AI Glossary References

• Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., ... & Bengio, Y. (2014). Generative adversarial nets. Advances in neural information processing systems, 27.
• Russell, S., & Norvig, P. (2009). Artificial Intelligence: A Modern Approach. Prentice Hall.
• Goertzel, B. (2007). Artificial General Intelligence. Springer.
• Cormen, T. H., Leiserson, C. E., Rivest, R. L., & Stein, C. (2009). Introduction to Algorithms. MIT Press.
• Bostrom, N. (2014). Superintelligence: Paths, Dangers, Strategies. Oxford University Press.
• Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., ... & Polosukhin, I. (2017). Attention is all you need. Advances in neural information processing systems, 30.
• Hinton, G. E., & Salakhutdinov, R. R. (2006). Reducing the dimensionality of data with neural networks. Science, 313(5786), 504-507.
• Graves, A. (2013). Generating sequences with recurrent neural networks. arXiv preprint arXiv:1308.0850.
• Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1986). Learning representations by back-propagating errors. Nature, 323(6088), 533-536.
• Pearl, J. (1988). Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann.
• Friedman, J., Hastie, T., & Tibshirani, R. (2001). The Elements of Statistical Learning. Springer.
• Mayer-Schönberger, V., & Cukier, K. (2013). Big Data: A Revolution That Will Transform How We Live, Work, and Think. Houghton Mifflin Harcourt.
• Schapire, R. E. (1990). The strength of weak learnability. Machine Learning, 5(2), 197-227.
• Devlin, J., Chang, M. W., Lee, K., & Toutanova, K. (2018). BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. arXiv preprint arXiv:1810.04805.
• Hinton, G. E., & Sejnowski, T. J. (1986). Learning and Relearning in Boltzmann Machines. MIT Press.
• Ioffe, S., & Szegedy, C. (2015). Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift. arXiv preprint arXiv:1502.03167.
• Han, J., Pei, J., & Kamber, M. (2011). Data Mining: Concepts and Techniques. Elsevier.
• Hastie, T., Tibshirani, R., & Friedman, J. (2009). The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer.
• Murphy, K. P. (2012). Machine Learning: A Probabilistic Perspective. MIT Press.
• Srivastava, N., Hinton, G., Krizhevsky, A., Sutskever, I., & Salakhutdinov, R. (2014). Dropout: A Simple Way to Prevent Neural Networks from Overfitting. Journal of Machine Learning Research, 15, 1929-1958.
• Shi, W., Cao, J., Zhang, Q., Li, Y., & Xu, L. (2016). Edge Computing: Vision and Challenges. IEEE Internet of Things Journal, 3(5), 637-646.
• Mikolov, T., Chen, K., Corrado, G., & Dean, J. (2013). Efficient Estimation of Word Representations in Vector Space. arXiv preprint arXiv:1301.3781.
• Dietterich, T. G. (2000). Ensemble Methods in Machine Learning. In Multiple Classifier Systems (pp. 1-15). Springer.
• Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.
• Tukey, J. W. (1977). Exploratory Data Analysis. Addison-Wesley.
• Holt, C. C. (2004). Forecasting seasonals and trends by exponentially weighted moving averages. International Journal of Forecasting, 20(1), 5-10.
• Gunning, D. (2017). Explainable Artificial Intelligence (XAI). Defense Advanced Research Projects Agency (DARPA).
• Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., ... & Amodei, D. (2020). Language Models are Few-Shot Learners. arXiv preprint arXiv:2005.14165.
• Kingma, D. P., & Welling, M. (2014). Auto-Encoding Variational Bayes. arXiv preprint arXiv:1312.6114.
• LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep Learning. Nature, 521(7553), 436-444.
• W3Schools
• MDN Web Docs
• freeCodeCamp
• AI Terms 101: An A to Z AI Terminology Guide for Beginners - MethodShop
• 60+ Generative AI Terms You Must Know By Heart - Analytics Vidhya
• Generative AI Definitions: A to Z Glossary Terms - Coursera
• Comprehensive AI and Machine Learning Glossary - Graphite Note
• Artificial Intelligence Glossary - Rezo.ai
• 100 Deep Learning Terms Explained - GeeksforGeeks
• Artificial Intelligence (AI) Terms: A to Z Glossary - Coursera
• Comprehensive AI and Machine Learning Glossary - Graphite Note
• Generative AI Glossary: Terms and Definitions You Should Know - Lore
• Generative AI Glossary - Interview Kickstart
• AI Glossary | AI terms starting with alphabet R - Leena
• AI Glossary: Key Artificial Intelligence Terms (100+ Terms) - Cutout.Pro