Gunnu venkata (31 risultati)
Applied Data Science Using PySpark: Learn the End-to-End Predictive Model-Building Cycle
Kakarla, Ramcharan,Krishnan, Sundar,Dhamodharan, Balaji,Gunnu, Venkata
Editore: Apress, 2024
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Da: Books From California, Simi Valley, CA, U.S.A.Books From California
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Practical Solutions for Modern Nlp Challenges : Mastering Llms and Slms for Real-world Nlp in Cloud and Open-source
Reddy Minukuri, Anvesh; Gunnu, Venkata; Shah, Shubham; Gopu, Jayanth; Meenakshi Sundaram, Sundar Krishnan (EDT)
- Brossura
Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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EUR 31,41
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Condizione: New.
Practical Solutions for Modern NLP Challenges: Mastering LLMs and SLMs for Real-World NLP in Cloud and Open-Source
Gunnu, Venkata; Shah, Shubham; Minukuri, Anvesh; Gopu, Jayanth
- Brossura
Da: California Books, Miami, FL, U.S.A.California Books
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EUR 33,77
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Condizione: New.
Practical Solutions for Modern Nlp Challenges : Mastering Llms and Slms for Real-world Nlp in Cloud and Open-source
Reddy Minukuri, Anvesh; Gunnu, Venkata; Shah, Shubham; Gopu, Jayanth; Meenakshi Sundaram, Sundar Krishnan (EDT)
- Brossura
Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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EUR 32,65
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Condizione: As New. Unread book in perfect condition.
Editore: Apress, 2026
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Da: Emerald Green Media, Simi Valley, CA, U.S.A.Emerald Green Media
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Aggiungi al carrellopaperback. Condizione: Very Good. Clean Copy, May have light wear on cover/edges, otherwise very good! Established Seller, We Ship Daily.
Applied Data Science Using Pyspark : Learn the End-to-end Predictive Model-building Cycle
Kakarla, Ramcharan; Krishnan, Sundar; Dhamodharan, Balaji; Gunnu, Venkata
- Brossura
Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Condizione: As New. Unread book in perfect condition.
Applied Data Science Using Pyspark : Learn the End-to-end Predictive Model-building Cycle
Kakarla, Ramcharan; Krishnan, Sundar; Dhamodharan, Balaji; Gunnu, Venkata
- Brossura
Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Condizione: New.
Applied Data Science Using PySpark: Learn the End-to-End Predictive Model-Building Cycle
Kakarla, Ramcharan; Krishnan, Sundar; Dhamodharan, Balaji; Gunnu, Venkata
- Brossura
Da: California Books, Miami, FL, U.S.A.California Books
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EUR 47,99
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Condizione: New.
Practical Solutions for Modern NLP Challenges
Gunnu, Venkata; Shah, Shubham; Minukuri, Anvesh; Gopu, Jayanth
- Brossura
Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Practical Solutions for Modern NLP Challenges
Gunnu, Venkata; Shah, Shubham; Minukuri, Anvesh; Gopu, Jayanth
- Brossura
Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Practical Solutions for Modern Nlp Challenges : Mastering Llms and Slms for Real-world Nlp in Cloud and Open-source
Reddy Minukuri, Anvesh; Gunnu, Venkata; Shah, Shubham; Gopu, Jayanth; Meenakshi Sundaram, Sundar Krishnan (EDT)
- Brossura
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
EUR 39,68
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Condizione: As New. Unread book in perfect condition.
Practical Solutions for Modern Nlp Challenges : Mastering Llms and Slms for Real-world Nlp in Cloud and Open-source
Reddy Minukuri, Anvesh; Gunnu, Venkata; Shah, Shubham; Gopu, Jayanth; Meenakshi Sundaram, Sundar Krishnan (EDT)
- Brossura
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 43,50
EUR 17,49 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Condizione: New.
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Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA
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EUR 67,11
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Paperback. Condizione: New. Large Language Models (LLMs) have revolutionized Natural Language Processing (NLP), enabling advanced applications such as machine translation, text summarization, and sentiment analysis. This book serves as a comprehensive guide for data scientists, machine learning engineers, and developers, offerin…g foundational theory and practical skills to harness the power of LLMs for real-world problems. From understanding the fundamentals of LLMs to deploying them in cloud and open-source environments, this book equips readers with the essential knowledge to excel in modern NLP.The book takes a hands-on approach, guiding readers through the end-to-end deployment of LLMs-from data collection and preprocessing to model training, evaluation, and real-time inference. Using popular frameworks like Amazon SageMaker and Hugging Face Transformers, you'll explore practical tasks such as text generation, classification, and named entity recognition. Additionally, it delves into industry use cases like customer support chatbots and content generation while addressing emerging trends, scaling techniques, and ethical considerations like bias and fairness in AI. This is your ultimate resource for mastering LLMs in production-ready environments.You Will:Learn to implement cutting-edge NLP tasks such as text generation, sentiment analysis, and named entity recognition using AWS services and open-source tools like Hugging Face.Understand best practices for scaling and maintaining NLP models in production, focusing on real-time performance, monitoring, and iterative improvements.Practice techniques for training and optimizing LLMs, covering data preprocessing, hyperparameter tuning, and evaluation strategies.This book is for: Data scientists, Machine learning engineers, and developers.
Applied Data Science Using Pyspark : Learn the End-to-end Predictive Model-building Cycle
Kakarla, Ramcharan; Krishnan, Sundar; Dhamodharan, Balaji; Gunnu, Venkata
- Brossura
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
EUR 52,53
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Condizione: As New. Unread book in perfect condition.
Applied Data Science Using Pyspark : Learn the End-to-end Predictive Model-building Cycle
Kakarla, Ramcharan; Krishnan, Sundar; Dhamodharan, Balaji; Gunnu, Venkata
- Brossura
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 56,07
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Condizione: New.
- Brossura
Da: Wegmann1855, Zwiesel, GermaniaWegmann1855
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 48,14
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Taschenbuch. Condizione: Neu. Neuware -Large Language Models (LLMs) have revolutionized Natural Language Processing (NLP), enabling advanced applications such as machine translation, text summarization, and sentiment analysis. This book serves as a comprehensive guide for data scientists, machine learning engineers, and develope…rs, offering foundational theory and practical skills to harness the power of LLMs for real-world problems. From understanding the fundamentals of LLMs to deploying them in cloud and open-source environments, this book equips readers with the essential knowledge to excel in modern NLP.The book takes a hands-on approach, guiding readers through the end-to-end deployment of LLMs-from data collection and preprocessing to model training, evaluation, and real-time inference. Using popular frameworks like Amazon SageMaker and Hugging Face Transformers, you'll explore practical tasks such as text generation, classification, and named entity recognition. Additionally, it delves into industry use cases like customer support chatbots and content generation while addressing emerging trends, scaling techniques, and ethical considerations like bias and fairness in AI. This is your ultimate resource for mastering LLMs in production-ready environments.You Will:Learn to implement cutting-edge NLP tasks such as text generation, sentiment analysis, and named entity recognition using AWS services and open-source tools like Hugging Face.Understand best practices for scaling and maintaining NLP models in production, focusing on real-time performance, monitoring, and iterative improvements.Practice techniques for training and optimizing LLMs, covering data preprocessing, hyperparameter tuning, and evaluation strategies.This book is for:Data scientists, Machine learning engineers, and developers.
Applied Data Science Using PySpark
Kakarla, Ramcharan; Krishnan, Sundar; Dhamodharan, Balaji; Gunnu, Venkata
- Brossura
Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 80,16
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Applied Data Science Using PySpark
Kakarla, Ramcharan; Krishnan, Sundar; Dhamodharan, Balaji; Gunnu, Venkata
- Brossura
Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 74,24
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Applied Data Science Using PySpark
Ramcharan Kakarla, Sundar Krishnan, Balaji Dhamodharan, Venkata Gunnu
- Brossura
Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 85,03
Spedizione gratuitaSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Paperback. Condizione: New. Second Edition. This comprehensive guide, featuring hand-picked examples of daily use cases, will walk you through the end-to-end predictive model-building cycle using the latest techniques and industry tricks. In Chapters 1, 2, and 3, we will begin by setting up the environment and covering the basic…s of PySpark, focusing on data manipulation. Chapter 4 delves into the art of variable selection, demonstrating various techniques available in PySpark. In Chapters 5, 6, and 7, we explore machine learning algorithms, their implementations, and fine-tuning techniques. Chapters 8 and 9 will guide you through machine learning pipelines and various methods to operationalize and serve models using Docker/API. Chapter 10 will demonstrate how to unlock the power of predictive models to create a meaningful impact on your business. Chapter 11 introduces some of the most widely used and powerful modeling frameworks to unlock real value from data. In this new edition, you will learn predictive modeling frameworks that can quantify customer lifetime values and estimate the return on your predictive modeling investments. This edition also includes methods to measure engagement and identify actionable populations for effective churn treatments. Additionally, a dedicated chapter on experimentation design has been added, covering steps to efficiently design, conduct, test, and measure the results of your models. All code examples have been updated to reflect the latest stable version of Spark. You will:Gain an overview of end-to-end predictive model buildingUnderstand multiple variable selection techniques and their implementationsLearn how to operationalize modelsPerform data science experiments and learn useful tips.
Applied Data Science Using PySpark: Learn the End-to-End Predictive Model-Building Cycle
Kakarla, Ramcharan; Krishnan, Sundar; Dhamodharan, Balaji; Gunnu, Venkata
- Brossura
Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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EUR 73,30
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Condizione: New. In.
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Da: preigu, Osnabrück, Germaniapreigu
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EUR 41,15
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Taschenbuch. Condizione: Neu. Practical Solutions for Modern NLP Challenges | Mastering LLMs and SLMs for Real-World NLP in Cloud and Open-Source | Venkata Gunnu (u. a.) | Taschenbuch | xxv | Englisch | 2026 | Apress | EAN 9798868820557 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberge…r Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
- Brossura
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 48,14
EUR 65,27 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. Neuware - Large Language Models (LLMs) have revolutionized Natural Language Processing (NLP), enabling advanced applications such as machine translation, text summarization, and sentiment analysis. Thisbook serves as a comprehensive guide for data scientists, machine learning engineers, and develope…rs, offering foundational theory and practical skills to harness the power of LLMs for real-world problems. From understanding the fundamentals of LLMs to deploying them in cloud and open-source environments, this book equips readers with the essential knowledge to excel in modern NLP.The book takes a hands-on approach, guiding readers through the end-to-end deployment of LLMs-from data collection and preprocessing to model training, evaluation, and real-time inference. Using popular frameworks like Amazon SageMaker and Hugging Face Transformers, you'll explore practical tasks such as text generation, classification, and named entity recognition. Additionally, it delves into industry use cases like customer support chatbots and content generation while addressing emerging trends, scaling techniques, and ethical considerations like bias and fairness in AI. This is your ultimate resource for mastering LLMs in production-ready environments.You Will:Learn to implement cutting-edge NLP tasks such as text generation, sentiment analysis, and named entity recognition using AWS services and open-source tools like Hugging Face.Understand best practices for scaling and maintaining NLP models in production, focusing on real-time performance, monitoring, and iterative improvements.Practice techniques for training and optimizing LLMs, covering data preprocessing, hyperparameter tuning, and evaluation strategies.This book is for: Data scientists, Machine learning engineers, and developers.
- Brossura
Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 64,58
EUR 75,78 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Paperback. Condizione: New. Large Language Models (LLMs) have revolutionized Natural Language Processing (NLP), enabling advanced applications such as machine translation, text summarization, and sentiment analysis. This book serves as a comprehensive guide for data scientists, machine learning engineers, and developers, offerin…g foundational theory and practical skills to harness the power of LLMs for real-world problems. From understanding the fundamentals of LLMs to deploying them in cloud and open-source environments, this book equips readers with the essential knowledge to excel in modern NLP.The book takes a hands-on approach, guiding readers through the end-to-end deployment of LLMs-from data collection and preprocessing to model training, evaluation, and real-time inference. Using popular frameworks like Amazon SageMaker and Hugging Face Transformers, you'll explore practical tasks such as text generation, classification, and named entity recognition. Additionally, it delves into industry use cases like customer support chatbots and content generation while addressing emerging trends, scaling techniques, and ethical considerations like bias and fairness in AI. This is your ultimate resource for mastering LLMs in production-ready environments.You Will:Learn to implement cutting-edge NLP tasks such as text generation, sentiment analysis, and named entity recognition using AWS services and open-source tools like Hugging Face.Understand best practices for scaling and maintaining NLP models in production, focusing on real-time performance, monitoring, and iterative improvements.Practice techniques for training and optimizing LLMs, covering data preprocessing, hyperparameter tuning, and evaluation strategies.This book is for: Data scientists, Machine learning engineers, and developers.
- Brossura
Da: Books-by-Floh, Paderborn, GermaniaBooks-by-Floh
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 48,14
EUR 105,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. Neuware -Large Language Models (LLMs) have revolutionized Natural Language Processing (NLP), enabling advanced applications such as machine translation, text summarization, and sentiment analysis. This book serves as a comprehensive guide for data scientists, machine learning engineers, and develope…rs, offering foundational theory and practical skills to harness the power of LLMs for real-world problems. From understanding the fundamentals of LLMs to deploying them in cloud and open-source environments, this book equips readers with the essential knowledge to excel in modern NLP.The book takes a hands-on approach, guiding readers through the end-to-end deployment of LLMs-from data collection and preprocessing to model training, evaluation, and real-time inference. Using popular frameworks like Amazon SageMaker and Hugging Face Transformers, you'll explore practical tasks such as text generation, classification, and named entity recognition. Additionally, it delves into industry use cases like customer support chatbots and content generation while addressing emerging trends, scaling techniques, and ethical considerations like bias and fairness in AI. This is your ultimate resource for mastering LLMs in production-ready environments.You Will: Learn to implement cutting-edge NLP tasks such as text generation, sentiment analysis, and named entity recognition using AWS services and open-source tools like Hugging Face. Understand best practices for scaling and maintaining NLP models in production, focusing on real-time performance, monitoring, and iterative improvements. Practice techniques for training and optimizing LLMs, covering data preprocessing, hyperparameter tuning, and evaluation strategies.This book is for: Data scientists, Machine learning engineers, and developers 568 pp. Englisch.
Applied Data Science Using PySpark
Ramcharan Kakarla, Sundar Krishnan, Balaji Dhamodharan, Venkata Gunnu
- Brossura
Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 82,27
EUR 75,78 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Paperback. Condizione: New. Second Edition. This comprehensive guide, featuring hand-picked examples of daily use cases, will walk you through the end-to-end predictive model-building cycle using the latest techniques and industry tricks. In Chapters 1, 2, and 3, we will begin by setting up the environment and covering the basic…s of PySpark, focusing on data manipulation. Chapter 4 delves into the art of variable selection, demonstrating various techniques available in PySpark. In Chapters 5, 6, and 7, we explore machine learning algorithms, their implementations, and fine-tuning techniques. Chapters 8 and 9 will guide you through machine learning pipelines and various methods to operationalize and serve models using Docker/API. Chapter 10 will demonstrate how to unlock the power of predictive models to create a meaningful impact on your business. Chapter 11 introduces some of the most widely used and powerful modeling frameworks to unlock real value from data. In this new edition, you will learn predictive modeling frameworks that can quantify customer lifetime values and estimate the return on your predictive modeling investments. This edition also includes methods to measure engagement and identify actionable populations for effective churn treatments. Additionally, a dedicated chapter on experimentation design has been added, covering steps to efficiently design, conduct, test, and measure the results of your models. All code examples have been updated to reflect the latest stable version of Spark. You will:Gain an overview of end-to-end predictive model buildingUnderstand multiple variable selection techniques and their implementationsLearn how to operationalize modelsPerform data science experiments and learn useful tips.
- Brossura
- Print on Demand
Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 39,22
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Condizione: new. Questo è un articolo print on demand.
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- Print on Demand
Da: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, GermaniaRheinberg-Buch Andreas Meier eK
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EUR 48,14
EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Large Language Models (LLMs) have revolutionized Natural Language Processing (NLP), enabling advanced applications such as machine translation, text summarization, and sentiment analysis. Thisbook serves as a comprehensive guide fo…r data scientists, machine learning engineers, and developers, offering foundational theory and practical skills to harness the power of LLMs for real-world problems. From understanding the fundamentals of LLMs to deploying them in cloud and open-source environments, this book equips readers with the essential knowledge to excel in modern NLP.The book takes a hands-on approach, guiding readers through the end-to-end deployment of LLMs-from data collection and preprocessing to model training, evaluation, and real-time inference. Using popular frameworks like Amazon SageMaker and Hugging Face Transformers, you'll explore practical tasks such as text generation, classification, and named entity recognition. Additionally, it delves into industry use cases like customer support chatbots and content generation while addressing emerging trends, scaling techniques, and ethical considerations like bias and fairness in AI. This is your ultimate resource for mastering LLMs in production-ready environments.You Will:Learn to implement cutting-edge NLP tasks such as text generation, sentiment analysis, and named entity recognition using AWS services and open-source tools like Hugging Face.Understand best practices for scaling and maintaining NLP models in production, focusing on real-time performance, monitoring, and iterative improvements.Practice techniques for training and optimizing LLMs, covering data preprocessing, hyperparameter tuning, and evaluation strategies.This book is for: Data scientists, Machine learning engineers, and developers 568 pp. Englisch.
- Brossura
- Print on Demand
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 48,14
EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Large Language Models (LLMs) have revolutionized Natural Language Processing (NLP), enabling advanced applications such as machine translation, text summarization, and sentiment analysis. Thisbook serves as a comprehensive guide fo…r data scientists, machine learning engineers, and developers, offering foundational theory and practical skills to harness the power of LLMs for real-world problems. From understanding the fundamentals of LLMs to deploying them in cloud and open-source environments, this book equips readers with the essential knowledge to excel in modern NLP.The book takes a hands-on approach, guiding readers through the end-to-end deployment of LLMs-from data collection and preprocessing to model training, evaluation, and real-time inference. Using popular frameworks like Amazon SageMaker and Hugging Face Transformers, you'll explore practical tasks such as text generation, classification, and named entity recognition. Additionally, it delves into industry use cases like customer support chatbots and content generation while addressing emerging trends, scaling techniques, and ethical considerations like bias and fairness in AI. This is your ultimate resource for mastering LLMs in production-ready environments.You Will:Learn to implement cutting-edge NLP tasks such as text generation, sentiment analysis, and named entity recognition using AWS services and open-source tools like Hugging Face.Understand best practices for scaling and maintaining NLP models in production, focusing on real-time performance, monitoring, and iterative improvements.Practice techniques for training and optimizing LLMs, covering data preprocessing, hyperparameter tuning, and evaluation strategies.This book is for: Data scientists, Machine learning engineers, and developers 539 pp. Englisch.
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- Print on Demand
Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 50,42
EUR 43,14 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. Large Language Models (LLMs) have revolutionized Natural Language Processing (NLP), enabling advanced applications such as machine translation, text summarization, and sentiment analysis. This book serves as a comprehensive guide for data scientists, machine learning engineers, and develope…rs, offering foundational theory and practical skills to harness the power of LLMs for real-world problems. From understanding the fundamentals of LLMs to deploying them in cloud and open-source environments, this book equips readers with the essential knowledge to excel in modern NLP.The book takes a hands-on approach, guiding readers through the end-to-end deployment of LLMsfrom data collection and preprocessing to model training, evaluation, and real-time inference. Using popular frameworks like Amazon SageMaker and Hugging Face Transformers, youll explore practical tasks such as text generation, classification, and named entity recognition. Additionally, it delves into industry use cases like customer support chatbots and content generation while addressing emerging trends, scaling techniques, and ethical considerations like bias and fairness in AI. This is your ultimate resource for mastering LLMs in production-ready environments.You Will:Learn to implement cutting-edge NLP tasks such as text generation, sentiment analysis, and named entity recognition using AWS services and open-source tools like Hugging Face.Understand best practices for scaling and maintaining NLP models in production, focusing on real-time performance, monitoring, and iterative improvements.Practice techniques for training and optimizing LLMs, covering data preprocessing, hyperparameter tuning, and evaluation strategies.This book is for: Data scientists, Machine learning engineers, and developers This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Applied Data Science Using PySpark
Kakarla, Ramcharan; Krishnan, Sundar; Dhamodharan, Balaji; Gunnu, Venkata
- Brossura
- Print on Demand
Da: moluna, Greven, Germaniamoluna
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 52,37
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.
