Gao haipeng (30 risultati)

- Brossura
Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 39,15
EUR 5,86 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 15 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

- Brossura
Da: Rarewaves USA, HEBRON, KY, U.S.A.Rarewaves USA
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 46,15
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
Paperback. Condizione: New. 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 enteri…ng 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 dataDevelop, refine, and evaluate machine learning models, using Python for data analysisCarry out detailed analyses and research on soccer game predictions and betting strategies to surface valuable insightsApply the skills you learn to predictive modeling scenarios in other industries.

- Brossura
Da: California Books, Miami, FL, U.S.A.California Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 47,72
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
Condizione: New.

- Brossura
Da: CreativeCenters, Peoria, IL, U.S.A.CreativeCenters
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 44,53
EUR 4,72 spedizioneSpedito in U.S.A.Quantità: 1 disponibili
paperback. Condizione: New.

- Brossura
Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 43,64
EUR 6,80 spedizioneSpedito da Italia a U.S.A.Quantità: Più di 20 disponibili
Condizione: new.

- Brossura
Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 54,17
Spedizione gratuitaSpedito da Regno Unito a U.S.A.Quantità: 3 disponibili
Paperback. Condizione: New. 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 enteri…ng 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 dataDevelop, refine, and evaluate machine learning models, using Python for data analysisCarry out detailed analyses and research on soccer game predictions and betting strategies to surface valuable insightsApply the skills you learn to predictive modeling scenarios in other industries.

- Brossura
Da: BargainBookStores, Grand Rapids, MI, U.S.A.BargainBookStores
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 58,53
Spedizione gratuitaSpedito in U.S.A.Quantità: 5 disponibili
Paperback or Softback. Condizione: New. Soccer Analytics with Machine Learning: Learning Predictive Modeling Techniques with Sports Data. Book.

- Brossura
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 51,79
EUR 7,58 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 3 disponibili
Condizione: New.

- Brossura
Da: Chiron Media, Wallingford, Regno UnitoChiron Media
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 42,50
EUR 18,07 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 6 disponibili
paperback. Condizione: New.

- Brossura
Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 48,31
EUR 18,68 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Paperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.

- Brossura
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 59,60
EUR 14,58 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 2 disponibili
Paperback. Condizione: Brand New. 300 pages. 9.19x7.00x9.19 inches. In Stock.

- Brossura
- Prima edizione
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 67,18
EUR 9,50 spedizioneSpedito da Irlanda a U.S.A.Quantità: 6 disponibili
Condizione: New. 2026. 1st Edition. paperback. . . . . .

- Brossura
Da: Books Puddle, New York, NY, U.S.A.Books Puddle
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 79,83
EUR 3,42 spedizioneSpedito in U.S.A.Quantità: 3 disponibili
Condizione: New.

- Brossura
Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 72,49
EUR 9,95 spedizioneSpedito da Germania a U.S.A.Quantità: 3 disponibili
Condizione: New.

- Brossura
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 60,50
EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. Neuware -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. 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 300 pp. Englisch.

- Brossura
Da: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, GermaniaRheinberg-Buch Andreas Meier eK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 60,50
EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. Neuware -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. 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 300 pp. Englisch.

- Brossura
Da: Wegmann1855, Zwiesel, GermaniaWegmann1855
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 60,50
EUR 25,95 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. Neuware -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. 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.

- Brossura
Da: Speedyhen, Hertfordshire, Regno UnitoSpeedyhen
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 40,42
EUR 47,83 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 6 disponibili
Condizione: NEW.

- Brossura
Da: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 82,13
EUR 9,01 spedizioneSpedito in U.S.A.Quantità: 6 disponibili
Condizione: New. 2026. 1st Edition. paperback. . . . . . Books ship from the US and Ireland.

- Brossura
Da: Rarewaves USA United, HEBRON, KY, U.S.A.Rarewaves USA United
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 48,21
EUR 42,90 spedizioneSpedito in U.S.A.Quantità: Più di 20 disponibili
Paperback. Condizione: New. 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 enteri…ng 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 dataDevelop, refine, and evaluate machine learning models, using Python for data analysisCarry out detailed analyses and research on soccer game predictions and betting strategies to surface valuable insightsApply the skills you learn to predictive modeling scenarios in other industries.

- Brossura
Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 82,68
EUR 31,74 spedizioneSpedito da Australia a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. 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 intereste…d 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 dataDevelop, refine, and evaluate machine learning models, using Python for data analysisCarry out detailed analyses and research on soccer game predictions and betting strategies to surface valuable insightsApply the skills you learn to predictive modeling scenarios in other industries 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

- Brossura
Da: preigu, Osnabrück, Germaniapreigu
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 49,20
EUR 70,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. Soccer Analytics with Machine Learning | Learning Predictive Modeling Techniques with Sports Data | Haipeng Gao (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2026 | O'Reilly Media | EAN 9781098181116 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld…, gpsr[at]libri[dot]de | Anbieter: preigu.

- Brossura
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 60,50
EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. Neuware -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. 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 industriesLibri GmbH, Europaallee 1, 36244 Bad Hersfeld 300 pp. Englisch.

- Brossura
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 59,99
EUR 63,01 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. Neuware - 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. You'll develop a solid foundation in machine learnin…g 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.

- Brossura
Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 51,09
EUR 75,82 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 3 disponibili
Paperback. Condizione: New. 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 enteri…ng 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 dataDevelop, refine, and evaluate machine learning models, using Python for data analysisCarry out detailed analyses and research on soccer game predictions and betting strategies to surface valuable insightsApply the skills you learn to predictive modeling scenarios in other industries.

- Brossura
Da: Books-by-Floh, Paderborn, GermaniaBooks-by-Floh
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 60,50
EUR 105,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. Neuware -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. 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 300 pp. Englisch.

- Brossura
- Print on Demand
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 46,14
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. 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 intereste…d 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 dataDevelop, refine, and evaluate machine learning models, using Python for data analysisCarry out detailed analyses and research on soccer game predictions and betting strategies to surface valuable insightsApply the skills you learn to predictive modeling scenarios in other industries 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

- Brossura
- Print on Demand
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 54,86
EUR 14,58 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 2 disponibili
Paperback. Condizione: Brand New. 300 pages. 9.19x7.00x9.19 inches. In Stock. This item is printed on demand.

- Brossura
- Print on Demand
Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 52,90
EUR 18,68 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Paperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

- Brossura
- Print on Demand
Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 61,27
EUR 43,16 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. 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 intereste…d 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 dataDevelop, refine, and evaluate machine learning models, using Python for data analysisCarry out detailed analyses and research on soccer game predictions and betting strategies to surface valuable insightsApply the skills you learn to predictive modeling scenarios in other industries 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.