Reviews
Algorithms to Live By: What Computers Can Teach Us About Solving Human Problems by Tom Griffiths
polythenesam's review against another edition
funny
informative
inspiring
lighthearted
reflective
medium-paced
5.0
tomasz99's review against another edition
4.0
Po semestrze algorytmów miłe odświeżenie, ale i duże rozszerzenie mojej wiedzy.
To książka niekoniecznie dla zainteresowanych IT, to książka naprawdę lifestylowa, życiowa.
Napisana przez ludzi interdyscyplinarnych - informatyka i filozofa-lingwisty czy psychologa i statystyka.
Przez algorytmikę poznajemy tu pracę umysłu, rady dot. działania z ograniczeniami. A porady zawarte w książce są poparte dowodami ;)
To książka niekoniecznie dla zainteresowanych IT, to książka naprawdę lifestylowa, życiowa.
Napisana przez ludzi interdyscyplinarnych - informatyka i filozofa-lingwisty czy psychologa i statystyka.
Przez algorytmikę poznajemy tu pracę umysłu, rady dot. działania z ograniczeniami. A porady zawarte w książce są poparte dowodami ;)
rebeccazh's review against another edition
Really interesting book. This is like brain food and the analytical part of me was really enjoying it. This book is split into 5-6 long chapters, each covering an aspect of decision-making (e.g. to search or to settle) using computational thinking and logic. I was especially interested in the last chapter about game theory - explains a lot about the things that I see around me.
takoyakiprincess's review against another edition
3.0
Some parts were so painful to read because it was just really drawn out. However, the concepts were interesting and piqued further research. I would give this a 3.5/5!
s166harth's review against another edition
adventurous
challenging
informative
reflective
fast-paced
5.0
whitmc's review against another edition
3.0
I am not the intended audience for this book, I came to decide. Interesting concepts, for sure, but buried in long technical explanations of computer science concepts and historical background about how those concepts came about. Made it to the end, but got to the point where each time a section started with "In 1856..." I would start quickly skimming. If you like computer science concepts, go ahead and pick this up.
matty_icey's review against another edition
4.0
This was an awesome book about the underlying algorithms in our world. Favorite parts:
Everyone rises to their own level of incompetence. Once you get to a level where you aren’t good at something, you don’t advance because you aren’t worthy of it, and thus are stuck. One can conclude that we are all doing what we are not great at.
On marriage: “If the prisoner is happy, why lock him in? If the prisoner isn’t, why pretend he is?” - George Shaw
On when you should stop looking for a better deal, parking spot, home, or job applicant: Stop after you’ve collected 30% of the data you want and then take the next one that is the best you’ve seen. Or take anything above your baseline average. This is scientifically your best odds at getting the best option. See the secretary dilemma.
Sometimes just relaxing one or two constraints can make things much easier. If you you want the perfect “whatever” let’s say vacation, then research planning etc is going to take time. But a good vacation may be just intuitive and take no time at all to plan without the hassle. Good is better than perfect.
You can beat computers in chess by playing the clock and after grid locking the board making random movements. The computer wastes time trying to figure out what your ever changing strategy is and loses by running out of time. This is assuming you can avoid getting check mated while making fast non-sensical moves. I loved this ha.
Everyone rises to their own level of incompetence. Once you get to a level where you aren’t good at something, you don’t advance because you aren’t worthy of it, and thus are stuck. One can conclude that we are all doing what we are not great at.
On marriage: “If the prisoner is happy, why lock him in? If the prisoner isn’t, why pretend he is?” - George Shaw
On when you should stop looking for a better deal, parking spot, home, or job applicant: Stop after you’ve collected 30% of the data you want and then take the next one that is the best you’ve seen. Or take anything above your baseline average. This is scientifically your best odds at getting the best option. See the secretary dilemma.
Sometimes just relaxing one or two constraints can make things much easier. If you you want the perfect “whatever” let’s say vacation, then research planning etc is going to take time. But a good vacation may be just intuitive and take no time at all to plan without the hassle. Good is better than perfect.
You can beat computers in chess by playing the clock and after grid locking the board making random movements. The computer wastes time trying to figure out what your ever changing strategy is and loses by running out of time. This is assuming you can avoid getting check mated while making fast non-sensical moves. I loved this ha.
jinwooooo's review against another edition
informative
reflective
medium-paced
3.75
I thought it would be more specific CS algorithms application to real world, but it was more general abstract ideas.