Chapter 8. The future of the intelligent web
This chapter covers
- Summary and review
- Future applications of the intelligent web
- Social implications of the intelligent web
In this book, we’ve presented to you the current state of the intelligent web and walked you through the basics, teaching you what an intelligent algorithm is and how to evaluate one. Your eyes should now be open to the plethora of intelligent algorithms you’re interacting with on a daily basis! You’ve learned about design considerations and the key pitfalls you should try to avoid in your work.
The current philosophy of machine learning is that “more data beats a cleverer algorithm.”[1] As you’ve seen in the case of deep learning, it’s been possible to make great advances due to the changing nature of computing and the internet. So much information is available on the web that channeling and accessing it appropriately becomes of utmost importance. This is the focus of the appendix. Although it may seem removed from what many consider an intelligent algorithm, we can’t stress enough the importance to the enthusiast of having at least a passing interest in this area. Future practitioners in this space will absolutely need to know the magnitude, velocity, and availability of their real-time data.
1Pedro Domingos, “A Few Useful Things to Know about Machine Learning,” Communications of the ACM 55, no. 10 (October 2012): 78–87.