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72 results

CMU Database Group
Multi-statement Transactions in the Databricks Lakehouse (Ryan Johnson)

CMU Database Group - Future Data Systems Seminar Series (Fall 2025) Speaker: Ryan Johnson ...

56:14
Multi-statement Transactions in the Databricks Lakehouse (Ryan Johnson)

1,514 views

2 months ago

Invertir Aprendiendo
How much would you have to INVEST to LIVE off JOHNSON & JOHNSON Dividends?

IS IT POSSIBLE TO LIVE OFF DIVISIONS WITH Johnson & Johnson? Step-by-step calculations. Find out how much you would need to ...

5:15
How much would you have to INVEST to LIVE off JOHNSON & JOHNSON Dividends?

1,081 views

2 months ago

Baratunde Thurston
The Algorithms Are Coming: Baratunde’s 2016 A.I. Warning That’s Now Real

Back in 2016, at SXSW Interactive, I was honored to be inducted into the Hall of Fame. But instead of just celebrating, I took the ...

4:37
The Algorithms Are Coming: Baratunde’s 2016 A.I. Warning That’s Now Real

321 views

10 months ago

Electrical & Computer Learning Center, ECL Center
Matrix Calculus for Machine Learning and Beyond - MIT - Lec 01 - Part 1

Lecture 1 Part 1: Introduction and Motivation Description: What is matrix calculus, and why do we need to go beyond single ...

57:42
Matrix Calculus for Machine Learning and Beyond - MIT - Lec 01 - Part 1

728 views

11 months ago

OskarPuzzle
Iwahswap (Hypex) - Is this the world's first truly hyper-exponential puzzle?

Print it yourself at https://oskarvandeventer.nl/Print-It-Yourself/. Buy at https://i.materialise.com/en/shop/item/iwahswap Iwahswap is ...

6:20
Iwahswap (Hypex) - Is this the world's first truly hyper-exponential puzzle?

12,410 views

9 months ago

Peter Schneider
Mathematica: Incorrect results when solving BVP with 3 non-linear ODEs

Incorrect results when solving BVP with 3 non-linear ODEs I hope you found a solution that worked for you :) The Content is ...

5:21
Mathematica: Incorrect results when solving BVP with 3 non-linear ODEs

2 views

6 months ago

UofU Data Science
L18-RandProjection

Approximate all distances. Johnson Lindenstrauss Lemma. Random projections method. Unbiased estimate, and where log(n) ...

41:03
L18-RandProjection

43 views

Streamed 2 months ago

Echoes of AI
Chapter 1: The New Era of Connection 🎨

Viral 2025 | Chapter 1: The New Era of Connection In Viral 2025, Emma Johnson, a 23-year-old digital artist, thought she had ...

0:56
Chapter 1: The New Era of Connection 🎨

7 views

9 months ago

Tri Thức Mở by The Compiler
Bài giảng 14: Thuật toán APSP và Johnson | Đường đi ngắn nhất | MIT 6.006 | Song Ngữ by The Compi...

Tri Thức Mở by The Compiler | Khám phá bài giảng chuyên sâu về Thuật toán Đường đi ngắn nhất giữa mọi cặp đỉnh (APSP) ...

57:08
Bài giảng 14: Thuật toán APSP và Johnson | Đường đi ngắn nhất | MIT 6.006 | Song Ngữ by The Compi...

4 views

2 months ago

Peter Schneider
Mathematica: Could not generate mesh when the mesh count is too large

Could not generate mesh when the mesh count is too large I hope you found a solution that worked for you :) The Content is ...

1:48
Mathematica: Could not generate mesh when the mesh count is too large

1 view

6 months ago

Peter Schneider
Mathematica: How to save values for numbered/indexed variables using DumpSave

How to save values for numbered/indexed variables using DumpSave I hope you found a solution that worked for you :) The ...

2:54
Mathematica: How to save values for numbered/indexed variables using DumpSave

5 views

4 months ago

Electrical & Computer Learning Center, ECL Center
Matrix Calculus for Machine Learning and Beyond - MIT - Lec 05 - Part 1

Lecture 5 Part 1: Derivative of Matrix Determinant and Inverse Description: The first ~6 minutes are on the topic Norms and ...

28:03
Matrix Calculus for Machine Learning and Beyond - MIT - Lec 05 - Part 1

30 views

11 months ago

Electrical & Computer Learning Center, ECL Center
Matrix Calculus for Machine Learning and Beyond - MIT - Lec 05 - Part 3

Lecture 5 Part 3: Differentiation on Computational Graphs Description: A very general way to think about the chain rule is to view ...

32:46
Matrix Calculus for Machine Learning and Beyond - MIT - Lec 05 - Part 3

46 views

11 months ago

House of Golde: Refining for Success
How I Test My Systems Before Launch: The Secret to AI Visibility & Founder Freedom (GEO Era 2026)

In this episode of Beyond the Curve, Golden Johnson — founder of House of Golde — breaks down how she tested her systems ...

14:13
How I Test My Systems Before Launch: The Secret to AI Visibility & Founder Freedom (GEO Era 2026)

33 views

2 months ago

Nida Karagoz
Condition to create "false peaks" in the DTFT (2 SOLUTIONS!!)

Condition to create "false peaks" in the DTFT (2 SOLUTIONS!!) ✧ I really hope you found a helpful solution! ♡ The Content is ...

3:05
Condition to create "false peaks" in the DTFT (2 SOLUTIONS!!)

1 view

8 months ago

Electrical & Computer Learning Center, ECL Center
Matrix Calculus for Machine Learning and Beyond - MIT - Lec 05 - Part 2

Lecture 5 Part 2: Forward Automatic Differentiation via Dual Numbers Description: One simple way to automatically differentiate ...

36:02
Matrix Calculus for Machine Learning and Beyond - MIT - Lec 05 - Part 2

43 views

11 months ago

Eight Sleep
Introducing Pod 5. The first fully immersive sleep system.

Introducing Pod 5. The first fully immersive sleep system. Immersive temperature. Zero-gravity elevation. Integrated ...

2:06
Introducing Pod 5. The first fully immersive sleep system.

50,638,792 views

8 months ago

Nida Karagoz
When is it necessary to fftshift() the input sequence to a DFT implementation?

When is it necessary to fftshift() the input sequence to a DFT implementation? ✧ I really hope you found a helpful solution!

2:17
When is it necessary to fftshift() the input sequence to a DFT implementation?

4 views

9 months ago

The Debug Zone
Why Does My Neural Network Give Different Outputs for the Same Input?

In this video, we delve into a common yet perplexing issue faced by many when working with neural networks: the phenomenon of ...

2:20
Why Does My Neural Network Give Different Outputs for the Same Input?

5 views

5 months ago

Peter Schneider
Mathematica: How to approximate an implicit function using simple functions (e.g. polynomials)?

How to approximate an implicit function using simple functions (e.g. polynomials)? I hope you found a solution that worked for you ...

6:18
Mathematica: How to approximate an implicit function using simple functions (e.g. polynomials)?

0 views

4 months ago