MLT Artificial Intelligence

MLT Artificial Intelligence ✓

YouTube @mltokyo Lifestyle (sociology) 📍 United States
Visit YouTube 💰 Sponsor MLT Artificial… 🤝 Collab with MLT Artificial… 🎤 Book Event Appearance ⚔ Compare ☆ Watch Own this channel?
Subscribers
11.1K
🔥 Buzz rank
#46,136 ▼33035
Total Views
329.1K
Videos
150
Channel age
8 yrs
Est. monthly earnings
$6 – $13
How we estimate
~1.7K recent monthly views × an estimated ad RPM of $3.85–$7.43 per 1,000 views — adjusted for Lifestyle (sociology) content and a US audience. Yearly ≈ $72 – $156. Excludes sponsorships, memberships & merch. Full methodology →

Known for

Transformers with Lucas Beyer, Google Brain18.8K views Transformers with Lucas Beyer, Google Brain Deep Learning with Python: What is deep learning? (Chapter 1)7.3K views Deep Learning with Python: What is deep learning? (Chapter 1) A rigorous introduction to probability theory: Lecture 1 with Michal Fabinger6.7K views A rigorous introduction to probability theory: Lecture 1 with Michal Fabinger A Practical Tutorial on Building Machine Learning Demos with Gradio5.4K views A Practical Tutorial on Building Machine Learning Demos with Gradio

▶️ Featured Video

18.8K views

📈 Performance

Typical video
415–1.5K views
Median 822 — the reliable floor a brand can expect, not just the headline average.
Upload rhythm
0.2× / week
Most active on Sundays — consistent output keeps an engaged, sponsor-ready audience.
1.7K
Avg views / video
41
Avg likes
1
Avg comments
2.53%
Engagement rate
0.2
Uploads / week
2.2K
Lifetime avg / video
30
Views / subscriber
0%
Shorts (recent views)
Engagement rate = (likes + comments) ÷ views across recent videos.

💡 Did you know?

🗓️Joined YouTube in 2018 — 8 years ago.
🏆Ranked #8,540 among all influencers on SocialDB.
🎯Top Lifestyle (sociology) influencer — #1,800 in the niche.
👁️Averages 1.7K views per video.
📤Posts about 0.2× per week.
💬2.53% engagement rate.
📍Based in United States.

🛡️ Audience credibility

76/100 Good
  • Est. 85% real, active audience · Low fake-follower risk.
  • Healthy view-through — roughly 15% of subscribers watch each video.
  • 2.53% engagement — around average for this size.
Est. authentic audience
85%
Fake-follower risk
Low

Heuristic estimate from view-through, engagement vs size and recent growth — a screening signal, not a guarantee.

👥 Audience demographics

Estimated

Modeled from this creator's niche, platform & region — a planning estimate, not connected analytics.

Gender split
Male 21% Female 79%
Age · peak 18-24
13-178%
18-2432%
25-3431%
35-4416%
45+13%
Top geographies
  • United States46%
  • United Kingdom8%
  • Canada7%
  • Australia4%
  • India5%
Likely interests
EntertainmentLifestyleTrending

💚 Brand affinity

Estimated

Brands MLT Artificial Intelligence's audience is most likely to respond to — from detected sponsorships in this niche.

Amazon Affiliate Keeps Patreon Shopify Nebula BetterHelp Audible Genshin Impact Surfshark Incogni

About

Machine Learning Tokyo is an AI community dedicated to democratizing Machine Learning through Open Education, Open Source and Open Science. Led by Suzana Ilić.

📸 Gallery

Anatomy of a CLAW -- OpenClaw, XpressClaw, NanoClaw, Pi Agent, Hermes How AI governs itself with a Constitution Building Claude Skills: From One-Shot Agents to Context-Efficient Apps UPCOMING MLT TALKS NOVEMBER/DECEMBER 2025 AI TALKS: SPEAKERS NOVEMBER 2025 gpt-oss Deep Dive with Xiaoli Alex Shen Cracking the Code: How Large Language Models (LLMs) Really Work --- mini-AI podcast episode Demystifying AI: How Machines Learn from Data to Make Sense of the World -- mini-AI podcast episode

Recent videos

Anatomy of a CLAW -- OpenClaw, XpressClaw, NanoClaw, Pi Agent, Hermes
484 views · 2 months ago
How AI governs itself with a Constitution
60 views · 3 months ago
Building Claude Skills: From One-Shot Agents to Context-Efficient Apps
409 views · 7 months ago
UPCOMING MLT TALKS NOVEMBER/DECEMBER 2025
109 views · 7 months ago
AI TALKS: SPEAKERS NOVEMBER 2025
174 views · 8 months ago
gpt-oss Deep Dive with Xiaoli Alex Shen
1.1K views · 10 months ago
Cracking the Code: How Large Language Models (LLMs) Really Work --- mini-AI podcast episode
96 views · 11 months ago
Demystifying AI: How Machines Learn from Data to Make Sense of the World -- mini-AI podcast episode
72 views · 11 months ago
From Apples to Atoms: Intro to Physics --- mini-AI podcast episode
102 views · 11 months ago
Transformers with Lucas Beyer, Google Brain
18.8K views · 3 years ago
MLT __init__ Session #17: LLM int8
2.3K views · 3 years ago
Text-to-Image Generation – Deep Dive into DALL-E 2, Imagen, Parti, VQGAN with Jerry Chi
2.4K views · 3 years ago

🔀 Audience overlap

Estimated

Estimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.

Flex Wheeler Flex Wheeler 61% Great Tube Great Tube 61% Dreamset Services Dreamset Services 58% clipsetplus clipsetplus 58% Cube Sites Cube Sites 55% Fifth Gear Classic Fifth Gear Classic 55%

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