Update README.md

README.md

@@ -42,18 +42,18 @@ Artificial Intelligence is advancing by leaps and bounds. Recent research in the
 Even if your profession is not directly related to tech, still it's said that AI will disrupt every field in one or other ways. That's why you need to have at least a basic understanding of how AI works.
 
 ### 🤖 FREE AI COURSES:
-- EdX’s Artificial Intelligence - https://www.edx.org/course/artificial-intelligence-ai
-- Udacity’s Intro to Artificial Intelligence - https://www.udacity.com/course/intro-to-artificial-intelligence--cs271
-- Artificial Intelligence: Principles and Techniques By Stanford - http://web.stanford.edu/class/cs221/
-- Udacity’s Artificial Intelligence for Robotics by Georgia Tech - https://www.udacity.com/course/artificial-intelligence-for-robotics--cs373
-- IBM's Data Science and Cognitive Computing courses - https://cognitiveclass.ai/
-- Elements of AI - https://www.elementsofai.com/
-- Building AI - https://buildingai.elementsofai.com/
-- Intellipaat's Artificial Intelligence - https://intellipaat.com/academy/course/artificial-intelligence-free-course/
-- EdX/Harvard University's CS50: Introduction to Artificial Intelligence with Python - https://www.edx.org/course/cs50s-introduction-to-artificial-intelligence-with-python
-- Microsoft AI School - https://aischool.microsoft.com/en-us/home
-- Learn with Google AI - https://ai.google/education/
-- Crash Course - Artificial Intelligence https://www.youtube.com/watch?v=GvYYFloV0aA&list=PL8dPuuaLjXtO65LeD2p4_Sb5XQ51par_b
+- [EdX’s Artificial Intelligence](https://www.edx.org/course/artificial-intelligence-ai)
+- [Udacity’s Intro to Artificial Intelligence](https://www.udacity.com/course/intro-to-artificial-intelligence--cs271)
+- [Artificial Intelligence: Principles and Techniques By Stanford](http://web.stanford.edu/class/cs221/)
+- [Udacity’s Artificial Intelligence for Robotics by Georgia Tech](https://www.udacity.com/course/artificial-intelligence-for-robotics--cs373)
+- [IBM's Data Science and Cognitive Computing courses](https://cognitiveclass.ai/)
+- [Elements of AI](https://www.elementsofai.com/)
+- [Building AI](https://buildingai.elementsofai.com/)
+- [Intellipaat's Artificial Intelligence](https://intellipaat.com/academy/course/artificial-intelligence-free-course/)
+- [EdX/Harvard University's CS50: Introduction to Artificial Intelligence with Python](https://www.edx.org/course/cs50s-introduction-to-artificial-intelligence-with-python)
+- [Microsoft AI School](https://aischool.microsoft.com/en-us/home)
+- [Learn with Google AI](https://ai.google/education/)
+- [Crash Course - Artificial Intelligence](https://www.youtube.com/watch?v=GvYYFloV0aA&list=PL8dPuuaLjXtO65LeD2p4_Sb5XQ51par_b)
 
 ### 🔢 FREE MATHEMATICS RESOURCES:
 #### Videos
@@ -131,25 +131,25 @@ Even if your profession is not directly related to tech, still it's said that AI
 - LaTeX Examples - http://www.texample.net/
 
 #### Blogs/Articles
-- Terry Tao - http://terrytao.wordpress.com/
-- American Mathematical Society - http://blogs.ams.org/blogonmathblogs/
-- AMS notices - http://www.ams.org/notices/
-- The n-Category Café - https://golem.ph.utexas.edu/category/
-- Tim Gowers - http://gowers.wordpress.com/
-- ADD/XOR/ROL - http://addxorrol.blogspot.com/
-- Math with Bad Drawings - https://mathwithbaddrawings.com/
-- Math ∩ Programming - https://jeremykun.com/
-- Almost Looks Like Work - https://jasmcole.com/
-- Math3ma - https://www.math3ma.com/
-- Qiaochu Yuan - https://qchu.wordpress.com/
-- Carlos Matheus - https://matheuscmss.wordpress.com/
-- Burt Totaro - https://burttotaro.wordpress.com/
-- Igor Pak - https://igorpak.wordpress.com/
-- Alex Youcis - https://ayoucis.wordpress.com/
-- Low dimensional topology - https://ldtopology.wordpress.com/
-- Jordan Ellenberg - https://quomodocumque.wordpress.com/
-- Secret Blogging Seminar - https://sbseminar.wordpress.com/
-- Math Wizurd - http://www.mathwizurd.com/calc
+- [Terry Tao](http://terrytao.wordpress.com/)
+- [American Mathematical Society](http://blogs.ams.org/blogonmathblogs/)
+- [AMS notices](http://www.ams.org/notices/)
+- [The n-Category Café](https://golem.ph.utexas.edu/category/)
+- [Tim Gowers](http://gowers.wordpress.com/)
+- [ADD/XOR/ROL](http://addxorrol.blogspot.com/)
+- [Math with Bad Drawings](https://mathwithbaddrawings.com/)
+- [Math ∩ Programming](https://jeremykun.com/)
+- [Almost Looks Like Work](https://jasmcole.com/)
+- [Math3ma](https://www.math3ma.com/)
+- [Qiaochu Yuan](https://qchu.wordpress.com/)
+- [Carlos Matheus](https://matheuscmss.wordpress.com/)
+- [Burt Totaro](https://burttotaro.wordpress.com/)
+- [Igor Pak](https://igorpak.wordpress.com/)
+- [Alex Youcis](https://ayoucis.wordpress.com/)
+- [Low dimensional topology](https://ldtopology.wordpress.com/)
+- [Jordan Ellenberg](https://quomodocumque.wordpress.com/)
+- [Secret Blogging Seminar](https://sbseminar.wordpress.com/)
+- [Math Wizurd](http://www.mathwizurd.com/calc)
 
 #### Misc
 - academicearth.org - http://www.academicearth.org/subjects/mathematics
@@ -169,20 +169,21 @@ Even if your profession is not directly related to tech, still it's said that AI
 
 
 ### ⚙️ FREE MACHINE LEARNING COURSES:
-- Machine Learning by Andrew NG - https://www.coursera.org/learn/machine-learning
-- Intro to ML by Udacity - https://www.udacity.com/course/intro-to-machine-learning--ud120
-- EdX’s Learning from Data(Introductory Machine Learning) - https://www.edx.org/course/learning-from-data-introductory-machine-learning#!
-- Introduction to Machine Learning for Coders - http://course18.fast.ai/ml
-- Statistical Machine Learning by CMU - https://www.youtube.com/watch?list=PLTB9VQq8WiaCBK2XrtYn5t9uuPdsNm7YE&v=zcMnu-3wkWo
-- Coursera’s Neural Networks for Machine Learning - https://www.youtube.com/watch?list=PLoRl3Ht4JOcdU872GhiYWf6jwrk_SNhz9&v=cbeTc-Urqak
-- Kaggle Complete Roadmap for Machine Learning - https://www.kaggle.com/learn/overview
-- EdX’s Principles of Machine Learning - https://www.edx.org/course/principles-of-machine-learning
-- Coursera’s Machine Learning Specialization - https://www.coursera.org/specializations/machine-learning
-- Machine Learning Crash Course by Google - https://developers.google.com/machine-learning/crash-course
-- Machine Learning Course at W3Schools - https://www.w3schools.com/python/python_ml_getting_started.asp
-- Intro to Machine Learning Course at Kaggle - https://www.kaggle.com/learn/intro-to-machine-learning
-- Intermediate Machine Learning Course at Kaggle - https://www.kaggle.com/learn/intermediate-machine-learning
-- Machine Learning with Python - https://cognitiveclass.ai/courses/machine-learning-with-python
+- [Machine Learning by Andrew NG](https://www.coursera.org/learn/machine-learning)
+- [Intro to ML by Udacity](https://www.udacity.com/course/intro-to-machine-learning--ud120)
+- [EdX’s Learning from Data(Introductory Machine Learning)](https://www.edx.org/course/learning-from-data-introductory-machine-learning#!)
+- [Introduction to Machine Learning for Coders](http://course18.fast.ai/ml)
+- [Statistical Machine Learning by CMU](https://www.youtube.com/watch?list=PLTB9VQq8WiaCBK2XrtYn5t9uuPdsNm7YE&v=zcMnu-3wkWo)
+- [Coursera’s Neural Networks for Machine Learning](https://www.youtube.com/watch?list=PLoRl3Ht4JOcdU872GhiYWf6jwrk_SNhz9&v=cbeTc-Urqak)
+- [Kaggle Complete Roadmap for Machine Learning](https://www.kaggle.com/learn/overview)
+- [EdX’s Principles of Machine Learning](https://www.edx.org/course/principles-of-machine-learning)
+- [Coursera’s Machine Learning Specialization](https://www.coursera.org/specializations/machine-learning)
+- [Machine Learning Crash Course by Google](https://developers.google.com/machine-learning/crash-course)
+- [Machine Learning Course at W3Schools](https://www.w3schools.com/python/python_ml_getting_started.asp)
+- [Intro to Machine Learning Course at Kaggle](https://www.kaggle.com/learn/intro-to-machine-learning)
+- [Intermediate Machine Learning Course at Kaggle](https://www.kaggle.com/learn/intermediate-machine-learning)
+- [Machine Learning with Python](https://cognitiveclass.ai/courses/machine-learning-with-python)
+
 
 ### 📈 FREE DATA SCIENCE COURSES:
 - IBM Data Science Professional Certificate - https://www.coursera.org/professional-certificates/ibm-data-science
@@ -231,22 +232,22 @@ Even if your profession is not directly related to tech, still it's said that AI
 - Quandl - https://www.quandl.com/
 
 ### 🔬 AI RESEARCH AT BIG COMPANIES:
-- Machine Learning at Apple - https://machinelearning.apple.com/
-- AI at Uber - https://www.uber.com/us/en/uberai/
-- Machine Learning at Careem - https://blog.careem.com/en/tag/machine-learning/
-- Data Science at Grab - https://engineering.grab.com/categories/data-science/
-- Autopilot AI at Tesla - https://www.tesla.com/autopilotAI
-- AI at Microsoft - https://www.microsoft.com/en-us/ai
-- AI Research at Google - https://ai.google/research/
-- Self Driving Car Research at Lyft - https://medium.com/lyftlevel5
-- AI Research at Huawei - https://www.huawei.com/en/industry-insights/technology/ai
-- AI Research at Samsung - https://research.samsung.com/artificial-intelligence
-- AI at Alibaba - https://damo.alibaba.com/labs/ai
-- Data Science at Gojek - https://blog.gojekengineering.com/data-science/home 
-- Intelligent Transportation Technology and Security at Didi Chuxing - http://www.didi-labs.com/
-- Amazon Science - https://www.amazon.science/
-- Data Science at Bolt - https://medium.com/@boltapp
-- Industrial AI Research at Hitachi - https://www.hitachi.com/rd/sc/aiblog/index.html
+- [Machine Learning at Apple](https://machinelearning.apple.com/)
+- [AI at Uber](https://www.uber.com/us/en/uberai/)
+- [Machine Learning at Careem](https://blog.careem.com/en/tag/machine-learning/)
+- [Data Science at Grab](https://engineering.grab.com/categories/data-science/)
+- [Autopilot AI at Tesla](https://www.tesla.com/autopilotAI)
+- [AI at Microsoft](https://www.microsoft.com/en-us/ai)
+- [AI Research at Google](https://ai.google/research/)
+- [Self Driving Car Research at Lyft](https://medium.com/lyftlevel5)
+- [AI Research at Huawei](https://www.huawei.com/en/industry-insights/technology/ai)
+- [AI Research at Samsung](https://research.samsung.com/artificial-intelligence)
+- [AI at Alibaba](https://damo.alibaba.com/labs/ai)
+- [Data Science at Gojek](https://blog.gojekengineering.com/data-science/home )
+- [Intelligent Transportation Technology and Security at Didi Chuxing](http://www.didi-labs.com/)
+- [Amazon Science](https://www.amazon.science/)
+- [Data Science at Bolt](https://medium.com/@boltapp)
+- [Industrial AI Research at Hitachi](https://www.hitachi.com/rd/sc/aiblog/index.html)
 
 ### 💻 DEVELOPER RESOURCES:
 - Apple - https://developer.apple.com/machine-learning/
@@ -255,51 +256,51 @@ Even if your profession is not directly related to tech, still it's said that AI
 - Microsoft - https://docs.microsoft.com/en-us/ai/
 
 ### 🎥 YOUTUBE CHANNELS:
-- The Massachusetts Institute of Technology's Computer Science and Artificial Intelligence Laboratory - https://www.youtube.com/user/MITCSAIL/videos
-- The Allen Institute for Artificial Intelligence - https://www.youtube.com/channel/UCEqgmyWChwvt6MFGGlmUQCQ/videos
-- DeepMind - https://www.youtube.com/channel/UCP7jMXSY2xbc3KCAE0MHQ-A/videos
-- Applied AI Course - https://www.youtube.com/channel/UCJINtWke3-FMz2WuEltWDVQ/videos
-- StarCraft Artificial Intelligence Tournament - https://www.youtube.com/user/certicky/videos
-- Sentdex - Data Analysis Tutorials - https://www.youtube.com/c/sentdex/videos
-- Amazon - Machine Learning University - https://www.youtube.com/channel/UC12LqyqTQYbXatYS9AA7Nuw
-- Microsoft Research - https://www.youtube.com/user/MicrosoftResearch
-- Krish Nayak for ML/DL/Data Science - https://www.youtube.com/user/krishnaik06
-- TechWithTim - Python and ML Tutorials - https://www.youtube.com/channel/UC4JX40jDee_tINbkjycV4Sg
-- Jabrils https://www.youtube.com/channel/UCQALLeQPoZdZC4JNUboVEUg
+- [The Massachusetts Institute of Technology's Computer Science and Artificial Intelligence Laboratory](https://www.youtube.com/user/MITCSAIL/videos)
+- [The Allen Institute for Artificial Intelligence](https://www.youtube.com/channel/UCEqgmyWChwvt6MFGGlmUQCQ/videos)
+- [DeepMind](https://www.youtube.com/channel/UCP7jMXSY2xbc3KCAE0MHQ-A/videos)
+- [Applied AI Course](https://www.youtube.com/channel/UCJINtWke3-FMz2WuEltWDVQ/videos)
+- [StarCraft Artificial Intelligence Tournament](https://www.youtube.com/user/certicky/videos)
+- [Sentdex - Data Analysis Tutorials](https://www.youtube.com/c/sentdex/videos)
+- [Amazon - Machine Learning University](https://www.youtube.com/channel/UC12LqyqTQYbXatYS9AA7Nuw)
+- [Microsoft Research](https://www.youtube.com/user/MicrosoftResearch)
+- [Krish Nayak for ML/DL/Data Science](https://www.youtube.com/user/krishnaik06)
+- [TechWithTim - Python and ML Tutorials](https://www.youtube.com/channel/UC4JX40jDee_tINbkjycV4Sg)
+- [Jabrils](https://www.youtube.com/channel/UCQALLeQPoZdZC4JNUboVEUg)
 
 ### 💼 AI JOB SITES:
-- DataYoshi - https://www.datayoshi.com/
-- AI Jobs - https://aijobs.com/
-- AI-Jobs - https://ai-jobs.net/
-- Indeed - https://www.indeed.com/q-Artificial-Intelligence-jobs.html
-- Kaggle Jobs - https://www.kaggle.com/jobs
-- Remote AI/ML Jobs: https://www.remoteaijobs.com/
-- AI Jobs Board: https://aijobsboard.com/
+- [DataYoshi](https://www.datayoshi.com/)
+- [AI Jobs](https://aijobs.com/)
+- [AI-Jobs](https://ai-jobs.net/)
+- [Indeed](https://www.indeed.com/q-Artificial-Intelligence-jobs.html)
+- [Kaggle Jobs](https://www.kaggle.com/jobs)
+- [Remote AI/ML Jobs](https://www.remoteaijobs.com/)
+- [AI Jobs Board](https://aijobsboard.com/)
 
 ### 📝 AI BLOGS:
-- Towards Data Science: https://towardsdatascience.com/
-- Towards Machine Learning: https://towardsml.com/
-- Towards AI: https://medium.com/towards-artificial-intelligence
-- Fritz AI: https://heartbeat.fritz.ai/
-- The Batch: https://www.deeplearning.ai/thebatch/
-- AI Trends: https://www.aitrends.com/
-- DeepMind: https://deepmind.com/blog
-- Becoming HumanAI: https://becominghuman.ai
-- Berkeley Artificial Intelligence Research: https://bair.berkeley.edu/blog/
-- IBM Developer: https://developer.ibm.com/patterns/category/artificial-intelligence/
-- OpenAI: https://openai.com/
-- MIT News: https://news.mit.edu/topic/artificial-intelligence2
-- Baidu Research: http://research.baidu.com/
-- Algorithmia: https://algorithmia.com/blog
-- Machine Learning Mastery: https://machinelearningmastery.com/blog/
-- Learn OpenCV: https://www.learnopencv.com/
+- [Towards Data Science](https://towardsdatascience.com/)
+- [Towards Machine Learning](https://towardsml.com/)
+- [Towards AI](https://medium.com/towards-artificial-intelligence)
+- [Fritz AI](https://heartbeat.fritz.ai/)
+- [The Batch](https://www.deeplearning.ai/thebatch/)
+- [AI Trends](https://www.aitrends.com/)
+- [DeepMind](https://deepmind.com/blog)
+- [Becoming HumanAI](https://becominghuman.ai)
+- [Berkeley Artificial Intelligence Research](https://bair.berkeley.edu/blog/)
+- [IBM Developer](https://developer.ibm.com/patterns/category/artificial-intelligence/)
+- [OpenAI](https://openai.com/)
+- [MIT News](https://news.mit.edu/topic/artificial-intelligence2)
+- [Baidu Research](http://research.baidu.com/)
+- [Algorithmia](https://algorithmia.com/blog)
+- [Machine Learning Mastery](https://machinelearningmastery.com/blog/)
+- [Learn OpenCV](https://www.learnopencv.com/)
 
 ### AI CHEAT-SHEETS:
-- Best of AI Cheat-Sheets: https://becominghuman.ai/cheat-sheets-for-ai-neural-networks-machine-learning-deep-learning-big-data-science-pdf-f22dc900d2d7
-- Stanford CS229 Machine Learning: https://github.com/afshinea/stanford-cs-229-machine-learning
-- Stanford CS230 Deep Learning: https://github.com/afshinea/stanford-cs-230-deep-learning
-- Stanford CS221 Artificial Intelligence: https://github.com/afshinea/stanford-cs-221-artificial-intelligence
-- Collection of AI Cheat-Sheets: http://www.aicheatsheets.com/
+- [Best of AI Cheat-Sheets](https://becominghuman.ai/cheat-sheets-for-ai-neural-networks-machine-learning-deep-learning-big-data-science-pdf-f22dc900d2d7)
+- [Stanford CS229 Machine Learning](https://github.com/afshinea/stanford-cs-229-machine-learning)
+- [Stanford CS230 Deep Learning](https://github.com/afshinea/stanford-cs-230-deep-learning)
+- [Stanford CS221 Artificial Intelligence](https://github.com/afshinea/stanford-cs-221-artificial-intelligence)
+- [Collection of AI Cheat-Sheets](http://www.aicheatsheets.com/)
 
 # CONTRIBUTION GUIDELINES:
 Feel free to open a PR if you feel like something needs to be added or may be you want to suggest something.