Muguruza aitor (6 Ergebnisse)
An Introduction To Python For Quantitative Finance: From Scratch To Productivity
Bilokon, Paul Alexander; Jacquier, Antoine; Mackie, Ewan; Muguruza, Aitor
- Hardcover
Anbieter: California Books, Miami, FL, USACalifornia Books
Verkäufer/-in kontaktierenVerkäufer/-in mit 4 SternenZustand: Neu
EUR 105,05
Versand gratisVersand innerhalb von USAAnzahl: Mehr als 20 verfügbar
Zustand: New.
Python, Data Science and Machine Learning: From Scratch to Productivity
Bilokon, Paul Alexander; Jacquier, Antoine; Mackie, Ewan; Muguruza, Aitor
- Hardcover
Anbieter: Books Puddle, New York, NY, USABooks Puddle
Verkäufer/-in kontaktierenVerkäufer/-in mit 4 SternenZustand: Neu
EUR 104,15
EUR 3,45 VersandVersand innerhalb von USAAnzahl: 1 verfügbar
Zustand: New.
Python, Data Science and Machine Learning: From Scratch to Productivity
Bilokon, Paul Alexander; Jacquier, Antoine; Mackie, Ewan; Muguruza, Aitor
- Hardcover
Anbieter: Majestic Books, Hounslow, Vereinigtes KönigreichMajestic Books
Verkäufer/-in kontaktierenVerkäufer/-in mit 4 SternenZustand: Neu
EUR 105,04
EUR 7,60 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
Zustand: New.
Python, Data Science and Machine Learning: From Scratch to Productivity
Bilokon, Paul Alexander; Jacquier, Antoine; Mackie, Ewan; Muguruza, Aitor
- Hardcover
Anbieter: Biblios, frankfurt am main, HESSE, DeutschlandBiblios
Verkäufer/-in kontaktierenVerkäufer/-in mit 4 SternenZustand: Neu
EUR 106,16
EUR 9,95 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Zustand: New.
Weitere BilderAn Introduction To Python For Quantitative Finance: From Scratch To Productivity
Paul Alexander Bilokon, Antoine Jacquier, Ewan Mackie, Aitor Muguruza
- Hardcover
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes KönigreichRarewaves.com USA
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 123,32
Versand gratisVersand von Vereinigtes Königreich nach USAAnzahl: 12 verfügbar
Hardback. Zustand: 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 prof…essionals.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
- Hardcover
Anbieter: Rarewaves.com UK, London, Vereinigtes KönigreichRarewaves.com UK
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 125,83
EUR 76,00 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 12 verfügbar
Hardback. Zustand: 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 prof…essionals.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.
