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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 个投票
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 个投票
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 个投票
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 个投票
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 个投票
4 weeks of contests is fun but intense. Next, we recommend 3 things to do as warm-down exercises.
To make future contests better and more appealing to you, we created a 1-minute survey to understand your experience. Your feedback is critical to us!
Dave Bulkin is a developer on the MATLAB Graphics and Charting Team. In the Blog post, @Dave B not only examines the code behind the leading entries, but also introduces you to some new visualization techniques.
Matt Tearle is from MathWorks Training Services Team. @Matt Tearle created this problem group to celebrate the 10th anniversary of Cody and the 2022 T20 World Cup (which happened to occur at the same time). Note that the problems can be done without the knowledge of cricket.
Thank you in advance and hope to see you in 2023!
I've now seen linear programming questions pop up on Answers recently, with some common failure modes for linprog that people seem not to understand.
One basic failure mode is an infeasible problem. What does this mean, and can it be resolved?
The most common failure mode seems to be a unbounded problem. What does this mean? How can it be avoided/solved/fixed? Is there some direction I can move where the objective obviously grows without bounds towards +/- inf?
Finally, I also see questions where someone wants the tool to produce all possible solutions.
A truly good exposition about linear programming would probably result in a complete course on the subject, and Aswers is limited in how much I can write (plus I'll only have a finite amount of energy to keep writing.) I'll try to answer each sub-question as separate answers, but if someone else would like to offer their own take, feel free to do so as an answer, since it has been many years for me since I learned linear programming.
The 2022 community contests have concluded! During the 4 weeks, we hope you had a lot of fun and learned some MATLAB skills. Together, we've achieved amazing milestones:
- 500+ entries and 5,000+ votes created in the Mini Hack 2022 contest.
- 100,000+ solutions submitted in Cody 10th Anniversary contest
- 2,000+ participants in both contests
Now, it's time to announce weekly winners and grand prize winners!
Mini Hack - Pick of the MATLAB Graphics Team
We invited the MATLAB Graphics team, the authors of the MATLAB functions used in every entry, to be our Mini Hack judges. Here are their picks in 3 categories:
- Our Top 3:
Rising Hand by Augusto Mazzei
Object used: fill; Judge comments: Clever code, nice metaphor, kind comments
Above the clouds by Tim
Object used: patch (via VOXview); Judge comments: Very pretty, looks like it could be in a video game
Monocular rivalry by Jenny Bosten
Object used: Image; Judge comments: We spent a too much time trying to figure out what this illusion was doing to our brains
- Clever use of Charts:
Object used: Bar3; Judge comments: Cute! Nice fireworks!
Object used: histogram2; Judge comments: We didn't realize there was a ship in the flow data set
Object used: plot; Judge comments: Nifty and very different from other entries.
Object used: scatter; Judge comments: Overlapping markers make for a very cool tunnel-like effect
- Things we still loved:
Object used: image; Judge comments: Domain Warping FTW
Object used: surface; Judge comments: Clever use of transparency
Congratulations and you should be very proud of yourself! It's a huge achievement that your entry is recognized by the MATLAB Graphics team!
Mini Hack - special category for Week 4
Mini Hack - grand prize winners
After an intensive (and very time-consuming) review of votes on winning entries, we have finalized the list of grand prize winners. Huge congratulations! We appreciate the time and effort you spent and the awesome entries you created. Each of you won an Amazon gift card.
Anton Kogios, Brandon Caasenbrood, KARUPPASAMYPANDIYAN M, Teodo, Jenny Bosten, MvLevi, Abdullah Caliskan, Stewart Thomas, Jonas Schlatter, and Tim Davis
Cody 10th Anniversary - surprise prize for 28-day streak winners
We are thrilled to see that 37 players have built a streak of 28 days! Coming back every day to solve problems is an incredible achievement. We decided to show our appreciation by awarding a surprise prize to those 37 players. Congratulations! Each of you will get a MathWorks T-shirt.
Christian Schröder, Stefan Abendroth, Mohammed, Victoria, Vasileios Pasialis, Gerardo Domínguez Ramírez, HH, Anton Kogios, Lizhi Zhu, Marco Fuscà, Armando Longobardi, Monica, Rithik KRT, Ayman, Teodo, Lincoln Poon, Elijah Keifert, siranjeevi gurumani, kazuyoshi kouno, Ryan Koh, Manuela Kaiser, Mehmet OZC, Dyuman Joshi, KOTHAPALLI SRI BRINDA, Gergely Patay, abyss, Takumi, Keita Abe, Petr Cerny, Shubham Shubham, Meredith, Andrew K, Atsushi Ueno, Peter Orthmann, Armando Longobardi, Chuang Tao, and David Romero
Cody 10th Anniversary winners – Week 4
The top 3 players for solving the most problems in week 4 are Christian Schröder, Gerardo Dominguez Ramirez, and Stefan Abendroth, Congratulations! Each of you won an Amazon gift card.
Week 4 lucky winners are Qingrui Liu and Basant Ale.
Cody 10th Anniversary winners – grand prize winners
We know how hard it is to be a top-10 leader in the contest leaderboard! It requires a huge time commitment and advanced MATLAB skills. Congratulations! Each of you will win an Amazon gift card.
Christian Schröder, Stefan Abendroth, Mohammed, Victoria, Vasileios Pasialis, Gerardo Domínguez Ramírez, HH, Anton Kogios, Lizhi Zhu, and Marco Fuscà
Lucky voters and participants
Thank you for your participation in our 2022 contests. You don’t need to be on the top of the leaderboards to win. As we announced, we would give out 20 MathWorks T-shirts to lucky voters and participants of the 2 contests.
Ismail Bera Altan, Robin Stolz, Michael Mellin, Kellan Smith, Neha Shaah, Siranjeevi gurumani, Paul Villain, Andrew Horchler, Meg Noah, Saurabh Chaudhary, Pakize erdogmus, Godfrey Ojerheghan, Selena Mastrodonato, Damir Rasic, Thomas Kjeldsen, Meredith, John Noah Ramiterre, Patience Oliveira, Panda, and Sujeet Kumar Choudhary
On behalf of the MATLAB Central community team, we thank you for joining our celebration of the MATLAB Central community 2022 contests. We hope you enjoyed these contests and look forward to seeing you in next year’s contests.