Sinopsis de ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING WITH R
In a VUCA world which is becoming increasingly volatile uncertain and complex companies organizations and states must respond promptly and adequately to the respective situations Making decisions based on past experiences is less successful in these times than having an accurate understanding of current conditions The importance of empirical sciences continuous environmental observation timely analysis of causal relationships and deriving new insights from them is increasing From this it can be deduced which measures are likely to achieve one s goals with predictable probability such as which price for an offer generates the desired demand or which marketing measure reaches the desired target group Where classical statistics were once used for calculations and predictions today free open source tools like R allow data in various formats and from any number of sources to be read in processed and analyzed using methods of Artificial Intelligence and Machine Learning The results can then be perfectly visualized so that decision makers can benefit quickly and effectively The age of Data Science has arrived Digitalization is more than a buzzword or a promise it is actionable and usable for everyone This book teaches you based on the latest version
Ficha técnica
Editorial: Springer
ISBN: 9783658453916
Idioma: Inglés
Número de páginas: 493
Encuadernación: Tapa blanda
Fecha de lanzamiento: 19/09/2024
Año de edición: 2024
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