Applied Machine Learning: Using Machine Learning to Solve Business Problems - Brossura

Hodson, Jason

Brossura

ISBN 10: 1493227580 ISBN 13: 9781493227587

Casa editrice: Rheinwerk Computing, 2026

Riassunto

Put machine learning theory into practice with this hands-on guide! Learn about the real-world application of machine learning models by following three use cases, each with its own dataset. Get started with tools like GitHub and Anaconda, and then follow detailed instructions to prepare your data, select your model, evaluate its results, and measure its impact over time. With sample code for download, this book has everything you need to implement machine learning models for your business!

• Your practical introduction to applied machine learning
• Select and implement machine learning models to solve business problems
• Evaluate model results and monitor your models long term

Su questo libro

Informazioni sull?autore

Jason Hodson has worked in data-centric roles for nearly a decade. He currently works as an HR analytics manager, and he has prior experience in a forecasting role using the full range of applied machine learning. In a previous role, Jason wrote the end-to-end code for an enterprise hiring manager and candidate experience process, collaborating with recruiting leaders to understand and leverage data from a company-wide survey. He’s built large data models and dashboards and taught nontechnical users how to adopt and use them. Jason has been a technical mentor in all his roles, helping others develop their analytics and programming skill set. The common thread across Jason’s career is his ability to be a translator for stakeholders, peers, and junior team members. His learning journey also gives him a unique perspective: Before earning a master’s degree in business analytics, he was entirely self-taught. This has made his approach to teaching more practical, allowing concepts to translate better (and faster) into the business world.

Dettagli dell'edizione

• Editore: Rheinwerk Computing
• Data di pubblicazione: 2026
• Lingua: Inglese
• ISBN 10: 1493227580
• ISBN 13: 9781493227587
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 450
• Contatto del produttore: Info@rheinwerk-verlag.de; Info@rheinwerk-verlag.de; ; Rheinwerkallee 4; Bonn; 53227; Germania