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Your new Mentor for Data Science E-Learning.

Home Page: https://virgili0.github.io/Virgilio/

License: Other

Jupyter Notebook 94.93% Python 0.59% JavaScript 1.12% Vue 2.76% HTML 0.01% Stylus 0.59%
tensorflow machine-learning machine-vision datascience scikit-learn python guide guidelines path study

virgilio's Introduction

Virgilio is an open-source initiative, aiming to mentor and guide anyone in the world of the Data Science. Our vision is to give everyone the chance to get involved in this field, get self-started as a practitioner, gain new skills and learn to navigate through the infinite web of resources and find the ones useful for you.

Find me on Twitter to have a chat!

Figure 1

Table of Contents

What is Virgilio?

Studying and reading through the Internet means swimming in an infinite jungle of chaotic information, even more so in rapidly changing innovative fields.

Have you ever felt overwhelmed when trying to approach Data Science without a real “path” to follow?

Are you tired of clicking “Run”, “Run”, “Run”.. on a Jupyter Notebook, with that false sense of confidence given by the comfort zone of the work of others?

Have you ever got confused because of the several and contradicting names for the same algorithm or approach, from different websites and fragmented tutorials?

Virgilio addresses these critical issues for free, for everyone.

About

Virgilio is developed and maintained by these awesome people. Find me on Twitter to have a chat!

Contribute

That's awesome! Check the contribution guidelines and get involved in our project!

License

Contents are released under the Creative Commons BY-NC-SA 4.0 license. Code is released under the MIT license. The Virgilio image comes from here.

virgilio's People

Contributors

3nomis avatar adnan7400 avatar avivace avatar bijilsubhash avatar chrisehlee avatar claude9493 avatar clone95 avatar damianoazzolini avatar entropizza avatar ethanita avatar gbarkhatov avatar ghost-717 avatar hechmik avatar jiaoqiyuan avatar jiaxianhua avatar karaki93 avatar khaledbay avatar kjaisingh avatar lady-ana-developer avatar laravignotto avatar lulzx avatar mikeshatch avatar mindflayer avatar neomatrix369 avatar pulkitmishra avatar s-huabomb avatar taotianli avatar wang7x avatar wuodland avatar zszazi avatar

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virgilio's Issues

Suggestions for calc and possibly statistics prereqs

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.

MLDemos's Algorithm Option is Grew

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.

Hope to get your reply!
AlgorithmOptions

Meeting avivace clone95

Open separate issues for the following discussed points:

  • force dev to accept only commits from pr
  • fix NLP guide from khaled
  • think about recurrent meetings among most active contributors (Gen-Feb)
  • set up a clear explanation for the inferno
  • revamp how to contribute Guide #141
  • editorial checkup for 3d person #139
  • roadmap for Inferno
  • SEO + custom automated sitemap
  • sponsorship (github, patreon, opencollective... ) #122

Additional Packages

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

Help Virgilio for the MongoDB Guide!

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! 👍
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.

Help Virgilio for the Excel Guide!

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! 👍
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.

Help Virgilio for the R for Data Science Guide!

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! 👍
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.

New Contributing documentation

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

Have a Discord Community...

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.

Duplicated Text - What are Artificial Intelligence, Machine Learning, and Deep Learning?

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.

how to find " Machine Learning Paths"?

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 link to math exercises doesn't work

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?

Looking for previously available links

Where can I find the alternative links/locations to these topics:

Machine Learning Study Path [deadlink]

New To Data Science

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.

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