Eva

Those who travel to mountain tops are half in love with themselves, and half in love with oblivion.

Told as the history of mountains and moutaineering Macfarlane investigates humanity's fascination with high altitude. He documents our relationship with mountains over the last couple centuries: from storytellers of geological history, to romantic pursuits of solitude, to fatal obsessions to reach earth's highest points.

Mountaineering is build on myths of glory, it's a collection of tales from those who survive and those who don't. And those stories exert forces ons us that pull us upwards. They propell us to go where no one else has gone before, to explore the unknown, to risk our lives for the bliss and clarity that awaits on mountain tops.

I loved this, as i love all tales of explorers of the unkown.

This seems to be the only up-to-date book out there giving an overview of the discipline of Machine Learning, but nobody seems to be quite happy with it, and I can see why.

Domingos goes in detail on what he calls the “five tribes” of machine learning:

- Symbolism / Logic with it's decision trees and inverse deduction
- Connectionism with its multilayer perceptrons and backpropagation
- Evolutionaries with their genetic algorithms
- Bayesians with probabilistic inference
- Analogizers with their support vector machines

The level of complexity of his explanations and examples isn't well balanced, some are easy to follow, while other's are just too high-level and would require more hand-holding. Nevertheless you get a decent overview of the field.

The book fails where the author tries to insert himself, his opinions and his quest for the “Master Algorithm”. Or when he tries to add creative analogies, as when he describes the 5 machine learning strategies as boroughs of a city. And then spends multiple pages riffing on that analogy.

My first foray into the crime fiction genre, and i enjoyed it enough to finish it, but I don't think I'll stick around for more. Even though French is really good at writing characters - here I've definitely enjoyed the detective's perspective a lot more than the kids' - the who-dunnit mystery isn't really my thing. Also, I nearly stopped reading/listening when a sudden supernatural element entered the plot. But, as other reviewers noted, it's a side plot, that's not necessarily too relevant for the plot. So, all in all, it was a decent entertaining listen.

Child-like, epileptic Prince Myshkin returns to Russia and gets tangled up in a doomed back-and-forth love obsession, into which he pulls another teasing girl to complete it to a very flighty love quadrangle. We have to see him be pushed around by his own naive emotions and endless good will towards everyone, and by manipulations of his friends and foes. And in between it all we meet a wide range of characters, having long wordy encounters. Even though Dostoyevsky is obviously remarkable with his character descriptions, I have to only give this 3 stars because despite the novel's concise message, I found most of its characters and their often too-long monologues very frustrating. Some characters and plot-lines that were only supposed to be side-stories, expanded and took over whole parts (especially the inheritance plot in part 2 and the very tedious Hippolite in part 3).

Okay I am hooked. Two girls growing up in the poor neighboorhood of Naples. They push and pull, they support each other, they compete and hurt each other, and always always influence each other. My only complaint: Why couldn't Ferrante publish all 4 books all at once, make one giant 1400 page mammoth with tiny fonts and super-thin translucent pages. It would feel more like the epic I am sure it's going to be.