Machine Learning with Python
前往频道在 Telegram
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho
显示更多📈 Telegram 频道 Machine Learning with Python 的分析概览
频道 Machine Learning with Python (@codeprogrammer) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 68 579 名订阅者,在 教育 类别中位列第 2 404,并在 印度 地区排名第 4 688 位。
📊 受众指标与增长动态
自 невідомо 创建以来,项目保持高速增长,吸引了 68 579 名订阅者。
根据 25 十月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 227,过去 24 小时变化为 -9,整体触达仍然可观。
- 认证状态: 未认证
- 互动率 (ER): 平均受众互动率为 3.45%。内容发布后 24 小时内通常能获得 1.52% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 2 369 次浏览,首日通常累积 1 042 次浏览。
- 互动与反馈: 受众积极参与,单帖平均反应数为 6。
- 主题关注点: 内容集中在 insidead, learning, degree, evaluation, algorithm 等核心主题上。
📝 描述与内容策略
作者将该频道定位为表达主观观点的平台:
“Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
Admin: @HusseinSheikho || @Hussein_Sheikho”
凭借高频更新(最新数据采集于 26 十月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 教育 类别中的关键影响点。
68 579
订阅者
-924 小时
-237 天
+22730 天
帖子存档
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Repost from Machine Learning
I found a great resource for interactive learning about machine learning and AI – VizLearn.
You can experiment with gradient descent, SVM, PCA, the Bayesian method, BPE tokenization, Q/K/V, KV-cache, quantization, and much more. You can change the input data and see how the calculations themselves change.
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https://vizlearn.in
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Repost from Machine Learning with Python
This channels is for Programmers, Coders, Software Engineers.
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A collection of explanations for key concepts and scientific papers in machine learning:
https://github.com/dair-ai/ML-Papers-Explained
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Repost from Machine Learning
Pandas vs Polars — 14-section course cheatshee
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Repost from Machine Learning with Python
This channels is for Programmers, Coders, Software Engineers.
0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
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Repost from Machine Learning
Uniface
Automate face detection, recognition, and analysis of key facial landmarks with the Uniface Python library.
https://github.com/yakhyo/uniface
https://t.me/MachineLearning9
Repost from Machine Learning
OpenAI researcher Alice Liu went through 57 interviews before being hired, and then openly shared her entire preparation and job search journey.
If you're preparing for Research Scientist or MTS positions, this is one of the most comprehensive resources available.
You can use her notes directly, or simply use the list of topics to study them yourself. This kind of information is rarely published.
Notes on LLMs:
https://alisawuffles.notion.site/alisa-s-book-of-llms
Mathematics:
https://alisawuffles.notion.site/math-notes
Analysis of the job search and interview process:
https://alisawuffles.github.io/blog/job-search/
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#Programming #Coding #Development #Tech #Python #DataScienceRepost from Learn Python Coding
Here's a small fact about Python 🐍
The
:= operator is called the "walrus" because the symbols resemble the eyes and tusks of a walrus 🦭
It was introduced in Python 3.8 and allows you to assign a value to a variable and use it directly within the expression at the same time.
For example:
while (line := input("Say something: ")) != "quit":
print(f"You said: {line}")
Without it, you would have to retrieve the value separately using input(), and then check it.
Have you ever used the := operator in your code?
#Python #Programming #WalrusOperator #Coding #TechFacts #Python3
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