There is no mathematics, though, rather it is all Statistics and the apprehension associated with Big Data when it comes to application either through AI or ML. Most of the time we may agree with almost all of the author’s views but there is no algorithm anywhere as the title suggests, and instead O'Neil takes us on a tour of a collection of business and public policy malpractices, stating that the solution is to "encode values into our algorithms.". This might really be useful for some. With a few real stuff inside I think it would be an excellent book for those with skills and interest in social justice to take to an interview with Big Data firms.
#Quantum_Physics_Made_me_do_it - Jeremie_Harris - Review
There have been so far relevant guides to the most paradoxical notions proposed around quantum world throughout the last century. Some cut out the unnecessarily complex way of explaining concepts, and this one really hits its mark in terms of being the perfect introduction to quantum mechanics and the questions that arise from it for complete novices or for those looking for a light-hearted science reader. The book happens to be packed with science and excellent discussions on the repercussions for humanity if certain theories are in fact correct but fails midway when the author switches over to criticizing other writers. Here is the brief break-up as we move through the books.
#Humble_Pi: A comedy of Maths Errors - #Matt_Parker - Review
#Infinite_Powers: The_Story_of_Calculus-The_ Language_of_ the_Universe - #Steven_Strogatz - Review
#The_Singularity_is_Nearer: When we merge with AI - Ray_Kurzweil - #Review
The book starts with “where we stand” in terms of epochs with the present one being a merger of bio-science with technology. The idea th...



