|
|
|
|
| LEADER |
00000ntm a22000007u 4500 |
| 001 |
zp66696 |
| 041 |
|
|
|a eng
|
| 100 |
1 |
|
|a Bian Theke, Pierre Pascal
|4 dis
|
| 245 |
1 |
0 |
|a Odhadování cen jízdného v taxislužbě pomocí strojového učení
|
| 246 |
|
|
|a Estimating Taxi Fares Using Machine Learning
|
| 260 |
|
|
|c 2024
|
| 300 |
|
|
|a 84 p.
|
| 500 |
|
|
|a Studijní obor: Information Technologies
|
| 500 |
|
|
|a Studijní obor: Information Technologies
|
| 500 |
|
|
|a Ústav: Ústav informatiky a umělé inteligence
|
| 500 |
|
|
|a Univerzita Tomáše Bati ve Zlíně. Fakulta aplikované informatiky
|
| 500 |
|
|
|a Tomas Bata University in Zlín. Faculty of Applied Informatics
|
| 506 |
|
|
|a Bez omezení
|
| 653 |
|
|
|a Artificial Intelligence
|
| 653 |
|
|
|a Machine Learning
|
| 653 |
|
|
|a Random Forest Algorithm
|
| 653 |
|
|
|a Taxi Fare Prediction
|
| 653 |
|
|
|a Market Analysis
|
| 653 |
|
|
|a Price Estimation
|
| 653 |
|
|
|a Data Acquisition
|
| 653 |
|
|
|a Model Configuration
|
| 653 |
|
|
|a Hyperparameter Selection
|
| 653 |
|
|
|a Data Pre-processing
|
| 653 |
|
|
|a Fare Estimation Effectiveness
|
| 653 |
|
|
|a Taxi Industry Revolution
|
| 653 |
|
|
|a Artificial Intelligence
|
| 653 |
|
|
|a Machine Learning
|
| 653 |
|
|
|a Random Forest Algorithm
|
| 653 |
|
|
|a Taxi Fare Prediction
|
| 653 |
|
|
|a Market Analysis
|
| 653 |
|
|
|a Price Estimation
|
| 653 |
|
|
|a Data Acquisition
|
| 653 |
|
|
|a Model Configuration
|
| 653 |
|
|
|a Hyperparameter Selection
|
| 653 |
|
|
|a Data Pre-processing
|
| 653 |
|
|
|a Fare Estimation Effectiveness
|
| 653 |
|
|
|a Taxi Industry Revolution
|
| 655 |
|
4 |
|a diplomová práce
|
| 700 |
1 |
|
|a Šenkeřík, Roman
|4 ths
|
| 710 |
2 |
|
|a Univerzita Tomáše Bati ve Zlíně. Fakulta aplikované informatiky
|4 dgg
|
| 710 |
2 |
|
|a Tomas Bata University in Zlín. Faculty of Applied Informatics
|4 dgg
|
| 856 |
4 |
0 |
|u http://hdl.handle.net/10563/55136
|y Plný text v Digitální knihovně UTB
|