{"id":26375202,"url":"https://github.com/aiwithqasim/free-artificial-intelligence-resources","last_synced_at":"2025-03-17T02:16:36.680Z","repository":{"id":53602712,"uuid":"283508315","full_name":"aiwithqasim/Free-Artificial-Intelligence-Resources","owner":"aiwithqasim","description":"Welcome, to this Open Source Repository regarding FREE ARTIFICIAL INTELLIGENCE RESOURCE. Get Benefit from the free resources mention \u0026 kindly five STAR \u0026 FORK this so that it can get maximum Fame so that Everyone can take advantage.","archived":false,"fork":false,"pushed_at":"2021-10-16T08:09:32.000Z","size":3379,"stargazers_count":70,"open_issues_count":0,"forks_count":23,"subscribers_count":5,"default_branch":"main","last_synced_at":"2024-11-02T17:36:27.618Z","etag":null,"topics":["ai","article","artificial-intelligence","artificial-neural-networks","blog","data-science","datascientist","deep-learning","freeresources","hacktoberfest","hecktoberfest2021","jobs","machine-learning","machine-learning-algorithms","natural-language-processing","nlp","project","python3","youtube"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/aiwithqasim.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2020-07-29T13:35:54.000Z","updated_at":"2024-09-24T04:49:40.000Z","dependencies_parsed_at":"2022-09-02T10:50:41.572Z","dependency_job_id":null,"html_url":"https://github.com/aiwithqasim/Free-Artificial-Intelligence-Resources","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aiwithqasim%2FFree-Artificial-Intelligence-Resources","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aiwithqasim%2FFree-Artificial-Intelligence-Resources/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aiwithqasim%2FFree-Artificial-Intelligence-Resources/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aiwithqasim%2FFree-Artificial-Intelligence-Resources/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/aiwithqasim","download_url":"https://codeload.github.com/aiwithqasim/Free-Artificial-Intelligence-Resources/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243960657,"owners_count":20375105,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ai","article","artificial-intelligence","artificial-neural-networks","blog","data-science","datascientist","deep-learning","freeresources","hacktoberfest","hecktoberfest2021","jobs","machine-learning","machine-learning-algorithms","natural-language-processing","nlp","project","python3","youtube"],"created_at":"2025-03-17T02:16:36.053Z","updated_at":"2025-03-17T02:16:36.673Z","avatar_url":"https://github.com/aiwithqasim.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"![hacktoberfest](https://github.com/qasim1020/Free-Artificial-Intelligence-Resources/blob/main/Images/hacktoberfest.png)\n\u003cdiv align=\"center\"\u003e\n\t\u003cp\u003e\n        \u003cb\u003e\u003ci\u003eLet's Contribute To Open-source\u003c/i\u003e\u003c/b\u003e\n    \u003c/p\u003e\n\u003c/div\u003e\n\nHacktoberfest, 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.\n\n### *Completing the Challenge*\n\nIf you have previously never contributed to any open-source software then these steps will help you get started:\n\n1. Go to Hacktoberfest [official website](https://hacktoberfest.digitalocean.com/) and sign in there using your GitHub.\n2. Install git and setup in your computer. Download and install it from [here](https://git-scm.com/downloads).\n3. Fork this repository by click the Fork button in the top right of this page or simply [click here](https://github.com/sharjeelyunus/hacktoberfest/fork).\n4. Once it is forked, clone the repository in your computer. For this, copy the URL in the address bar, and use the following command:\n\n```sh\ngit clone url_you_just_copied\n```\n\n4. Open this cloned repository in your preferred code editor. Also, open a terminal in this directory.\n5. Now type in the following command in the terminal and replace `username` with your GitHub username.\n\n```sh\ngit checkout -b username\n```\n\n6. Fill this block with necessary info of yourself.\n```\n    {\n      \"name\": {YOUR_NAME},\n      \"batch\": {YOUR_BATCH_COMMENCEMENT_YEAR},\n      \"major\": {YOUR_DEPARTMENT},\n      \"githubUsername\": {YOUR_GITHUB_USERNAME},\n      \"favoriteLanguage\": {YOUR_FAVOURITE_PROGRAMMING_LANGUAGE}\n    }\n```\n\n7. Now add the above filled block to the array in `profiles.json` file\n\n\n8. 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.\n\n```sh\n# copy and paste the following in the terminal\ngit add .\n\n# copy and paste the following in the terminal after you have executed the previous command\ngit commit -m \"hacktoberfest contribution\"\n\n# copy and paste the following in the terminal after you have executed the previous command\ngit push -u origin your_github_username\n```\n\n9. Now open the forked repository on your GitHub. You will see a yellow box at the top telling you that some changes are pushed. You will also see a button called `Compare \u0026 pull request`. Click on it.\n10. Now add a title, some description! You have opened a pull request in this repository.\n\n*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.*\n\n\u003cbr\u003e\n\n\u003eNote: Those repositories who have `hacktoberfest` as a label are considered for Hacktoberfest challenge only.\n\n\u003ch1 align=\"center\"\u003e\n    \u003cbr/\u003e\n    \u003cbr/\u003e\n\n  \u003cimg src=\"https://github.com/qasim1020/Free-Artificial-Intelligence-Resources/blob/main/Images/companies.jpg\"\u003e\n\n![GitHub last commit](https://img.shields.io/github/last-commit/qasim1020/Free-Artificial-Intelligence-Resources/test?color=%09%23008000\u0026logo=github)\n![GitHub commit activity](https://img.shields.io/github/commit-activity/m/qasim1020/Free-Artificial-Intelligence-Resources?color=green\u0026logo=Github)\n![GitHub contributors](https://img.shields.io/github/contributors/qasim1020/Free-Artificial-Intelligence-Resources?color=green)\n![GitHub](https://img.shields.io/twitter/url?label=GitHub\u0026logo=Github\u0026style=social\u0026url=https%3A%2F%2Fgithub.com%2Fqasim1020)\n![LinkedIn Follow](https://img.shields.io/twitter/url?label=LinkedIn\u0026logo=linkedIn\u0026style=social\u0026url=https%3A%2F%2Fwww.linkedin.com%2Fin%2Fqasim-hassan%2F)\n![GitHub stars](https://img.shields.io/github/stars/qasim1020/Free-Artificial-Intelligence-Resources?color=green\u0026logo=GitHub)\n\n\u003c/h1\u003e\n\u003cbr/\u003e\n\u003cbr/\u003e\n\n### Get Published With AI\n\nAI 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.\n\n### Why should you contribute in this OpenSource Project ?\n\n\u003cul\u003e\n\u003cli\u003eBecause in AI Industry, your audience will be larger and we’ll make sure to spread the word not only on our social media channels, but our all networks as much as we could. We have seen a high engagement rate with high-quality articles.\u003c/li\u003e\n\u003cli\u003eYou'll get to know the best and free resources including latest articles, news and be able to download resources\u003c/li\u003e\n\u003cli\u003eGrow with our community and be able to get feedback as necessary.\u003c/li\u003e\n \u003c/ul\u003e\n \n ### Clearing the Confusion: AI vs Machine Learning vs Deep Learning Differences\n \nRaise 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.\u003c/br\u003e\n\nAndrey 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.”\u003c/br\u003e\n\nTherefore, is there a difference between artificial intelligence, machine learning, and deep learning?\u003c/br\u003e\n\nHere is an image that attempts to visualize the distinction between them:\u003cbr\u003e\n\n\u003ch1 align=\"center\"\u003e\n    \u003ca href=\"https://github.com/qasim1020/Free-Artificial-Intelligence-Resources\"\u003e\n        \u003cimg src = \"https://github.com/qasim1020/Free-Artificial-Intelligence-Resources/blob/main/Images/Difference.png\" width = \"380\" height = \"380\" alr = \"Image\"\u003e\n    \u003c/a\u003e   \n\u003c/h1\u003e\n\nFrom above image, you can see DL is a subset of ML, which is also a subset of AI. Interesting, right?\n\nSo, 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 \u003ca href = \"https://medium.com/ds3ucsd/explaining-the-terms-ai-ml-dl-ds-b0ac43e99f55\"\u003ehere.\u003c/a\u003e\n\n### FREE AI COURSES:\n\n\u003cul\u003e\n\u003cli\u003e\u003ca href = \"https://www.edx.org/course/artificial-intelligence-ai\" target=\"_blank\"\u003e EdX’s Artificial Intelligence \u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://www.udacity.com/course/intro-to-artificial-intelligence--cs271\" target=\"_blank\"\u003e Udacity’s Intro to Artificial Intelligence \u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"http://web.stanford.edu/class/cs221/\" target=\"_blank\"\u003e Artificial Intelligence: Principles and Techniques By Stanford \u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://www.udacity.com/course/artificial-intelligence-for-robotics--cs373\" target=\"_blank\"\u003e Udacity’s Artificial Intelligence for Robotics by Georgia Tech \u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://cognitiveclass.ai/\" target=\"_blank\"\u003e IBM's Data Science and Cognitive Computing courses \u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"http://introtodeeplearning.com/\" target=\"_blank\"\u003eMIT Deep Learning\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://course.elementsofai.com/\" target=\"_blank\"\u003eElements of AI\u003c/a\u003e\u003c/li\u003e\n\n\u003c/ul\u003e\n\n### FREE MACHINE LEARNING COURSES:\n\n\u003cul\u003e\n\u003cli\u003e\u003ca href = \"https://www.coursera.org/learn/machine-learning\" target=\"_blank\"\u003e Machine Learning by Andrew NG \u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://www.udacity.com/course/intro-to-machine-learning--ud120\" target=\"_blank\"\u003e Intro to ML by Udacity \u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://www.edx.org/course/learning-from-data-introductory-machine-learning#!\" target=\"_blank\"\u003e EdX’s Learning from Data(Introductory Machine Learning \u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"http://course18.fast.ai/ml\" target=\"_blank\"\u003e Introduction to Machine Learning for Coders \u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://www.youtube.com/watch?list=PLTB9VQq8WiaCBK2XrtYn5t9uuPdsNm7YE\u0026v=zcMnu-3wkWo\" target=\"_blank\"\u003e Statistical Machine Learning by CMU \u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://www.youtube.com/watch?list=PLoRl3Ht4JOcdU872GhiYWf6jwrk_SNhz9\u0026v=cbeTc-Urqak\" target=\"_blank\"\u003e Coursera’s Neural Networks for Machine Learning \u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://www.kaggle.com/learn/overview\" target=\"_blank\"\u003e Kaggle Complete Roadmap for Machine Learning \u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://www.edx.org/course/principles-of-machine-learning\" target=\"_blank\"\u003e EdX’s Principles of Machine Learning \u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://www.coursera.org/specializations/machine-learning\" target=\"_blank\"\u003e Coursera’s Machine Learning Specialization \u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://developers.google.com/machine-learning/crash-course\" target=\"_blank\"\u003e Machine Learning Crash Course by Google \u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://www.freecodecamp.org/learn/machine-learning-with-python/\" target=\"_blank\"\u003e Machine Learning With Python By FreeCodeCamp\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://developers.google.com/machine-learning/guides/rules-of-ml\" target=\"_blank\"\u003e Best Practices for ML Engineering\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://www.datacamp.com/courses/introduction-to-machine-learning-with-r?tap_a=5644-dce66f\u0026tap_s=463826-784532\" target=\"_blank\"\u003e Machine Learning for Everyone By DataCamp\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://www.edx.org/course/machine-learning?source=aw\u0026awc=6798_1614274764_b3bfe84c18956c66ee65375b0eaaaf0c\u0026utm_source=aw\u0026utm_medium=affiliate_partner\u0026utm_content=text-link\u0026utm_term=301045_https%3A%2F%2Fwww.class-central.com%2F\" target=\"_blank\"\u003e Machine Learning by EdX's (Columbia University)\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://www.classcentral.com/course/edx-machine-learning-15170\" target=\"_blank\"\u003e Machine Learning by EdX's (The University of Texas)\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://developers.google.com/machine-learning/crash-course?\"\u003eMachine Learning Crash Course by Google\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://www.w3schools.com/python/python_ml_getting_started.asp\"\u003eMachine Learning Course at W3Schools\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://www.kaggle.com/learn/intro-to-machine-learning\"\u003eIntro to Machine Learning Course at Kaggle\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://courses.analyticsvidhya.com/courses/Machine-Learning-Certification-Course-for-Beginners\"\u003e Machine Learning Certification For Beginners By Analytics Vidhya\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n    \n### FREE DATA SCIENCE COURSES:\n\u003cul\u003e\n\u003cli\u003e\u003ca href = \"https://cognitiveclass.ai/courses/data-science-101/\" target=\"_blank\"\u003eIntroduction to Data Science\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://cognitiveclass.ai/learn/data-science-with-python\" target=\"_blank\"\u003eApplied Data Science with Python\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://www.coursera.org/professional-certificates/ibm-data-science\" target=\"_blank\"\u003e IBM Data Science Professional Certificate \u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://lnkd.in/fhEUuXMe\" target=\"_blank\"\u003eData Science Training Videos\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https:/\u003cli\u003e\u003ca href = \"https://lnkd.in/f6CAxe7\" target=\"_blank\"\u003eData Analysis in Python and Pandas\u003c/a\u003e\n\u003cli\u003e\u003ca href = \"https://www.freecodecamp.org/learn/data-analysis-with-python/\" target=\"_blank\"\u003eData Analysis in Python by RMOTR and FreeCodeCamp\u003c/a\u003e\u003c/li\u003e \n\u003c/ul\u003e\n\n### DATASET REPOSITORIES:\n\n\u003cul\u003e\n    \u003cli\u003e\u003ca href = \"https://data.world/datasets/open-data\" target=\"_blank\"\u003eData World\u003c/a\u003e\u003c/li\u003e\n    \u003cli\u003e\u003ca href = \"https://datasetsearch.research.google.com/\" target=\"_blank\"\u003eGoogle Data Sets\u003c/a\u003e\u003c/li\u003e\n    \u003cli\u003e\u003ca href = \"https://www.kaggle.com/datasets\" target=\"_blank\"\u003eKaggle Data Sets\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\n### COMPETITION PLATFORMS\n\u003cul\u003e\n    \u003cli\u003e\u003ca href = 'https://numer.ai/'\u003eNumerai\u003c/a\u003e\u003c/li\u003e\n    \u003cli\u003e\u003ca href = 'https://tianchi.aliyun.com/competition/gameList/activeList'\u003eTianchi\u003c/a\u003e\u003c/li\u003e\n    \u003cli\u003e\u003ca href = 'https://omdena.com/'\u003eOmdena\u003c/a\u003e\u003c/li\u003e\n    \u003cli\u003e\u003ca href = 'https://www.hackerearth.com/hackathon/explore/field/machine-learning/'\u003eHackerEarth\u003c/a\u003e\u003c/li\u003e\n    \u003cli\u003e\u003ca href = 'https://www.aicrowd.com/'\u003eaicrowd\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e    \n\n### FREE DEEP LEARNING COURSES:\n\n\u003cul\u003e\n\u003cli\u003e\u003ca href = \"https://www.udacity.com/course/intro-to-tensorflow-for-deep-learning--ud187\" target=\"_blank\"\u003e Google’s Deep Learning Course \u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://course.fast.ai/\" target=\"_blank\"\u003e Practical Deep Learning for Coders \u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://course.fast.ai/part2\" target=\"_blank\"\u003e Deep Learning from the Foundations \u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://lnkd.in/fJ2-WJm\" target=\"_blank\"\u003eIntroduction to Deep Learning\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://lnkd.in/fw6CVus\" target=\"_blank\"\u003eDeep Sequence Modelling\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://lnkd.in/fqWUtqd\" target=\"_blank\"\u003eDeep Learning for Computer Vision\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://lnkd.in/f2_66T2\" target=\"_blank\"\u003eDeep Generative Models\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://lnkd.in/fpptKs4\" target=\"_blank\"\u003eDeep Learning Basics\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://lnkd.in/fZfj3UA\" target=\"_blank\"\u003eDeep Learning tutorial\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://www.youtube.com/playlist?list=PL9ooVrP1hQOEX8BKDplfG86ky8s7Oxbzg\" target=\"_blank\"\u003eDeep Learning with TensorFlow\u003c/a\u003e\u003c/li\u003e\n \u003c/ul\u003e\n \n### DEEP EARNING BY MIT\n\u003cu\u003e\n    \u003cli\u003e\u003ca href = \"https://lnkd.in/fJ2-WJm\" target=\"_blank\"\u003eIntroduction to Deep Learning\u003c/a\u003e\u003c/li\u003e\n    \u003cli\u003e\u003ca href = \"https://lnkd.in/fw6CVus\" target=\"_blank\"\u003eDeep Sequence Modelling\u003c/a\u003e\u003c/li\u003e\n    \u003cli\u003e\u003ca href = \"https://lnkd.in/fqWUtqd\" target=\"_blank\"\u003eDeep Learning for Computer Vision\u003c/a\u003e\u003c/li\u003e\n    \u003cli\u003e\u003ca href = \"https://lnkd.in/f2_66T2\" target=\"_blank\"\u003eDeep Generative Models\u003c/a\u003e\u003c/li\u003e\n    \u003cli\u003e\u003ca href = \"https://lnkd.in/fVxphZd\" target=\"_blank\"\u003eDeep Reinforcement Learning\u003c/a\u003e\u003c/li\u003e\n    \u003cli\u003e\u003ca href = \"https://lnkd.in/fKEmBjS\" target=\"_blank\"\u003eLimitations and New Frontiers\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\n### STATISTICAL SOFTWARE FOR BEGINNERS\n\n\u003cul\u003e\n    \u003cli\u003e\u003ca href = \"https://lnkd.in/ecfsV9c\"\u003eSimple Linear Regression\u003c/a\u003e\u003c/li\u003e\n    \u003cli\u003e\u003ca href = \"https://lnkd.in/ef7Yd7f\"\u003eCoding Dummy Variables\u003c/a\u003e\u003c/li\u003e\n    \u003cli\u003e\u003ca href = \"https://lnkd.in/eNKbxbU\"\u003eForecasting New Observations\u003c/a\u003e\u003c/li\u003e\n    \u003cli\u003e\u003ca href = \"https://lnkd.in/eHmibGs\"\u003eForecasting a Large Number of Observations\u003c/a\u003e\u003c/li\u003e\n    \u003cli\u003e\u003ca href = \"https://lnkd.in/eRfhQ87\"\u003eLogistic Regression\u003c/a\u003e\u003c/li\u003e\n    \n\u003c/ul\u003e\n\n### FREE NLP COURSES:\n\n\u003cul\u003e\n\u003cli\u003e\u003ca href = \"https://www.fast.ai/2019/07/08/fastai-nlp/\" target=\"_blank\"\u003e A Code-First Introduction to Natural Language Processing \u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://www.coursera.org/learn/natural-language-processing-captsone-assignment?ranMID=40328\u0026ranEAID=SAyYsTvLiGQ\u0026ranSiteID=SAyYsTvLiGQ-G8iHGDKtNNL0h3iGqkKUEA\u0026siteID=SAyYsTvLiGQ-G8iHGDKtNNL0h3iGqkKUEA\u0026utm_content=10\u0026utm_medium=partners\u0026utm_source=linkshare\u0026utm_campaign=SAyYsTvLiGQ\"\u003eNatural Language Processing and Capstone Assignment\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://www.coursera.org/learn/probabilistic-models-in-nlp?ranMID=40328\u0026ranEAID=SAyYsTvLiGQ\u0026ranSiteID=SAyYsTvLiGQ-pCFkgjt7SAvOT.AcBvMP_w\u0026siteID=SAyYsTvLiGQ-pCFkgjt7SAvOT.AcBvMP_w\u0026utm_content=10\u0026utm_medium=partners\u0026utm_source=linkshare\u0026utm_campaign=SAyYsTvLiGQ\" target=\"_blank\"\u003e Natural Language Processing with Probabilistic Models \u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\n### FREE MACHINE LEARNING IN GRAPHICS AND VISION COURSES\n\n\u003cul\u003e\n\u003cli\u003e\u003ca href = \"https://www.neuralrender.com/\" target=\"_blank\"\u003e CVPR 2020: Neural Rendering \u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\n### AI RESEARCH AT BIG COMPANIES:\n\n\u003cul\u003e\n\u003cli\u003e\u003ca href = \"https://machinelearning.apple.com/\" target=\"_blank\"\u003e Machine Learning at Apple \u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://www.uber.com/us/en/uberai/\" target=\"_blank\"\u003e AI at Uber \u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://blog.careem.com/en/tag/machine-learning/\" target=\"_blank\"\u003e Machine Learning at Careem \u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://engineering.grab.com/categories/data-science/\" target=\"_blank\"\u003e Data Science at Grab \u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://www.tesla.com/autopilotAI\" target=\"_blank\"\u003e Autopilot AI at Tesla \u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://www.microsoft.com/en-us/ai\" target=\"_blank\"\u003e AI at Microsoft \u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://ai.google/research/\" target=\"_blank\"\u003e AI Research at Google \u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://medium.com/lyftlevel5\" target=\"_blank\"\u003e Self Driving Car Research at Lyft \u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://www.huawei.com/en/industry-insights/technology/ai\" target=\"_blank\"\u003e AI Research at Huawei \u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://research.samsung.com/artificial-intelligence\" target=\"_blank\"\u003e AI Research at Samsung \u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://damo.alibaba.com/labs/ai\" target=\"_blank\"\u003e AI at Alibaba \u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://blog.gojekengineering.com/data-science/home\" target=\"_blank\"\u003e Data Science at Gojek \u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"http://www.didi-labs.com/\" target=\"_blank\"\u003e Intelligent Transportation Technology and Security at Didi Chuxing \u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://www.amazon.science/\" target=\"_blank\"\u003e Amazon Science \u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://medium.com/@boltapp\" target=\"_blank\"\u003e Data Science at Bolt \u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\n### DEVELOPER RESOURCES:\n\n\u003cul\u003e\n\u003cli\u003e\u003ca href = \"https://developer.apple.com/machine-learning/\" target=\"_blank\"\u003e Apple Resources \u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://cloud.google.com/products/ai\" target=\"_blank\"\u003e Google Resources \u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://developers.facebook.com/developercircles/learn/\" target=\"_blank\"\u003e Facebook Resources \u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\n### AI CHEAT-SHEETS:\n\u003cul\u003e\n \u003cli\u003e\u003ca href = \"https://becominghuman.ai/cheat-sheets-for-ai-neural-networks-machine-learning-deep-learning-big-data-science-pdf-f22dc900d2d7\" target=\"_blank\"\u003e Best of AI Cheat-Sheets \u003c/a\u003e\u003c/li\u003e  \n \u003cli\u003e\u003ca href = \"https://github.com/afshinea/stanford-cs-229-machine-learning\" target=\"_blank\"\u003e Stanford CS229 Machine Learning \u003c/a\u003e\u003c/li\u003e\n \u003cli\u003e\u003ca href = \"https://github.com/afshinea/stanford-cs-230-deep-learning\" target=\"_blank\"\u003e Stanford CS230 Deep Learning \u003c/a\u003e\u003c/li\u003e \n \u003cli\u003e\u003ca href = \"https://github.com/afshinea/stanford-cs-221-artificial-intelligence\" target=\"_blank\"\u003e Stanford CS221 Artificial Intelligence \u003c/a\u003e\u003c/li\u003e \n \u003cli\u003e\u003ca href = \"http://www.aicheatsheets.com/\" target=\"_blank\"\u003e Collection of AI Cheat-Sheets \u003c/a\u003e\u003c/li\u003e \n\u003c/ul\u003e\n\n### YOUTUBE CHANNELS\n\n\u003cul\u003e\n\u003cli\u003e\u003ca href = \"https://www.youtube.com/user/MITCSAIL/videos\" target=\"_blank\"\u003e MIT's Computer Science and AI Laboratory \u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://www.youtube.com/channel/UCEqgmyWChwvt6MFGGlmUQCQ/videos/\" target=\"_blank\"\u003e The Allen Institute for Artificial Intelligence \u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://www.youtube.com/channel/UCP7jMXSY2xbc3KCAE0MHQ-A/videos/\" target=\"_blank\"\u003e DeepMind \u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://www.youtube.com/channel/UCJINtWke3-FMz2WuEltWDVQ/videos/\" target=\"_blank\"\u003e Applied AI Course \u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://www.youtube.com/user/certicky/videos\" target=\"_blank\"\u003e StarCraft Artificial Intelligence Tournament \u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://www.youtube.com/channel/UCfzlCWGWYyIQ0aLC5w48gBQ\" target=\"_blank\"\u003e Sentdex's Data Analysis Tutorials \u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href = \"https://www.youtube.com/channel/UC12LqyqTQYbXatYS9AA7Nuw\" target=\"_blank\"\u003e Amazon Machine Learning University \u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\n### Course Downloads\n\n| Courses                                                                                                                           | School  | Duration |      Effort      | Frequency  |       Prerequisites       |\n| :-------------------------------------------------------------------------------------------------------------------------------- | :-----: | :------: | :--------------: | :--------: | :-----------------------: |\n| [Machine Learning Engineer Nanodegree](https://mega.nz/file/B1wUgaxJ#7DGzzv9qhEsFtSVhKoe8pkc1FcA0ZjIpldqDZoKyC1M)                 | Udacity | 3 months | 10 hours / week  | self-paced | Intermediate Python \u0026 ML  |\n| [AI for Healthcare Nanodegree Program](https://mega.nz/file/445mVAIT#O8_7ZquR2IEpv7vvs_B_iJVe8kdsat3rljzQOS8goG0)                 | Udacity | 4 months | 15 hours / week  | self-paced | Intermediate Python \u0026 ML  |\n| [Intel® Edge AI for IoT Developers Nanodegree Program](https://mega.nz/file/50pSUS4L#ihhAZMc2RpzK6l5HwUIrySAJ5CgY0hF3-Oroi5xcP2s) | Udacity | 3 months | 10 hours / week  | self-paced | Intermediate Python \u0026 DL  |\n| [AI Product Manager Nanodegree](https://mega.nz/file/F1hUXCIK#0uvURzJv2G3Il39or2PGr90loQUzh9CxqYiqOElxm20)                        | Udacity | 2 months | 2-5 hours / week | self-paced |           none            |\n| [Data Engineering Nanodegree](https://mega.nz/file/14hEiCQB#20knbJN_TMKCk9ckSAGMLpn2W8eURztAO-c-vs2mC1g)                          | Udacity | 5 months |   5 hrs / week   | self-paced | Intermediate Python \u0026 SQL |\n\n### Contribution Guideline:\n\nFeel 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: \u003cb\u003eadded to --\u003eresource_name--\u003esection_name \u003c/b\u003e\n\n#### 🌟 Please star the repo so that it gets maximum exposure and more people can benefit from it!\n\n### Terms \u0026 Conditions:\n\n\u003cul\u003e\n    \n\u003cli\u003ePlease submit unpublished drafts with at least some Intresting Free resources anout AI.\u003c/li\u003e\n\u003cli\u003eWe do not accept plagiarism. You may reference text from other sources, but it must be referenced ([1][2] and so on), and it cannot exceed 10% of an author’s content. Otherwise, we will reject your article.\u003c/li\u003e\n\u003cli\u003eTry to captivate your audience with a nice image — open-source images can be found at Pixabay, Unsplash, StockSnap, Flickr, Pexels, Burst, The Stocks.\u003c/li\u003e\n\u003cli\u003eMake sure your story has meaning — give more than you get.\u003c/li\u003e\n\u003cli\u003eNo heavy self-promotion please, you can talk about your business, ventures, and others, yet, make sure that your audience stays on-board, and we prefer it to be on the bottom of the article after you have shared your insights and work.\u003c/li\u003e\n\u003c/li\u003ePlease utilize a grammar and readability tool such as \u003cb\u003eGrammarly\u003c/b\u003e. If your article has too many grammatical errors, it won’t be accepted.\u003c/li\u003e\n\n\u003c/ul\u003e\n\n### Important Notice:\n\n\u003ci\u003eAll product names, logos, and brands are property of their respective owners. All company, product and service names used in this repository are for identification purposes only. Use of these names, logos, and brands does not imply endorsement.\u003c/i\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faiwithqasim%2Ffree-artificial-intelligence-resources","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faiwithqasim%2Ffree-artificial-intelligence-resources","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faiwithqasim%2Ffree-artificial-intelligence-resources/lists"}