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Wolfram U
United States
Приєднався 17 лют 2023
Wolfram U offers free open interactive courses, learning events and other educational resources for professional and technical development. Explore a range of computational fields, build your knowledge of Wolfram Language and get certified by a world-recognized leader in technical innovation.
Get a taste of Wolfram U's content every Monday with new videos on a variety of topics! You can also follow along with our longer courses as we release new lessons every Wednesday and Friday! We are currently exploring probability concepts with Wolfram Language functions.
Get a taste of Wolfram U's content every Monday with new videos on a variety of topics! You can also follow along with our longer courses as we release new lessons every Wednesday and Friday! We are currently exploring probability concepts with Wolfram Language functions.
Introduction to Linear Algebra: Linear Transformations
See examples and plots of both reflection and dilation transformations. Define domain, codomain, image and range to better understand transformation operations. Preview matrix and linear transformations from the upcoming lesson.
Learn fundamental linear algebra concepts to prepare for courses in data science, engineering and more with this tutorial series.
Link to the full playlist: ua-cam.com/play/PLrpSK4Y1vEDMPUbsYWwujbeodcblUgOE3.html
#wolfram #mathematics #linearalgebra #datascience #engineering #linearequations #matrix #determinants #eigenvalues
Learn fundamental linear algebra concepts to prepare for courses in data science, engineering and more with this tutorial series.
Link to the full playlist: ua-cam.com/play/PLrpSK4Y1vEDMPUbsYWwujbeodcblUgOE3.html
#wolfram #mathematics #linearalgebra #datascience #engineering #linearequations #matrix #determinants #eigenvalues
Переглядів: 16
Відео
Guiding Principles of System Modeling: Use Different Models
Переглядів 314 години тому
Get an introduction to the rotational library in Modelica. The example in this tutorial uses Wolfram System Modeler to model wind turbines. Compare different model types and mix different domains and libraries. 0:00 Motivation and Background 7:11 Rotating Machinery Library 10:16 SME Files 15:24 Gear Mechanisms Explained 22:14 Audience Questions 30:02 Integrated Models 34:11 Describing the Secon...
Introduction to Linear Algebra: Linear Independence
Переглядів 8212 годин тому
Learn the definition and see examples of linearly dependent and independent vectors and matrices. Determine if a set of one, two or more vectors is dependent or independent. Test for linear independence of matrix columns. Learn fundamental linear algebra concepts to prepare for courses in data science, engineering and more with this tutorial series. Link to the full playlist: ua-cam.com/play/PL...
Introduction to Linear Algebra Applications: Polynomial Interpolation
Переглядів 3116 годин тому
Walk though example application problems showing how to plot and solve linear polynomial problems, including quadratic and cubic interpolating polynomials, polynomials with a given root and sine functions. Learn fundamental linear algebra concepts to prepare for courses in data science, engineering and more with this tutorial series. Link to the full playlist: ua-cam.com/play/PLrpSK4Y1vEDMPUbsY...
Course Preview: Introduction to Calculus
Переглядів 7421 годину тому
Learn calculus concepts and applications from AP Calculus AB in this interactive course. Lessons show functions, limits and derivatives as well as differential and integral calculus. Examples are from the Wolfram eTextbook Series. Link to full course: www.wolfram.com/wolfram-u/courses/mathematics/introduction-to-calculus #wolfram #interactivelearning #maths #apcalculus #functions #derivatives #...
Guiding Principles of System Modeling Study Group: Stay Critical about Your Data
Переглядів 5921 годину тому
Use Wolfram System Modeler and the Modelica library to model simulated voting and election data. Test model parameters and debug and troubleshoot models to get them to align with real-world data. 0:00 Motivation and Background 4:00 Defining Data 8:07 Model Description 19:58 Creating Model Outline 27:32 Model Inputs 34:55 Converters 38:16 Audience Question 41:04 Experiment Setup 42:02 Debugging ...
Introduction to Linear Algebra: Matrix Equations
Переглядів 99День тому
Matrix equations are equivalent to vector equations and linear systems. Examples show matrix-vector products, row-vector rules and matrix-vector products and their properties. Learn about the relationship between matrix equations and linear systems. Learn fundamental linear algebra concepts to prepare for courses in data science, engineering and more with this tutorial series. Link to the full ...
Introduction to Linear Algebra: Vectors in N Dimensions
Переглядів 12914 днів тому
Define vectors, scalars, linear combinations of vectors and vector spaces. Example problems show how to solve 2D, 3D and 4D vectors. Learn about vector operations and scalar multiplication and division. Learn fundamental linear algebra concepts to prepare for courses in data science, engineering and more with this tutorial series. Link to the full playlist: ua-cam.com/play/PLrpSK4Y1vEDMPUbsYWwu...
Course Preview: Introduction to Probability
Переглядів 4114 днів тому
Learn probability and statistics with examples and livecoding in an interactive course. See concepts and applications of random variables and probability distributions. Actuary Exam P and AP Stats topics are covered in this course. Coursework and research in natural science, engineering, finance, medicine, data science and other fields rely on the concepts taught in this course. Link to full co...
Guiding Principles of System Modeling Study Group: Stay Critical to Your Model
Переглядів 5614 днів тому
Model the carbon cycle and atmospheric CO2 with Wolfram System Modeler and the Modelica library. Make simple example models, test them, compare to real-world data and then add seasonal variation to the model. 0:00 Motivation and Background 4:51 Today's Experiment 13:23 Model Overview 17:26 System Modeler Setup 19:37 Setting Up the Model 27:17 Audience Question 28:44 Adding Data 35:41 Testing St...
Introduction to Linear Algebra: Row Reduction and Echelon Forms
Переглядів 12814 днів тому
Define echelon forms of matrices. Convert a matrix to its echelon form with Wolfram Language functions. Example problems show consistent and inconsistent systems. See examples with unique solutions, infinitely many solutions or no solutions. Learn fundamental linear algebra concepts to prepare for courses in data science, engineering and more with this tutorial series. Link to the full playlist...
Introduction to Linear Algebra: Systems of Linear Equations
Переглядів 49621 день тому
Learn the basics of solving linear systems of equations with built-in Wolfram Language functions in this tutorial series. Example problems show how how to use matrices to display and solve linear systems. Learn fundamental linear algebra concepts to prepare for courses in data science, engineering and more with this tutorial series. Link to the full playlist: ua-cam.com/play/PLrpSK4Y1vEDMPUbsYW...
Guiding Principles of System Modeling Study Group: Don't Neglect Interactions
Переглядів 6921 день тому
Guiding Principles of System Modeling Study Group: Don't Neglect Interactions
Introduction to Linear Algebra: What Is Linear Algebra?
Переглядів 31321 день тому
Introduction to Linear Algebra: What Is Linear Algebra?
A Guide to Programming with Wolfram Language: Nonstandard Evaluation
Переглядів 29428 днів тому
A Guide to Programming with Wolfram Language: Nonstandard Evaluation
Course Preview: Introduction to Discrete Mathematics
Переглядів 212Місяць тому
Course Preview: Introduction to Discrete Mathematics
Guiding Principles of System Modeling Study Group: Learn from Other Domains
Переглядів 57Місяць тому
Guiding Principles of System Modeling Study Group: Learn from Other Domains
A Guide to Programming with Wolfram Language: Controlling Evaluation
Переглядів 173Місяць тому
A Guide to Programming with Wolfram Language: Controlling Evaluation
A Guide to Programming with Wolfram Language: Datasets
Переглядів 121Місяць тому
A Guide to Programming with Wolfram Language: Datasets
Guiding Principles of System Modeling Study Group: Day 3
Переглядів 50Місяць тому
Guiding Principles of System Modeling Study Group: Day 3
A Guide to Programming with Wolfram Language: Monitoring and Debugging
Переглядів 117Місяць тому
A Guide to Programming with Wolfram Language: Monitoring and Debugging
A Guide to Programming with Wolfram Language: Speed and Memory Performance
Переглядів 1,1 тис.Місяць тому
A Guide to Programming with Wolfram Language: Speed and Memory Performance
Guiding Principles of System Modeling Study Group: Analyzing Models with Wolfram Language
Переглядів 93Місяць тому
Guiding Principles of System Modeling Study Group: Analyzing Models with Wolfram Language
A Guide to Programming with Wolfram Language: Labeling Plots
Переглядів 117Місяць тому
A Guide to Programming with Wolfram Language: Labeling Plots
A Guide to Programming with Wolfram Language: Function Visualization
Переглядів 311Місяць тому
A Guide to Programming with Wolfram Language: Function Visualization
Guiding Principles for System Modeling: Day 1
Переглядів 115Місяць тому
Guiding Principles for System Modeling: Day 1
A Guide to Programming with Wolfram Language: Making Plots of Data
Переглядів 161Місяць тому
A Guide to Programming with Wolfram Language: Making Plots of Data
A Guide to Programming with Wolfram Language: Knowledge Representation
Переглядів 182Місяць тому
A Guide to Programming with Wolfram Language: Knowledge Representation
Neural Networks Basic Concepts in Wolfram Language
Переглядів 289Місяць тому
Neural Networks Basic Concepts in Wolfram Language
A Guide to Programming with Wolfram Language: Constructing User Interfaces
Переглядів 2452 місяці тому
A Guide to Programming with Wolfram Language: Constructing User Interfaces
Computer Science itself is just applied Mathematics.
Some would say that mathematics is just applied computer science.
very good pace and presentation
Thanks! Glad you found the pace and presentation helpful.
Thank you. so much, Connor. This is indeed a very helpful tutorial.👍👍👍
Glad it was helpful!
I am excited X10 🎉🎉 exactly what I wanted to research myself
6 years ago i used to think that wolfram alpha already has the solutions to my school mathematics , now AI + wolfram
amazing application of mixture distribution in field of reliability and survival analysis
Thanks for the very instructive videos ! You might wanna compress the thumbnail images on you videos a tiny bit less though ;)
Oh Great ❤❤❤❤❤❤
Excellent intro. Thanks.
This is a fantastic series. I'm new to the Wolfram system. Between the "Elementary Introduction" book's notebooks and the explanations in this series, I'm making quick progress. Thank you for putting this together.
I'm so glad to hear you're enjoying the series! It's great that you're making quick progress with Wolfram. Keep up the good work, and feel free to reach out if you have any questions along the way!
00:05:21 intro 00:08:49 PRESENTATION
The order of videos in the playlist doesn't match the intended progression. Is it possible to number them or otherwise list the optimal watch order?
Thank you for your suggestion! We've updated the playlist to reflect the intended progression. The videos are now arranged in the optimal watch order. We hope this improves your viewing experience!
0:00:00 i n t r o d u c t i o n
0:05:35. STARTS >>> Tom Wickham-Jones
Thank you!
Great Video!
What a great video!
Thanks so much, I'm working on this right now
At 4:55, your assertion is not true. Think of a set/event of countable points from any geometric probability example.
A reply from the course author: The statement is: "You now have a way of relating the sample space to a collection of events". Practically, a collection of n countable points on a continuous sample space has a probability of 0/1, which relates 0 to 1. A collection of disjoint regions of the same sample space may have a total probability of p/1, which relates p to 1. Thus, there is a way to compare events and the sample space. You just need to select the right events for it to add up to 1. Theoretically, the claim of any continuous region is a sample space relies on the idea that the result of an infinite sum of points (integral) over the region is 1. Thus, relating a collection of points to a continuous sample space is also very useful.
great. Let's see more like this.
Nice.... waiting for upcoming lectures...
Where can I get a download of the presentation notebook?
Here is the notebook: wolfr.am/1n4z655Hm
Nice 🤓
Such a great video. thank you good sir. More economic videos will be amazing. this video was so helpful can't wait too try this later.
i wish to generate audio signals from a stock ticker, can i do that?
Wolfram Language has an integrated FinancialData function (reference.wolfram.com/language/ref/FinancialData.html) and has various Sound functions (reference.wolfram.com/language/guide/SoundAndSonification.html) to get you started. For more help with your specific project, you can post your code and any questions you have about it on Wolfram Community (community.wolfram.com/).
which software are you using to run this program?
Hi! The presenter is using Wolfram Language in Mathematica. You can try it for free here: www.wolfram.com/mathematica/trial/
@@wolframu thank you
I am trying to understand if indeed there truly has been an alteration of the path of the eclipse. I need to know right now so I’m unab😢le to listen to your vid. No one seems to be commenting on the April 1 Fools Day Joke about the new map. Somesay yes, others no, there is no new path. Please, how could NASA make such a HUGE mistake?
It's because they started CEARN and it has moved the earth. Cearn is trying to destroy earth😢
That is incredible. Thank you for this unique presentation, sir.
Glad you enjoyed it!
@wolframu I really did, through the video it was increasingly impressive.
Is the notebook available? Thanks.
The notebook will be available shortly! We will post a link here when it is available.
The notebook is available from the Wolfram Tech Conference website: www.wolfram.com/events/technology-conference/2023/presentations/
@@wolframu Thanks.
Yeah, but how do you getit?
You can access the plugin through a "Get Wolfram GPT" link on this page: www.wolfram.com/wolfram-plugin-chatgpt/
Great. Thanks. And thanks for posting this on UA-cam...
You're welcome! Be sure to check upcoming events on the Wolfram Events Page: events.wolfram.com
Nice!
Thanks for your feedback! Be sure to check upcoming events on the Wolfram Events Page: events.wolfram.com
It would be great to have the notebook to download.
You can access the notebook on the course page: www.wolfram.com/wolfram-u/courses/programming-applications/video-games-in-wolfram-language-dev031/
@@wolframu Thanks.
GPTs (and almost all transformers, in fact all deep learning models) are statistical models, so they answers are statistical probabilities, hence randomness is built-in there is no escape.
Yes! Thank you for your comment. Be sure to check upcoming events on the Wolfram Events Page: events.wolfram.com
It is nice to compare your product with others, but it is not nice to dump on open source projects. In python students really learn machine learning (and deep learning) being open source, code is workable and understandable and one can learn by changing a lot of things, this can't be said for Mathematica that abstracts everything, also, if abstraction is required (easy and faster development) then keras for tensorflow and lightening for pytorch are good choice. I love mathematica, and I love mathematica for easy math syntax and graphics, I think they are the best (and easy, compared to any open source language) but since mathematica is closed source I don't really understand it much, I only use it for mathematics and graphing equations or system of equations (or simulations with systemmodeler).
please make a vedio on optoion derivative pricing, dynamichedgeing backtesting. any financial derivative pricing model
It may not be as specific as you're looking for, but we do have some financial and financial modeling courses available in the Wolfram U catalog: www.wolfram.com/wolfram-u/courses/finance/ We're currently working on expanding our financial modeling course offerings too!
8:19 wow, is the chat engine running locally or does it communicate with wolfram servers, can it work without internet? what are system requirements for this? what is context length, what languages does it support or is it english only?
Looked it up, but realised you were going to mention models (choice) so modified question now, can I use ollama or llamacpp models, or just any model running on a server and integrate it with mathematica?
Right now, we support models from the following providers: OpenAI, Anthropic, PaLM, GoogleSpeech, and ElevenLabs We do not support other models yet, but we are planning to add a feature allowing users to define their own service connection that they can use with any of our LLMFunctions and Chat Notebooks.
I upgraded straight from 12, skipped 13. But I only got engine not complete mathematica, though I've integrated it with jupyter.
Great lecture!
Glad it was helpful!
May you please do video on dotplots
We don't have a video specifically on dot plots in this course, but they are similar to histograms. We have a series of videos on histograms later in this course.
Uncertainty inside system models is huge. I hope you guys continue with that kind of functionality
Will do. Thanks for your support! Check our upcoming events: events.wolfram.com
Hello. How can I calculate the p value and convert it to hexadecimal format? Is it different for every bitcoin address? For example: p = 0xFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD0364141
Don't know why but I m liking these explanation. Btw what is this software.
This video demonstrates Wolfram Language! You can try it for free on the Wolfram Cloud here: www.wolfram.com/cloud/
Nice explanation,good video
This is a really good example of what you can do with the Wolfram Language. Thanks!
How about we get to the title! Solving math problems
Thank you for this. Is the example notebook saved anywhere publicly available?
You can get the notebooks from the course page: www.wolfram.com/wolfram-u/courses/programming-applications/wolfram-language-for-python-users-dev925/
Thx
Thank you...
❤