Рома Филонов | AI, больно YouTube channel thumbnail

Subscribers 4.3K

Videos 46

Views 300.7K

Channels Like Рома Филонов | AI, больно

Рома Филонов | AI, больно offers educational ML content focused on fundamentals, NLP, CV, and AI interview preparation. Video titles and the channel description emphasize tutorials, explanations of ML concepts (e.g., gradient descent, tokenization, NLP/Large Language Models), career guidance, and interview-focused material. The channel publishes ~0.5 videos per week with an average of about 8.8K views per video, based on recent uploads averaging around 17 minutes each.

AI summary

Similar Channels

We found 49 YouTube channels similar to Рома Филонов | AI, больно

IBM Technology YouTube channel thumbnail

#1

IBM Technology view on YouTube ▶

88% relevance

Subscribers 1.6M

Videos 1.5K

Views 108.6M

Appearances 31

SERP 100%

Similarity 81%

machine learning fundamentals natural language processing gradient descent explained

Both target audiences interested in machine learning fundamentals, NLP, and gradient descent explanations; IBM’s content aligns with high-search overlap and similar topics, yielding a strong 88% match in queries and 81% in content.

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freeCodeCamp.org YouTube channel thumbnail

#2

freeCodeCamp.org view on YouTube ▶

63% relevance

Subscribers 11.5M

Videos 2.1K

Views 954.1M

Appearances 16

SERP 40%

Similarity 79%

machine learning fundamentals natural language processing ml interview questions

Shared focus on ML fundamentals, NLP, and ML interview questions; high search overlap with long-form educational content, giving a 63% match overall and content similarity around 79%.

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#3

Simplilearn view on YouTube ▶

63% relevance

Subscribers 6.1M

Videos 10K

Views 509.1M

Appearances 19

SERP 46%

Similarity 74%

machine learning fundamentals natural language processing ml interview questions

Compares on ML fundamentals, NLP, and ML interview prep; strong audience overlap via searches and similar instructional style, resulting in a 63% match with 74% content similarity.

AI summary

Infinite Codes YouTube channel thumbnail

#4

Infinite Codes view on YouTube ▶

60% relevance

Subscribers 128K

Videos 40

Views 4.7M

Appearances 9

SERP 31%

Similarity 79%

machine learning fundamentals ml interview questions gradient descent explained

Both cover ML fundamentals and ML interview questions; similar target topics, but Infinite Codes has slightly lower search alignment yet high content similarity (79%).

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#5

Marina Wyss - AI & Machine Learning

57% relevance

Subscribers 128K

Videos 88

Views 3.8M

Appearances 6

SERP 22%

Similarity 80%

ml career guidance ml career paths ml interview prep topics

Shares ML career guidance, paths, and interview prep topics, attracting a similar audience interested in professional ML learning, yielding 57% match with high content overlap (80%).

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#6

AssemblyAI

56% relevance

Subscribers 180K

Videos 412

Views 16.5M

Appearances 5

SERP 28%

Similarity 75%

ml model evaluation metrics model evaluation metrics overfitting prevention tips

Related through ML model evaluation metrics and general evaluation topics; overlap in search terms is moderate and content is aligned around evaluation and overfitting tips (56% match, 75% content).

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Content Landscape

Discovered competitors include IBM Technology (88% match) and freeCodeCamp.org (63% match) as top rivals. IBM Technology centers on machine learning fundamentals, NLP, and gradient descent explanations, while freeCodeCamp.org covers machine learning fundamentals, NLP, and ML interview questions—topics that overlap directly with Рома Филонов | AI, больно. Simplilearn (63% match) also competes on similar queries like ML fundamentals and ML interview questions. In terms of audience size, Рома Филонов has 4.3K subscribers, which is smaller than all three top competitors (IBM Technology with 1.6M, freeCodeCamp.org with 11.5M, Simplilearn with 6.1M). All identified competitors share overlapping search queries around ML basics, NLP, and interview prep, making them direct substitutes for viewers seeking foundational ML and interview content.

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Video Highlights

Didn't Make the Cut

43 additional channels that were close

Rank	Relevance	Channel	Similarity	Subscribers	SERP	Appearances
#7	54%	3Blue1Brown ▶	75%	8.2M	24%	9
#8	54%	Stanford Online	80%	1.1M	16%	10
#9	54%	NeuralNine ▶	79%	461K	17%	8
#10	54%	Shaw Talebi	83%	91.2K	11%	5
#11	54%	Zen van Riel ▶	83%	29K	11%	3
#12	54%	AI For Beginners ▶	79%	26.2K	16%	3
#13	53%	StatQuest with Josh Starmer ▶	72%	1.6M	25%	12
#14	53%	Matt Pocock ▶	83%	175K	9%	3
#15	52%	codebasics	77%	1.5M	16%	8
#16	52%	TensorFlow	75%	617K	18%	6
#17	52%	Annie Sexton	82%	5.6K	8%	3
#18	52%	Exponent ▶	74%	481K	19%	7
#19	51%	Visually Explained	74%	79.7K	16%	3
#20	51%	Google Cloud Tech	76%	1.4M	13%	3
#21	51%	Learn Management Online (Michael James)	80%	2.3K	6%	1
#22	50%	Egor Howell ▶	79%	67.7K	8%	4
#23	50%	Daniel	79%	5.4K	6%	1
#24	50%	Programming with Mosh ▶	75%	5.0M	13%	7
#25	50%	Jay Feng	76%	58.5K	11%	8
#26	50%	Fireship ▶	77%	4.1M	10%	6
#27	49%	The Coding Sloth ▶	78%	593K	7%	2
#28	49%	DataMListic	76%	52.2K	9%	4
#29	49%	AI Sciences	76%	36.8K	9%	2
#30	49%	NextGen AI Explorer	76%	1.0K	7%	2
#31	49%	Easy Learning	76%	9.9K	8%	1
#32	49%	Code That Hacks	76%	1.1K	7%	2
#33	49%	Under The Hood	77%	16.9K	7%	2
#34	48%	Kaggle	76%	355K	6%	1
#35	48%	edureka! ▶	74%	4.4M	10%	6
#36	48%	Intellipaat	69%	12.8M	16%	3
#37	48%	Analytics Vidhya	74%	150K	9%	4
#38	48%	ForrestKnight ▶	74%	688K	8%	4
#39	47%	CrashCourse ▶	68%	16.9M	14%	3
#40	46%	NStatum	73%	1.7K	6%	1
#41	46%	HEP Software Foundation	71%	1.8K	8%	1
#42	46%	Blockchain Animations	71%	2.5K	8%	2
#43	46%	WPTuts	66%	185K	15%	2
#44	44%	Note Flicks	69%	24.1K	7%	2
#45	43%	Lex Clips	64%	1.6M	11%	3
#46	42%	Computational Thinking	66%	5.2K	7%	2
#47	42%	The Engineering Mindset ▶	62%	4.3M	12%	3
#48	42%	CodeLucky ▶	64%	7.4K	9%	5
#49	42%	Chris McFeely	64%	260K	8%	6

Search Queries Used

machine learning fundamentals natural language processing computer vision basics ml interview questions gradient descent explained tokenization in ml llm deployment best practices ai model scaling limits mixture of experts explained ml model evaluation metrics nlp transformer models ml career guidance ai coding assistants ml tooling and frameworks rapid ML tutorials ml fundamentals overview ml career paths cv fundamentals nlp basics guide data science interview questions gradient descent intuition tokenization explained transformer basics model evaluation metrics overfitting prevention tips regularization techniques ml hyperparameter tuning guide deploy ml models edge ai deployment ai coding assistants use ml tooling overview cv neural networks basics nlp tasks overview ml interview prep topics ai ethics in development

Frequently Asked Questions

Which YouTube channels are most similar to Рома Филонов | AI, больно?

IBM Technology (88% match, 1.6M subscribers), freeCodeCamp.org (63% match, 11.5M subscribers), Simplilearn (63% match, 6.1M subscribers) are Рома Филонов | AI, больно's biggest YouTube competitors. They share a focus on tech topics, AI, and programming education, appealing to viewers interested in AI and software development.

What type of content does Рома Филонов | AI, больно make?

The channel creates AI and machine learning–related content, with video titles such as Stanford Turned Claude into the Best AI Search Agent, Who Actually Needs Hermes When You Have Codex and Claude Code, Yandex NLP, LLM, and AI Interview, How Gradient Descent Works: The Difference Between SGD, Adam, and AdamW, and Python in ML: The Essentials Everyone Should Know. It uploads about 0.5 videos per week, and the average video view count is around 8.8K.

How do we determine which channels are similar to Рома Филонов | AI, больно?

We analyze Рома Филонов | AI, больно's recent videos, generate topic-relevant search queries, check YouTube search results, and compare the meaning of each channel's content to measure similarity. The result is a ranked list sorted by SERP overlap, semantic similarity, and search appearances.

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