ΠΠ΅Ρ ΠΎΡΠ·ΡΠ²ΠΎΠ²
ΠΠ½Π½ΠΎΡΠ°ΡΠΈΡ
| ΠΠ·Π΄Π°ΡΠ΅Π»ΡΡΡΠ²ΠΎ | |
|---|---|
| Π‘ΡΡΠ°Π½ΠΈΡ | 303 |
| ΠΠΎΠ΄, ΡΠΈΡΠ°ΠΆ | 2019 |
ΠΠ΅ Π² Π½Π°Π»ΠΈΡΠΈΠΈ
ΠΡΠ·ΡΠ²Ρ
0ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ ΠΈ Ρ Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ
Since Aristotle, we have fought to understand the causes behind everything. But this ideology is fading. In the age of big data, we can crunch an incomprehensible amount of information, providing us with invaluable insights about the what rather than the why.We're just starting to reap the benefits: tracking vital signs to foresee deadly infections, predicting building fires, anticipating the best moment to buy a plane ticket, seeing inflation in real time and monitoring social media in order to identify trends. But there is a dark side to big data. Will it be machines, rather than people, that make the decisions? How do you regulate an algorithm? What will happen to privacy? Will individuals be punished for acts they have yet to commit?In this groundbreaking and fascinating book, two of the world's most-respected data experts reveal the reality of a big data world and outline clear and actionable steps that will equip the reader with the tools needed for this next phase of human evolution.
| ΠΠΎΠ΄ | 2724780 |
|---|---|
| ΠΠ·Π΄Π°ΡΠ΅Π»ΡΡΡΠ²ΠΎ | |
| ΠΠΎΠ»-Π²ΠΎ ΡΡΡΠ°Π½ΠΈΡ | 303 |
| ΠΠΎΠ΄ ΠΈΠ·Π΄Π°Π½ΠΈΡ | 2019 |
| Π Π°Π·Π΄Π΅Π» | ΠΡΠΎΡΠΈΠ΅ ΠΈΠ·Π΄Π°Π½ΠΈΡ Π½Π° Π°Π½Π³Π»ΠΈΠΉΡΠΊΠΎΠΌ |
| Π Π°Π·ΠΌΠ΅ΡΡ | 2 ΡΠΌ Γ 12.8 ΡΠΌ Γ 19.7 ΡΠΌ |
| ΠΠ΅Ρ | 0.23 ΠΊΠ³ |