Books and Articles
• Artificial Intelligence: A Modern Approach" by Stuart Russell & Peter Norvig
• Machines That Think: The Future of Artificial Intelligence" by Toby Walsh
• Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron
• Speech and Language Processing" by Dan Jurafsky & James H. Martin
• Programming Computer Vision with Python" by Jan Erik Solem
• Artificial Intelligence in Practice: How 50 Successful Companies Used AI and Machine Learning to Solve Problems" by Bernard Marr & Matt Ward
• Grokking Artificial Intelligence Algorithms" by Rishal Hurbans
• The Data Science Handbook" by Carl Shan, William Chen, Henry Wang, Max Song
• Python Data Visualization Cookbook" by Igor Milovanovic
• Ethics of Artificial Intelligence and Robotics" edited by Vincent C. Muller
• Autonomous Driving: How the Driverless Revolution Will Change the World" by Andreas Herrmann, Walter Brenner, & Rupert Stadler
• Artificial Intelligence: A Guide for Thinking Humans by Melanie Mitchell
• Python Crash Course by Eric Matthes
• Real Python – Intermediate Python: https://realpython.com/tutorials/intermediate/
• Scikit-learn – User Guide: https://scikit-learn.org/stable/user_guide.html
• Data Science from Scratch by Joel Grus
• Towards Data Science articles: https://towardsdatascience.com
• Deep Learning for Computer Vision by Rajalingappaa Shanmugamani
• Generative Deep Learning by David Foster
• How Smart Machines Think By Sean Gerrish
• The Future Computed: Artificial Intelligence and Its Role in Society By Microsoft Corp.
• Artificial Intelligence - A New Age of Possibilities - Article in TIME Magazine
• 10 Best AI Tools for Education by Alex McFarland(unite.ai/10 -best-ai-tools-for-education)
• AITopics, article collection from Association for the Advancement of Artificial Intelligence(aitopics.org/search)
• Machine Learning for Dummies - By John Paul Mueller and Luca Massaron
• Make Your Own Neural Network – By Tariq Rashid
• Machine Learning: The New AI - By Ethem Alpaydin
• Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies - By John D. Kelleher, Brian Mac Namee, Aoife D’Arcy
• Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
• Fluent Python by Luciano Ramalho
• Effective Python by Brett Slatkin
• Python Data Science Handbook by Jake VanderPlas
• Data Science for Business by Foster Provost and Tom Fawcett
• Fundamentals of Data Visualization by Claus O. Wilke
• AI for Social Good Reports – UNESCO, OECD
• Real-World AI Applications – McKinsey Insights
Podcasts
• MIT Computer Science and Artificial Intelligence Lab Alliances Podcast: “How AI will shape the future of education” (cap.csail.mit.edu/podcasts/how-ai-will-shape-future-education-hal-abelson)
• The AI Alignment Podcast" by The Future of Life Institute (Future of Life Institute Podcast | Podcast on Spotify)
• The Real Python Podcast(realpython.com/podcasts/rpp)
• AI Today Podcast" by Cognilytica (cognilytica.com/category/podcasts)
• SuperDataScience Podcast" by Kirill Eremenko (superdatascience.com/podcast)
• The AI Element" by Synced (syncedreview.com/the-ai-element)
• AI Alignment Podcast – DeepMind/80000 Hours - https://80000hours.org/podcast/episodes/rohin-shah-deepmind-doomers-and-doubters/
• The TWIML AI Podcast by Sam Charrington - https://twimlai.com/podcast/twimlai/
• https://80000hours.org/ai-book/
• OnEdMentors Podcast: “ChatGPT and AI in EDU” (voiced.ca/podcast_episode_post/chatgpt-and-ai-in-edu)
• “22 AI Podcasts Worth a Listen” by Lisa Bertagnoli(builtin.com/artificial-intelligence/ai-podcast)
• The EdTech Bites Podcast(edtechbites.libsyn.com/ep-184-the-ai-evolution-in-education-rachelle-den-poths-top-3-picks-for-ai-in-education)
Videos
• What is AI (https://www.youtube.com/watch?v=ad79nYk2keg)
• Python tutorial (https://www.youtube.com/watch?v=rfscVS0vtbw)
• AI is being applied in various industries.(https://www.youtube.com/watch?v=8rAiTDQ-NVY)
• A discussion on the ethical implications of AI(https://www.youtube.com/watch?v=J5XflxXYf4k)
• The future of robotics and autonomous technologies(https://www.youtube.com/watch?v=INwwxI5MJhw)
• CrashCourse – Artificial Intelligence: https://youtu.be/2ePf9rue1Ao
• IBM – What is AI?: https://www.ibm.com/cloud/learn/what-is-artificial-intelligence
• Corey Schafer – Intermediate Python Playlist: https://youtube.com/playlist?list=PL-osiE80TeTt2d9bfVyTiXJA-UTHn6WwU
• freeCodeCamp – Intermediate Python Course: https://www.youtube.com/watch?v=HGOBQPFzWKo
• StatQuest with Josh Starmer – Machine Learning Simplified: https://www.youtube.com/user/joshstarmer
• Andrew Ng’s Machine Learning Specialization: https://www.coursera.org/learn/machine-learning
• Data Science 101 – IBM: https://cognitiveclass.ai/courses/data-science-hands-open-source-tools-2
• NLP Course – Stanford (CS224n): https://www.youtube.com/playlist?list=PLoROMvodv4rO1NB9TD4iUZ3qghGEGtqNX
• Machine Learning (https://www.youtube.com/watch?v=ukzFI9rgwfU&t=24s)
• Neural Network Architectures & Deep Learning (https://www.youtube.com/watch?v=oJNHXPs0XDk&t=147s)
• Crash Course AI Series – YouTube
• Stanford CS231n – Convolutional Neural Networks
• Python for Data Science – freeCodeCamp
• Python Data Visualization Crash Course – YouTube
• MIT CSAIL – AI Careers Panel
• https://worth.com/video/ai-for-social-good-how-technology-is-empowering-marginalized-communities/
• https://www.microsoft.com/en-us/research/video/ai-for-social-good-key-techniques-applications-and-results/
