Welcome, to this Open Source Repository regarding FREE ARTIFICIAL INTELLIGENCE RESOURCE. Get Benefit from the free resources mention & kindly five STAR & FORK this so that it can get maximum Fame so that Everyone can take advantage.
Let's Contribute To Open-source
Hacktoberfest, in its 8th year, is a month-long celebration of open source software run by DigitalOcean. During the month of October, we invite you to join open-source software enthusiasts, beginners, and the developer community by contributing to open-source projects.
If you have previously never contributed to any open-source software then these steps will help you get started:
git clone url_you_just_copied
username
with your GitHub username.git checkout -b username
{
"name": {YOUR_NAME},
"batch": {YOUR_BATCH_COMMENCEMENT_YEAR},
"major": {YOUR_DEPARTMENT},
"githubUsername": {YOUR_GITHUB_USERNAME},
"favoriteLanguage": {YOUR_FAVOURITE_PROGRAMMING_LANGUAGE}
}
Now add the above filled block to the array in profiles.json
file
Once you have done all this, commit your changes to GitHub. You can do this with the following commands. Make sure you execute them in the precise order one after another in your terminal.
# copy and paste the following in the terminal
git add .
# copy and paste the following in the terminal after you have executed the previous command
git commit -m "hacktoberfest contribution"
# copy and paste the following in the terminal after you have executed the previous command
git push -u origin your_github_username
Compare & pull request
. Click on it.You need to open four valid pull requests in order to complete the challenge. If you have performed the above steps, you have already opened one pull request. And you need only three more.
Note: Those repositories who have
hacktoberfest
as a label are considered for Hacktoberfest challenge only.
AI is a world’s leading multidisciplinary science Industry and the future of computing. Here I publish the best and free resources related to AI that have been suggested and read by thought-leaders and decision-makers around the world.
Raise your hand if you’ve been caught in the confusion of differentiating artificial intelligence (AI) vs machine learning (ML) vs deep learning (DL).Bring down your hand, buddy, we can’t see it! Although the three terminologies are usually used interchangeably, they do not quite refer to the same things.
Andrey Bulezyuk, who is a German-based computer expert and has more than five years of experience in teaching people how artificial intelligence systems work, says that “practitioners in this field can clearly articulate the differences between the three closely-related terms.”
Therefore, is there a difference between artificial intelligence, machine learning, and deep learning?
Here is an image that attempts to visualize the distinction between them:
From above image, you can see DL is a subset of ML, which is also a subset of AI. Interesting, right?
So, AI is the all-encompassing concept that initially erupted, then followed by ML that thrived later, and lastly DL that is promising to escalate the advances of AI to another level. If you want to learn more then click here.
Courses | School | Duration | Effort | Frequency | Prerequisites |
---|---|---|---|---|---|
Machine Learning Engineer Nanodegree | Udacity | 3 months | 10 hours / week | self-paced | Intermediate Python & ML |
AI for Healthcare Nanodegree Program | Udacity | 4 months | 15 hours / week | self-paced | Intermediate Python & ML |
Intel® Edge AI for IoT Developers Nanodegree Program | Udacity | 3 months | 10 hours / week | self-paced | Intermediate Python & DL |
AI Product Manager Nanodegree | Udacity | 2 months | 2-5 hours / week | self-paced | none |
Data Engineering Nanodegree | Udacity | 5 months | 5 hrs / week | self-paced | Intermediate Python & SQL |
Feel free to open a PR if you feel like something needs to be added or you want to suggest something then your commit message should be in given format: added to -->resource_name-->section_name
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