga ega bo‘ldi.

22 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -144 ga, so‘nggi 24 soatda esa -5 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 7.89% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining N/A% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 0 marta ko‘riladi; birinchi sutkada odatda 0 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 0 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent api, llm, pipeline, +9183182, engineer kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
Learn Data Science https://dataspoof4081.graphy.com/membership Artificial Intelligence Machine Learning Data Science Deep learning Computer vision NLP Big data

Yuqori yangilanish chastotasi (oxirgi ma’lumot 23 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Taʼlim toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

16 133
Obunachilar
-524 soatlar
-277 kunlar
-14430 kunlar
Postlar arxiv
DataSpoof
16 133
Regression trees are often use to model ________ data.
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DataSpoof
16 133
Suppose we would like to perform clustering on spatial data such as the geometrical locations of houses. We wish to produce clusters of many different sizes and shapes. Which of the following methods is the most appropriate?
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16 133
The search algorithm which is similar to the minimax search, but removes the branches that don't affect the final output is known as__
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16 133
Power BI _ tutorials.pdf7.96 MB

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16 133
Learn PowerBI tutorials

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16 133
Classification problems are distinguished from estimation problems in that
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16 133
Which of the following is true about Residuals?
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16 133
Which of the following is a good test dataset characteristic?
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16 133
Which of the following is well suited for perceptual tasks?
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16 133
In following type of feature selection method we start with empty feature set
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16 133
More than 70+ cheatsheets related to data science, machine learning, deep learning and computer vision in python and R progra
More than 70+ cheatsheets related to data science, machine learning, deep learning and computer vision in python and R programming language. https://www.theinsaneapp.com/2020/12/machine-learning-and-data-science-cheat-sheets-pdf.html

DataSpoof
16 133
Emailing Tableau Cheatsheet

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16 133
Which of the following is FALSE about Batch Normalization?
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16 133
Curated papers, articles, and blogs on data science & machine learning in production. https://github.com/eugeneyan/applied-ml

DataSpoof
16 133
Transforming Brain Waves into Words with AI New research out of the University of California, San Francisco has given a paralyzed man the ability to communicate by translating his brain signals into computer generated writing. The study, published in The New England Journal of Medicine, marks a significant milestone toward restoring communication for people who have lost the ability to speak.  https://www.ucsf.edu/news/2021/07/420946/neuroprosthesis-restores-words-man-paralysis

DataSpoof
16 133
Which of the following is a way to avoid local minima?
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16 133
High entropy means that the partitions in classification
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16 133
Machine Learning Cheatsheet _ Follow DataSpoof.pdf1.25 MB