Machine Learning meets Blockchain
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Machine learning and blockchain each have their own strengths that could be combined to create more powerful applications. Machine learning excels at making predictions from large datasets but relies on centralized systems and lacks transparency. Blockchain provides a decentralized, transparent system for recording transactions but does not have machine learning's predictive capabilities. By combining the two, it may be possible to develop models with better performance that are also securely deployed on decentralized networks using blockchain. This could result in more data leading to better models, more accurate results and improved decisions over time.
Machine Learning meets Blockchain
- 1. What Happens If Machine Learning meets Blockchain Sefik Ilkin Serengil
- 2. sefiks.com serengil Sefik Ilkin Serengil Software Developer @ ‘10 CS graduate, MSc @ ’11
- 3. Data is the new oil (The Economist, 2017) 753B 739B72B782B 138B 2.2B Total: 2.4T $ France GDP: 2.5T $
- 5. Geoffrey Hinton Professor at University of Toronto, Fellow at Google Brain Inventor of Backpropagation - Learning Algorithm of Neural Networks Deep Learning is an algorithm which has no theoretical limitations of what it can learn; the more data you give and the more computational time you provide, the better it is
- 6. Andrew Ng Prof. at Stanford University Founder of Coursera, Chief Scientist at Baidu I have worked all my life in Machine Learning, and I’ve never seen one algorithm knock over benchmarks like Deep Learning
- 9. Reported to have lost $136.5 billion in market cap
- 14. https://towardsdatascience.com/breaking-neural-networks-with-adversarial-attacks-f4290a9a45aa Classified as Speed Limit: 45 mph sign!
- 19. Peter Thiel Founder of Paypal Angel investor of Facebook Crypto is libertarian, AI is communist. https://www.youtube.com/watch?v=-iYpmOV60ks
- 20. Reid Hoffman Cofounder of Linkedin and Paypal Angel investor of Facebook Crypto is anarchy, AI is the rule of laws https://www.youtube.com/watch?v=-iYpmOV60ks
- 21. Blockchain is deterministic whereas ML is probabilistic
- 22. Blockchain has a decentralized architecture
- 23. ML has a centralized architecture
- 24. Blockchain transactions are transparent
- 25. Deep learning is a totally black box
- 26. Blockchain transactions are permanent
- 28. Deployment Time BusinessValue Model Model Remodel / retrain ML models are changing Model PositiveNegative
- 30. sefiks.com serengil Thank you for your attention! Credit: Yasemin Dalkilic