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Soccer Analytics with Machine Learning: Learning Predictive Modeling Techniques with Sports Data
Autor:
Opis
Opis
Struggling to grasp machine learning concepts or unsure how to apply them in the real world? This book aims to change that by using the world's most popular game—soccer—to illuminate key concepts in predictive modeling and data science. Whether you're a complete beginner or you're interested in entering the burgeoning field of sports analytics, you'll develop a solid foundation in machine learning through engaging examples that bridge academic principles with practical applications.
Written by experts in both machine learning and sports analytics, this practical Python-focused guide introduces fundamental data science techniques using real soccer data. Ideal for students, analysts, and soccer fans alike, it offers instructions on models and techniques such as logistic regression, random forests, deep learning, simulations, and feature engineering. But instead of memorizing algorithms, you'll learn by building predictive models to analyze match outcomes, test betting strategies, run simulated game scenarios, and more.
Understand machine learning concepts by working with real sports data
Develop, refine, and evaluate machine learning models, using Python for data analysis
Carry out detailed analyses and research on soccer game predictions and betting strategies to surface valuable insights
Apply the skills you learn to predictive modeling scenarios in other industries
Producent/osoba odpowiedzialna za bezpieczeństwo produktu
APN Promise
Domaniewska 44a
02-672 Warszawa
biuro@promise.pl
233551600
Written by experts in both machine learning and sports analytics, this practical Python-focused guide introduces fundamental data science techniques using real soccer data. Ideal for students, analysts, and soccer fans alike, it offers instructions on models and techniques such as logistic regression, random forests, deep learning, simulations, and feature engineering. But instead of memorizing algorithms, you'll learn by building predictive models to analyze match outcomes, test betting strategies, run simulated game scenarios, and more.
Understand machine learning concepts by working with real sports data
Develop, refine, and evaluate machine learning models, using Python for data analysis
Carry out detailed analyses and research on soccer game predictions and betting strategies to surface valuable insights
Apply the skills you learn to predictive modeling scenarios in other industries
Producent/osoba odpowiedzialna za bezpieczeństwo produktu
APN Promise
Domaniewska 44a
02-672 Warszawa
biuro@promise.pl
233551600
Szczegóły
Szczegóły
Data wydania: 14.08.2026
Liczba stron: 300
Wymiary: 17.8x23.2
Typ okładki:miękka okładka
Wydawca: O'Reilly Media
Autor:
Tytuł:Soccer Analytics with Machine Learning: Learning Predictive Modeling Techniques with Sports Data
EAN: 9781098181116
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Recenzje
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Nasza cena:202,56 zł
Cena katalogowa dostawcy: 270,90 zł
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