Day - 39 Resources:
1. https://towardsdatascience.com/understanding-feature-engineering-part-2-categorical-data-f54324193e63
2. https://www.datacamp.com/community/tutorials/categorical-data
3.https://www.analyticsvidhya.com/blog/2015/11/easy-methods-deal-categorical-variables-predictive-modeling/
4. https://machinelearningmastery.com/how-to-prepare-categorical-data-for-deep-learning-in-python/
5. https://medium.com/hugo-ferreiras-blog/dealing-with-categorical-features-in-machine-learning-1bb70f07262d
6.https://medium.com/data-design/visiting-categorical-features-and-encoding-in-decision-trees-53400fa65931
7.
1. https://towardsdatascience.com/understanding-feature-engineering-part-2-categorical-data-f54324193e63
2. https://www.datacamp.com/community/tutorials/categorical-data
3.https://www.analyticsvidhya.com/blog/2015/11/easy-methods-deal-categorical-variables-predictive-modeling/
4. https://machinelearningmastery.com/how-to-prepare-categorical-data-for-deep-learning-in-python/
5. https://medium.com/hugo-ferreiras-blog/dealing-with-categorical-features-in-machine-learning-1bb70f07262d
6.https://medium.com/data-design/visiting-categorical-features-and-encoding-in-decision-trees-53400fa65931
7.
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9 Free Resources To Learn Transfer Learning
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1. https://blog.floydhub.com/introduction-to-adversarial-machine-learning/
2. https://openai.com/blog/adversarial-example-research/
3. https://arxiv.org/abs/1602.02697
4. https://aaai18adversarial.github.io/
5. https://www.toptal.com/machine-learning/adversarial-machine-learning-tutorial
6. https://towardsdatascience.com/evasion-attacks-on-machine-learning-or-adversarial-examples-12f2283e06a1
7. https://www.youtube.com/watch?v=xHpwLiTieu4
8. https://medium.com/@ageitgey/machine-learning-is-fun-part-8-how-to-intentionally-trick-neural-networks-b55da32b7196
2. https://openai.com/blog/adversarial-example-research/
3. https://arxiv.org/abs/1602.02697
4. https://aaai18adversarial.github.io/
5. https://www.toptal.com/machine-learning/adversarial-machine-learning-tutorial
6. https://towardsdatascience.com/evasion-attacks-on-machine-learning-or-adversarial-examples-12f2283e06a1
7. https://www.youtube.com/watch?v=xHpwLiTieu4
8. https://medium.com/@ageitgey/machine-learning-is-fun-part-8-how-to-intentionally-trick-neural-networks-b55da32b7196
1. https://www.nytimes.com/2016/06/26/opinion/sunday/artificial-intelligences-white-guy-problem.html
2. https://www.businessbecause.com/news/insights/6709/is-artificial-intelligence-biased
3. https://www.mckinsey.com/featured-insights/artificial-intelligence/tackling-bias-in-artificial-intelligence-and-in-humans#
4. https://onezero.medium.com/how-tech-algorithms-become-infected-with-the-biases-of-their-creators-d19756352dc9
5. https://medium.com/bakken-b%C3%A6ck/how-biased-ai-can-teach-us-to-be-better-humans-3be60ebbe558
6. https://medium.com/mit-media-lab/the-algorithms-arent-biased-we-are-a691f5f6f6f2
2. https://www.businessbecause.com/news/insights/6709/is-artificial-intelligence-biased
3. https://www.mckinsey.com/featured-insights/artificial-intelligence/tackling-bias-in-artificial-intelligence-and-in-humans#
4. https://onezero.medium.com/how-tech-algorithms-become-infected-with-the-biases-of-their-creators-d19756352dc9
5. https://medium.com/bakken-b%C3%A6ck/how-biased-ai-can-teach-us-to-be-better-humans-3be60ebbe558
6. https://medium.com/mit-media-lab/the-algorithms-arent-biased-we-are-a691f5f6f6f2