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19 results

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How Neural Networks Learn - Linear Regression in 5 Minutes with PyTorch

How Neural Networks Learn | Linear Regression in 5 Minutes with PyTorch ------------------------------------------------------------------- In ...

5:04
How Neural Networks Learn - Linear Regression in 5 Minutes with PyTorch

223 views

6 days ago

Peter Max Friis Jensen
I use Emacs' cursor model in evil-mode's normal state.

Emacs' cursor between characters model for cursor positioning in `evil-mode' instead of Vim's normal-state cursor on top of ...

19:29
I use Emacs' cursor model in evil-mode's normal state.

51 views

5 days ago

Foundation Models For Robotics
Forget LLMs: MIT's New Recursive Language Model (RLM) Explained

AI #MIT #RecursiveLanguageModels #LLM #GPT5 #MachineLearning #ArtificialIntelligence #NeuroSymbolic #ContextWindow ...

12:32
Forget LLMs: MIT's New Recursive Language Model (RLM) Explained

2,562 views

3 days ago

Barking Dog BIM
059 Archicad GDL Part script, part model, all GDL

What do you do when the geometry you want to create is too complex to script? There are times when it will be either too time ...

21:55
059 Archicad GDL Part script, part model, all GDL

138 views

23 hours ago

DHIS2
Introduction to the Chap modeling platform

Part 3 of the Advanced Webinar Series on Spatiotemporal Modeling of Climate-Sensitive Diseases. This session provides a ...

1:00:50
Introduction to the Chap modeling platform

128 views

Streamed 2 days ago

Interface Studies
Verbs vs Nouns: The Word Order That Shaped User Interfaces

Interfaces aren't visual. They're grammatical. From command lines to GUIs to AI prompts, computing keeps swinging between ...

27:42
Verbs vs Nouns: The Word Order That Shaped User Interfaces

8,335 views

7 days ago

ExploreWithPratap
Why One Random Variable Is Not Enough for Real-World Modeling?What Is a Stochastic Process Explained

Linkedin https://www.linkedin.com/in/pratap-padhi/ Website https://smearseducation.com/ Join my FREE Skool Community to get ...

56:49
Why One Random Variable Is Not Enough for Real-World Modeling?What Is a Stochastic Process Explained

96 views

Streamed 7 days ago

Quantum inspired algorithms vs quantum computing
Lecture 4: MPO and MPS as matrices and vectors, tensor cross interpolation, quantics

These videos contain a set of lectures given at the Jyväskylä summer school during August 2025. At the core, this is a ...

2:43:41
Lecture 4: MPO and MPS as matrices and vectors, tensor cross interpolation, quantics

0 views

7 days ago

Code with Shivah
ML-1 First Real Machine Learning Project | Stress Prediction using Linear Regression #aiml

In this video, I build a REAL Machine Learning project instead of cloning apps. Using simple home data collected from a ...

39:49
ML-1 First Real Machine Learning Project | Stress Prediction using Linear Regression #aiml

160 views

4 days ago

John Mount
Tobit Regression with Stan

We show you how we can help you model marketing data such as inferring uncapped demand from limited sales. Comments ...

4:38
Tobit Regression with Stan

21 views

20 hours ago

Synergetics-Learning-and-Cloud-Consulting
Machine Learning with Azure ML: From Model Training to Deployment

We'd love to know your thoughts about our videos in the comments section 👇. Also, don't forget to hit the '👍' button and ...

1:38:01
Machine Learning with Azure ML: From Model Training to Deployment

32 views

4 days ago

BohrAI
AI Performs Better Using Only the Nearest Relative Position

I removed non-nearest relative positions for water and food, keeping only the closest ones to reduce the DDQN input size. Thanks ...

9:53
AI Performs Better Using Only the Nearest Relative Position

66 views

2 days ago

Video Istat
Fourth Workshop on Methodologies - Session 1 - Statistical Models for Official Statistics

Fourth Workshop on Methodologies - Statistical Models for Official Statistics 01/12/2025 _Session 1.

3:18:16
Fourth Workshop on Methodologies - Session 1 - Statistical Models for Official Statistics

23 views

4 days ago

Thousand Brains Project
2025/12 - Processing Off-Object Observations in Monty - Working Group

A working group session where Viviane Clay and Niels Leadholm meet with community member Jason Carver to discuss the ...

1:28:21
2025/12 - Processing Off-Object Observations in Monty - Working Group

44 views

1 day ago

Quantum inspired algorithms vs quantum computing
Lecture 3: matrix product states, transverse field Ising model, solving Hamiltonian models

These videos contain a set of lectures given at the Jyväskylä summer school during August 2025. At the core, this is a ...

2:42:05
Lecture 3: matrix product states, transverse field Ising model, solving Hamiltonian models

0 views

7 days ago

UofU Data Science
UUtah CS 3190 Foundations of Data Analysis | Spring 2026 | Bayes' Rule and MLEs

Bayes Rule. Cracked Windshield Example. Pr(Model given Data). Example with n data points in 1 dimension assuming normal ...

1:19:53
UUtah CS 3190 Foundations of Data Analysis | Spring 2026 | Bayes' Rule and MLEs

35 views

Streamed 1 day ago

The Mentor CodeLab
Fluid Tank Model - Export Json from Block Bench | #6

Mastering Block Bench: Exporting Json File for Models Discover the essentials of Block Bench, the go-to tool for 3D modeling in ...

15:13
Fluid Tank Model - Export Json from Block Bench | #6

0 views

2 days ago

BioniChaos
Building Wild AI Tools: Roasting BioniChaos with Gemini 2.5 & Interactive Biomedical Sims

In this video, we are taking a tour of the freshly redeployed BioniChaos platform, showcasing a suite of wild AI tools and interactive ...

44:53
Building Wild AI Tools: Roasting BioniChaos with Gemini 2.5 & Interactive Biomedical Sims

0 views

6 hours ago

Jorge Guerra Pires, Ph.D.
Wheat buying and selling problem | Operations research in action

#excel #operationsresearch #productionengineering Course Model Driven Development (MDD) and Operations Research Learn ...

16:36
Wheat buying and selling problem | Operations research in action

5 views

4 days ago