Paris <br/><br/>
Practical simulations for machine learning  using synthetic data for AI 
/Paris  
 - 1st ed. 
 - Sebastopol, California  O'Reilly Media  c2022 
 - xv, 313 p.  ill.  23 cm. 
<br/><br/> Reprint, 2022 
<br/><br/>Includes index 
<br/><br/> Simulation and synthesis are core parts of the future of AI and machine learning. Consider: programmers, data scientists, and machine learning engineers can create the brain of a self-driving car without the car. Rather than use information from the real world, you can synthesize artificial data using simulations to train traditional machine learning models.That’s just the beginning. 
<br/><br/><label>ISBN: </label>9789355422705 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Machine learning; Artificial intelligence Computer simulation;  Apprentissage automatique Simulation
<br/><br/><label>Dewey Class. No.: </label>006.31  / PAR