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結果:
Heather and Yann talk about their journeys that span both open-source and MATLAB and Jousef ask them what they think of MATLAB vs. Python, and AI in general, including ChatGPT. It is a very casual and open conversation about range of interesting topics. Don't miss it!
Congratulations, @the cyclist for winning the Editor's Pick badge awarded for MATLAB Answers, in recognition of your awesome solution in Center of gaussian mixed distribution area.
Thank you for going to great lengths to help a user in this thread. It appears you downloaded the academic paper and read parts of it to figure out how to help the user.
This is a new badge we just introduced to recognize awesome answers people contribute and yours was picked for discovering a creative way to solve the problem, and made the solution clear, and reproducible. Thank you so much for setting a high standard for MATLAB Answers and for your ongoing contribution to the community.
MATLAB Central Team
You provided 37,574 anwers and received 11,750 votes. You are ranked #2 in the community, Thank you for your contribution to the community!
MATLAB Central Team
Word (Crossword , Wordle, etc.)
19%
Numerical (Sudoku, math, etc.)
33%
Brain teaser, logic
27%
Jigsaw, picture, finding/matching
9%
Wooden, metal, or other mechanical
10%
Other type (comment below)
2%
4398 票
With the release of MATLAB R2023a, we also are giving you early access to the new MATLAB Desktop. This includes Dark Mode! Download via Add-on Explorer in MATLAB or find here on File Exchange.
These are some of the many enhancements and new features of the new desktop:
- Dark mode / theme support - Change the colors of the desktop by selecting a dark theme.
- Updated layout - Quickly access tools and change your layout using the sidebar.
- Expanded search capabilities - Easily find actions, settings, and resources using the new universal search box.
- Figure toolstrip - Use the new figure toolstrip to easily modify annotations, text, and line styles, and view generated code.
- Keyboard and screen reader accessibility support - Use a screen reader to interact with the Command Window, Editor and desktop tools.
- Enhanced MATLAB Projects workflows - Collaborate using an improved user interface, manage multiple repositories using the Branch Manager, and investigate project hierarchies using the new Dependency Analyzer view.
Have fun trying it out and let us know what you think!
Congratulations, @DGM for winning the Editor's Pick badge awarded for MATLAB Answers, in recognition of your awesome solution in searching for a line of pixels in an image.
Thank you for a very detailed explanation of your solution with a lot of references and working code, providing rationale for why you prefer to use spline.
This is a new badge we just introduced to recognize awesome answers people contribute and yours was picked for discovering a creative way to solve the problem, and made the solution clear, and reproducible. Thank you so much for setting a high standard for MATLAB Answers and for your ongoing contribution to the community.
MATLAB Central Team
Congratulations, @John D'Errico for winning the Editor's Pick badge awarded for MATLAB Answers, in recognition of your awesome solution in Finding linear combination of two vectors such as every element is positive.
Thank you for providing a very detailed and elegant discussion about an interesting math question, both fun and instructional.
This is a new badge we just introduced to recognize awesome answers people contribute and yours was picked for discovering a creative way to solve the problem, and made the solution clear, and reproducible. Thank you so much for setting a high standard for MATLAB Answers and for your ongoing contribution to the community.
MATLAB Central Team
In our community poll ‘Which MathWorks resource is most helpful to you while learning MATLAB?’, Documentation is listed as the most helpful resource by 47% of respondents. However, it’s also worth noting that there is tons of information in the documentation. When you want to learn a topic or get quick reference, a cheat sheet would be very useful and save you time!
We’d like to share with you 9 MATLAB Cheat Sheets for Data Science and Machine Learning! These cheat sheets let you find just the right command for the most common tasks for your data science or machine learning projects.
- Automated Machine Learning (AutoML): automate difficult and iterative steps of your model building
- MATLAB Live Editor: create an executable notebook with live scripts
- Importing and Exporting Data: read and write data in many forms
- Preprocessing Time Series Data: store, merge, and clean multirate time series sensor data
- Machine Learning: discover patterns and build predictive models
- Deep Learning: create, train, and validate deep neural networks
- Text Analytics: preprocess, analyze, and model text data
- Problem-Based Optimization: solve optimization problems using a natural syntax
- Solver-Based Optimization: solve optimization problems using matrices and functions
Check it out and let us know your thoughts.
Join us for three lightening talks about awesome MATLAB projects built by our community. Each talk will be 5-10 minutes and allow everyone a chance to ask questions.
- antonio - Using "uihtml" to create custom app components
- Balrog - Creating generative art with Matlab
- xxtankmasterx - Using Matlab on the Steam Deck for mobile processing and data collection
Time: Check your local time
Contact me if you have a talk for our next event!
Definitely not
29%
Probably not
15%
Neutral
11%
Yes, somewhat
18%
Yes, definitely
20%
Not sure
6%
4598 票
Congratulations, @Daniel Vieira for winning the Editor's Pick badge awarded for MATLAB Answers, in recognition of your awesome solution in Why are the results of forward and predict very different in deep learning?
Thank you for providing considered advice about reinforcement learning.
This is a new badge we just introduced to recognize awesome answers people contribute and yours was picked for discovering a creative way to solve the problem, and made the solution clear, and reproducible. Thank you so much for setting a high standard for MATLAB Answers and for your ongoing contribution to the community.
MATLAB Central Team
For Q&A
17%
For programming tasks
27%
For writing
9%
For fun
26%
Other use-case not mentioned here
3%
What's ChatGPT?
17%
4555 票
MATLAB users come to Cody to learn MATLAB and the best way to learn is to learn from other community users. However, when you tried to see all solutions, you saw a message that you had to solve a new problem to unlock all the solutions or submit a solution of a smaller size. This is very confusing and we have been hearing this pain point from users.
Today, the Cody team is pleased to announce that players are able to see all solutions to a problem once they solve it correctly.
After solving a problem, you will see a button that says ‘View Community’s Solutions’, which will bring you to the list of all solutions.
Note that this is our first step in facilitating the learning aspect of Cody. We are actively working on improving the solutions list, so your input is valuable to us. Please let us know your comments or suggestions.
Yes in MATLAB
18%
Yes but only in some other language
22%
Yes in MATLAB and other language(s)
7%
Not yet but would like to learn how
34%
No & don't foresee any need to yet
19%
4243 票
Every year, we show our appreciation to the top contributors by awarding two types of annual badges: Most Accepted badge and Top Downloads badge.
Most Accepted badge goes to the top 10 contributors whose answers received the most acceptances. Top downloads badge goes to the top 10 contributors with the most downloaded submissions.
In 2022, the recipients for Most Accepted are: @Walter Roberson, @Voss, @Star Strider, @Torsten, @Image Analyst, @Matt J, @KSSV, @Jan, @Stephen23, and @DGM.
The recipients for Top Downloaded are: @Cleve Moler, @Yarpiz, @John D'Errico, @Seyedali Mirjalili, @Rodney Tan, @Yair Altman, @Chad Greene, @Steve Miller, @Giampiero Campa, and @Scott Lowe
Congratulations and thank you again for your outstanding contribution in 2022!
MathWorks is hosting the QIT Boston event to discuss Ethical AI for the LGBTQ+ community on its Lakeside campus, hosted by our own Heather Gorr, PhD.
AI is known to learn biases from the various sources that affects our daily lives, and in particular minority groups like LGBTQ+.
Join the discussion to what the impacts are, where the biases come from, and how to mitigate as you develop AI.
Sign up here
https://www.eventbrite.com/e/oit-boston-panel-discussion-ethical-ai-for-the-lgbtq-community-registration-496419814027
You provided 2,007 anwers and received 529 votes. Thank you for your contribution to the community!
MATLAB Central Team
an undergraduate student
41%
in graduate school
28%
in academia (prof, staff, etc.)
11%
in industry or Non-Gov't Org. (NGO)
11%
in government or military
3%
self employed, retired, or hobbyist
6%
7627 票
You provided 10,958 anwers at the acceptance rate of 78.95% and received 3,126 votes. Thank you for your contribution to the community!
MATLAB Central Team
また、以下のリストから Web サイトを選択することもできます。
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