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Home Page: https://virgili0.github.io/Virgilio/
License: Other
Your new Mentor for Data Science E-Learning.
Home Page: https://virgili0.github.io/Virgilio/
License: Other
Send/bridge notifications about Pull Requests, boards, Issues, .. to our Discord and Telegram chats
The vision of Virgilio is to share free and curated knowledge maps and high-quality content, and we think that everyone can put his hands in this mission!
If you know how to use MongoDB and have good communication skills, why not writing a guide about it? Several studies and empirical proofs show that to teach something is the fastest and most effective way to learn it.
Thousands of people will read it and would be grateful to you! ๐
Don't worry about the correctness of your English or the deepness of your knowledge, experienced people at Virgilio will help you to make your guide of the highest quality.
If you want to contribute to the Virgilio project, comment on this issue.
in the guide of statistics section, the link of "Statistics in Plain English - Timothy C. Urdan" is not a valid link. After clicking the link, it redirects to https://www.helpsavedemocracy.com/.
The Purgatorio -> Fundamentals -> Linear Algebra section contains a link to exercises and this link doesn't work.
Check your knowledge
Test your knowledge with these exercises.
Anyway you can find a ton of them online, and remember, that the more you practise, the better you will get!
Could it be deleted or replaced with other materials, since there are lots of them on the internet?
I just follow to @jiaxianhua MLDemos/README.md and install it. When I run it on the Ubuntu14.04 as
$ ./mldemos
all can works all right except for Algorithm Options. All tabs within Algorithm Options window are grey.
Thanks.
I can't find " Machine Learning Paths" of " catalog. It contains proative conditions ,how use Scikit-Learn to ML,TensorFlow and toll. I click " Complete Learning Paths", then the content of the page is the same as the home page. I want to know how to check the previous content?
Sorry, English is not my native language.
The vision of Virgilio is to share free and curated knowledge maps and high-quality content, and we think that everyone can put his hands in this mission!
If you know how to use Excel and have good communication skills, why not writing a guide about it? Several studies and empirical proofs show that to teach something is the fastest and most effective way to learn it.
Thousands of people will read it and would be grateful to you! ๐
Don't worry about the correctness of your English or the deepness of your knowledge, experienced people at Virgilio will help you to make your guide of the highest quality.
If you want to contribute to the Virgilio project, comment on this issue.
IS this the correctplace to put this??
2nd and Third Paragraphs
if you want to make an analogy with a human being, you can think of sensors as the sense organs (eyes, ears,...), the intelligence is that of our brain and the actuators can be the hands, feet, or more generally the muscles. However, the biological analogy is limited, since it is not necessary for the sensors of an agent to detect physical phenomena, such as temperature or time, but it could detect data, relations, or inputs of any other kind.
If you want to make an analogy with a human being, you can think of sensors as the sense organs (eyes, ears,...), the intelligence is that of our brain and the actuators can be the hands, feet, or more generally the muscles.
However, the biological analogy is limited, since it is not necessary for the sensors of an agent to detect physical phenomena, such as temperature or time, but it could detect data, relations, or inputs of any other kind.
data guides ... about data ..
We need a new and revamped CONTRIBUTING document, explaining the project structure, long term goals, needed guides and arguments, roadmap, allowing contributors to submit content in a more structured way
It'll be really helpful if you can have a discord community... than the learners can communicate with the pros and directly solve their doubts without hassling here and there.
To build the remaining Data guides
The vision of Virgilio is to share free and curated knowledge maps and high-quality content, and we think that everyone can put his hands in this mission!
If you know how to use R for Data Science and have good communication skills, why not writing a guide about it? Several studies and empirical proofs show that to teach something is the fastest and most effective way to learn it.
Thousands of people will read it and would be grateful to you! ๐
Don't worry about the correctness of your English or the deepness of your knowledge, experienced people at Virgilio will help you to make your guide of the highest quality.
If you want to contribute to the Virgilio project, comment on this issue.
The link https://towardsdatascience.com/unsupervised-learning-with-python-173c51dc7f03 at line 146 of machine-learning-theory.md
is corrupted and shows Error 410 Deleted by author
.
2222
Hello everyone,
I got briefly involved with Virgilio a couple of years back while I was still early in my journey in deep learning and for more than one reason I got side tracked.
I am currently working at a mobile robotics startup as the lead software engineer, and for computer vision solutions (non-deep learning) that I need to use for our robots I am going back to studying math and stats and linear algebra.
I did remember that Virgilio had a guide containing a list of good resources to learn these topics so I gave the website a visit and it was truly heartwarming to see Virgilio is going strong.
Anyhow, I checked the calc 1 course from MIT and I did push through it a bit, and I'd like to think of myself as a mathematically inclined person, but with the workload I have and the mental drain that comes with that, it was very difficult for me to keep up with the content the way I wanted it to be done.
So here's an alternative course: Prof. Leonard's Calc 1. He explains it very well, he does not leave details, and granted it is not as deep of an understanding as the MIT course gives, I believe it is a completely reasonable baseline for calculus. I will attempt to update you guys on any good resources I might find for the rest of the topics as I get to them, but for now that is my suggestion. I think Prof Leonard's courses could be a worthwhile alternative to the MIT courses for those who are mostly interested in applications of calc (for any purpose, including deep learning).
Nonetheless, I leave the choice to the capable hands of those running Virgilio to decide whether they would like to include a less intensive, less in-depth, more applications-oriented approach the the preliminary topics or not.
Introductory - panoramic - guide to computer vision
https://virgili0.github.io/Virgilio/docs/contributors.html - returns 404 (I searched for "contribute" and found this link)
I think this issue is related to the comment made on #105 (comment)
I also ran a check using https://www.deadlinkchecker.com/ and found this
Virgilio - Broken Link Checker Tool - Dead Link Checker.zip
Find a way to show Python notebooks.
@clone95 mentioned:
https://www.reddit.com/r/Python/comments/3gg52d/any_way_to_render_ipython_notebooks_on_githubio/
The link Virgilio's official Matrix Algebra guide jupyter notebook is broken. ( This is present in linear-algebra-and-matrix-algebra).
It would be cool to have a global blue theme while we are in Paradiso articles, and use something else for Purgatorio and Inferno.
Under Collect Your Own Data - the Snorkel link is a dead link
Open separate issues for the following discussed points:
Maybe setup a Patreon and/or an Open Collective page?
Where can I find the alternative links/locations to these topics:
Machine Learning Study Path [deadlink]
They used to be present on the github repo but now none of the commits/branches contains them. Have they been permanently deleted or moved elsewhere?
If you check out the New To Data Science section on my repo, you can see I have added alternative links to the couple of them.
Hi long time. Let me know if the following repositories will be helpful for the project.
https://github.com/firmai/industry-machine-learning - A curated list of applied machine learning and data science notebooks and libraries across different industries.
https://github.com/firmai/business-machine-learning - A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations.
https://github.com/firmai/data-science-career - Career Resources for Data Science, Machine Learning, Big Data and Business Analytics Career Repository
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An Open Source Machine Learning Framework for Everyone
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JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
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We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
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Data-Driven Documents codes.
China tencent open source team.