Loading video...

Video Failed to Load

Go Home

1. Machine Learning Specialization. Break Into AI with this 3-course program by Andrew Ng. What You’ll learn: → Build ML models → Train neural networks → Deep reinforcement learning → Unsupervised learning techniques 🔗

HeyAbhishek's profile picture

Abhishek

109,228 subscribers

364,242 views • 1 year ago •via X (Twitter)

Health & WellnessEducationScience & Technology
LIVE

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

1. Machine Learning Specialization Break into AI with this 3-course program by Andrew Ng. What you’ll learn: → Build machine learning models → Train neural networks → Deep reinforcement learning → Unsupervised learning techniques 🔗
0:10

1. Machine Learning Specialization Break into AI with this 3-course program by Andrew Ng. What you’ll learn: → Build machine learning models → Train neural networks → Deep reinforcement learning → Unsupervised learning techniques 🔗

Amit

55,462 views • 5 months ago

when machine learning turn into deep learning.
0:12

when machine learning turn into deep learning.

NZ ☄️

158,425 views • 3 months ago

2. Machine Learning with Python Topics: • ML problem principles • Implement & analyze models • Choosing suitable models for different apps • ML project implementation: Training, validation, tuning, and feature engineering 🔗
0:14

2. Machine Learning with Python Topics: • ML problem principles • Implement & analyze models • Choosing suitable models for different apps • ML project implementation: Training, validation, tuning, and feature engineering 🔗

Shruti

664,393 views • 2 years ago

#ScikitLearnMooc, a free Machine Learning course taught by scikit-learn core developers and #opensource! Accessible to anybody with basic #Python programming skills. Course starts on Nov. 8. Register now on
0:13

#ScikitLearnMooc, a free Machine Learning course taught by scikit-learn core developers and #opensource! Accessible to anybody with basic #Python programming skills. Course starts on Nov. 8. Register now on

Inria Learning Lab

13,120 views • 2 years ago

THIS APP IS CRAZY. Coursiv is generating $200K/month by teaching how to use AI. It turns learning complex AI tools into an income-generating journey. It uses deep personalization, interactive learning, and smart monetization. Breaking it down 👇🧵 (1/19)
0:10

THIS APP IS CRAZY. Coursiv is generating $200K/month by teaching how to use AI. It turns learning complex AI tools into an income-generating journey. It uses deep personalization, interactive learning, and smart monetization. Breaking it down 👇🧵 (1/19)

Siro

121,965 views • 1 year ago

Robot paper of the day: RoboBallet: Planning for multirobot reaching with graph neural networks and reinforcement learning UCL + Google DeepMind + Intrinsic built an AI planner that choreographs teams of arms to work in tight spaces without collisions—planning in seconds, not days.
0:10

Robot paper of the day: RoboBallet: Planning for multirobot reaching with graph neural networks and reinforcement learning UCL + Google DeepMind + Intrinsic built an AI planner that choreographs teams of arms to work in tight spaces without collisions—planning in seconds, not days.

Jiafei Duan

15,084 views • 9 months ago

Machine Learning!
0:10

Machine Learning!

Umesh

50,417 views • 8 months ago

⚡Physics-Informed Neural Networks (PINN)⚡ PINNs are neural networks that are trained to solve supervised learning tasks while respecting any given laws of physics described by general nonlinear partial differential equations. 👉 Full Tutorial:
0:10

⚡Physics-Informed Neural Networks (PINN)⚡ PINNs are neural networks that are trained to solve supervised learning tasks while respecting any given laws of physics described by general nonlinear partial differential equations. 👉 Full Tutorial:

Jousef Murad

292,120 views • 2 years ago

define 'machine learning'
0:12

define 'machine learning'

MΛRC VIDΛL

142,446 views • 3 years ago

If AI can build this, learning design today is a waste of time 😭
0:16

If AI can build this, learning design today is a waste of time 😭

ALX 🇺🇸

1,700,281 views • 18 days ago

If AI can build this, learning design today is a waste of time 😭
0:12

If AI can build this, learning design today is a waste of time 😭

ALX 🇺🇸

1,129,024 views • 12 days ago

Ever had a perfect image in mind that a text-to-image model just couldn't capture? Our new reinforcement learning agent, PASTA, turns image generation into a collaborative conversation, learning your style to bring your vision to life. Learn how it works:
0:19

Ever had a perfect image in mind that a text-to-image model just couldn't capture? Our new reinforcement learning agent, PASTA, turns image generation into a collaborative conversation, learning your style to bring your vision to life. Learn how it works:

Google Research

25,808 views • 8 months ago

Machine Learning Crash Course by Google - 25 Lessons - 30+ Exercises - Real-world applications - Interactive Visualization - Taught by Google Research Team All of this is 100% FREE Course link 🧵👇
0:18

Machine Learning Crash Course by Google - 25 Lessons - 30+ Exercises - Real-world applications - Interactive Visualization - Taught by Google Research Team All of this is 100% FREE Course link 🧵👇

Afiz ⚡️

166,859 views • 2 years ago

Haven't been to a conference in a while, really excited to be at #NeurIPS2024! I'll be helping present 4 of our group's recent papers: 1. Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL 2. Distributional Successor Features Enable Zero-Shot Policy Optimization 3. Learning to Cooperate with Humans using Generative Agents 4. Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning Find more details on each paper and where to find us in this thread (1/6)
0:25

Haven't been to a conference in a while, really excited to be at #NeurIPS2024! I'll be helping present 4 of our group's recent papers: 1. Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL 2. Distributional Successor Features Enable Zero-Shot Policy Optimization 3. Learning to Cooperate with Humans using Generative Agents 4. Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning Find more details on each paper and where to find us in this thread (1/6)

Abhishek Gupta

10,777 views • 1 year ago

Epic Games released the Machine Learning Deformer Sample for Unreal Engine 5.2, which demonstrates how the engine's ML technology can help create a character with deformations driven by full muscle, flesh, and cloth simulation. #ml #UnrealEngine5
0:19

Epic Games released the Machine Learning Deformer Sample for Unreal Engine 5.2, which demonstrates how the engine's ML technology can help create a character with deformations driven by full muscle, flesh, and cloth simulation. #ml #UnrealEngine5

80 LEVEL

9,589,985 views • 3 years ago

Congratulations to iAgent, the February Altura Grant Fund winner! 🎉 With iAgent Protocol's Visual Learning Model, players transform into innovators, using decentralized computing to train AI agents directly through in-game video content. 🔗
0:15

Congratulations to iAgent, the February Altura Grant Fund winner! 🎉 With iAgent Protocol's Visual Learning Model, players transform into innovators, using decentralized computing to train AI agents directly through in-game video content. 🔗

Altura

17,269 views • 1 year ago

one day PhDs will animate every object around us with reinforcement learning to keep their thesis going
0:11

one day PhDs will animate every object around us with reinforcement learning to keep their thesis going

Jim Fan

464,012 views • 2 years ago

This Quant bot turned $1.4K → $203K in 3 months using a self-trained ML model i traced his 55K predictions → uploaded into Codex 5.5 → connected Hermes agent installed it on a VPS + connected Binance + Synth ML models API 3 days → 343% ROI run trading agent in 5 steps: • rent a VPS on Hetzner - $5.99 • install Hermes CLI using one-liner code - free • connect Codex 5.5 + TG bot + Polymarket API • provide Synth Data API's for crypto predictions • sent Hermes step-by-step prompts from article start small 1-2$ give Hermes least {50-100} trades to build self-learning skills based on Synth ML models self-learning agent + crypto predictions models = best combination for building algo-trading setup bot profile: s tart copy-trading it with even with $5 using Ares: read full article below to build your first trading agent ↓
0:10

This Quant bot turned $1.4K → $203K in 3 months using a self-trained ML model i traced his 55K predictions → uploaded into Codex 5.5 → connected Hermes agent installed it on a VPS + connected Binance + Synth ML models API 3 days → 343% ROI run trading agent in 5 steps: • rent a VPS on Hetzner - $5.99 • install Hermes CLI using one-liner code - free • connect Codex 5.5 + TG bot + Polymarket API • provide Synth Data API's for crypto predictions • sent Hermes step-by-step prompts from article start small 1-2$ give Hermes least {50-100} trades to build self-learning skills based on Synth ML models self-learning agent + crypto predictions models = best combination for building algo-trading setup bot profile: s tart copy-trading it with even with $5 using Ares: read full article below to build your first trading agent ↓

Movez

28,459 views • 1 month ago