EPISODE · Mar 18, 2025 · 25 MIN
Essential AI 101: Bridging the Knowledge Gap: Data Skills and the Importance of Data in AI - Episode 3
from AI Innovations Unleashed · host JR DeLaney
Reference ListRussell, S., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach (4th ed.). Pearson.Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.Kelleher, J. D. (2019). Deep Learning (MIT Press Essential Knowledge Series).Domingos, P. (2015). The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World. Basic Books.Additional ResourcesGoogle’s Machine Learning Crash Course – https://developers.google.com/machine-learning/crash-courseIBM Data Science Professional Certificate (Coursera) – https://www.coursera.org/professional-certificates/ibm-data-scienceStanford’s CS229: Machine Learning Course – https://cs229.stanford.edu/Tableau Public – https://public.tableau.com/The Elements of AI (University of Helsinki) – https://www.elementsofai.com/Google Cloud BigQuery for SQL & Data Analysis – https://cloud.google.com/bigqueryAdditional ReadingsGebru, T., et al. (2018). "Datasheets for Datasets." arXiv preprint arXiv:1803.09010.Discusses ethical AI data collection and how biases in training data impact AI outcomes.Ng, A. (2018). "AI Transformation Playbook." Landing AI.A guide to how businesses can adopt AI, focusing on the role of data preparation and model training.LeCun, Y., Bengio, Y., & Hinton, G. (2015). "Deep Learning." Nature, 521(7553), 436–444.Covers the foundations of deep learning and how AI models learn from massive datasets.Cathy O'Neil (2016). Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy.A critical look at AI bias, data ethics, and the real-world consequences of bad data.Dwork, C., & Mulligan, D. K. (2013). "It’s Not Privacy, and It’s Not Fair." Stanford Law Review Online, 66, 35.Explores the privacy and fairness implications of AI-driven decision-making.Pasquale, F. (2020). New Laws of Robotics: Defending Human Expertise in the Age of AI.Discusses the ethical and societal impact of data-driven AI decision-making.Send us Fan MailSupport the showWant to go deeper than the podcast?Join The Unleashed — the growing AI Innovations Unleashed community for educators, parents, students, leaders, and curious minds navigating the future of AI together. Members get deeper discussions, exclusive insights, behind-the-scenes content, early updates, and a place to explore how artificial intelligence is reshaping education and society in real time.AI is moving fast. You don’t have to figure it out alone.Join The Unleashed:https://www.aiinnovationsunleashed.com/become-a-supporter-join-the-unleashed/
What this episode covers
Reference List Russell, S., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach (4th ed.). Pearson.Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.Kelleher, J. D. (2019). Deep Learning (MIT Press Essential Knowledge Series).Domingos, P. (2015). The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World. Basic Books.Additional Resources Google’s Machine Learning Crash Course – https://developers.google.com/machin...
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Essential AI 101: Bridging the Knowledge Gap: Data Skills and the Importance of Data in AI - Episode 3
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