Muguruza aitor (6 risultati)
An Introduction To Python For Quantitative Finance: From Scratch To Productivity
Bilokon, Paul Alexander; Jacquier, Antoine; Mackie, Ewan; Muguruza, Aitor
- Rilegato
Da: California Books, Miami, FL, U.S.A.California Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 105,05
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
Condizione: New.
Python, Data Science and Machine Learning: From Scratch to Productivity
Bilokon, Paul Alexander; Jacquier, Antoine; Mackie, Ewan; Muguruza, Aitor
- Rilegato
Da: Books Puddle, New York, NY, U.S.A.Books Puddle
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 104,15
EUR 3,45 spedizioneSpedito in U.S.A.Quantità: 1 disponibili
Condizione: New.
Python, Data Science and Machine Learning: From Scratch to Productivity
Bilokon, Paul Alexander; Jacquier, Antoine; Mackie, Ewan; Muguruza, Aitor
- Rilegato
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 105,04
EUR 7,60 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Condizione: New.
Python, Data Science and Machine Learning: From Scratch to Productivity
Bilokon, Paul Alexander; Jacquier, Antoine; Mackie, Ewan; Muguruza, Aitor
- Rilegato
Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 106,16
EUR 9,95 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Condizione: New.
Altre immaginiAn Introduction To Python For Quantitative Finance: From Scratch To Productivity
Paul Alexander Bilokon, Antoine Jacquier, Ewan Mackie, Aitor Muguruza
- Rilegato
Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 123,32
Spedizione gratuitaSpedito da Regno Unito a U.S.A.Quantità: 4 disponibili
Hardback. Condizione: New. This book is written for both newcomers and experienced practitioners working at the intersection of data science, machine learning, and finance. It is designed to allow readers with no formal prerequisites to enter these fields with confidence, while also providing sufficient depth to be valuable to p…rofessionals.Beginning with a gentle introduction to Python, the book gradually progresses to more advanced language features and the mathematical foundations required to understand key models in quantitative finance. Throughout, the emphasis is on developing both conceptual understanding and practical skills.The material strikes a careful balance between the mathematics underpinning modern financial models and the practical considerations of data science and machine learning. Concepts are introduced and reinforced through hands-on case studies based on real financial datasets, enabling readers to gain experience working with realistic data and workflows.The contents of this book have been refined over many years of teaching to students and practitioners with diverse backgrounds at Imperial College London and the Thalesians Intensive Summer School in Artificial Intelligence, and reflects both academic rigor and real-world relevance.
An Introduction To Python For Quantitative Finance: From Scratch To Productivity
Paul Alexander Bilokon, Antoine Jacquier, Ewan Mackie, Aitor Muguruza
- Rilegato
Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 125,83
EUR 76,00 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 12 disponibili
Hardback. Condizione: New. This book is written for both newcomers and experienced practitioners working at the intersection of data science, machine learning, and finance. It is designed to allow readers with no formal prerequisites to enter these fields with confidence, while also providing sufficient depth to be valuable to p…rofessionals.Beginning with a gentle introduction to Python, the book gradually progresses to more advanced language features and the mathematical foundations required to understand key models in quantitative finance. Throughout, the emphasis is on developing both conceptual understanding and practical skills.The material strikes a careful balance between the mathematics underpinning modern financial models and the practical considerations of data science and machine learning. Concepts are introduced and reinforced through hands-on case studies based on real financial datasets, enabling readers to gain experience working with realistic data and workflows.The contents of this book have been refined over many years of teaching to students and practitioners with diverse backgrounds at Imperial College London and the Thalesians Intensive Summer School in Artificial Intelligence, and reflects both academic rigor and real-world relevance.
