Practical machine learning python par daven solomon (5 résultats)

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  • Langue : anglais

    Edité par Independently published, 2026

    9798185398104

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    PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

  • Langue : anglais

    Edité par Independently published, 2026

    9798185398104

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    Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-UniPBShop.store UK

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    EUR 27,20

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    PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

  • Langue : anglais

    Edité par Independently published, 2026

    9798185398104

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    Vendeur : California Books, Miami, FL, Etats-UnisCalifornia Books

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  • Langue : anglais

    Edité par Independently Published, 2026

    9798185398104

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    Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-UnisGrand Eagle Retail

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    EUR 28,98

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    Quantité disponible : 1 disponible(s)

    Paperback. Etat : new. Paperback. Artificial Intelligence is no longer a futuristic concept reserved for research labs and tech giants-it is rapidly transforming the way we build software, automate tasks, analyze data, and solve real-world problems. The question is no longer whether AI matters, but whether you have the skills to build with it.Practical AI and Machine Learning with Python is your hands-on roadmap to entering the world of modern AI-without getting lost in overwhelming theory or complex mathematics.Whether you are a beginner programmer, aspiring machine learning engineer, software developer, data analyst, student, or tech enthusiast, this book is designed to help you move beyond tutorials and start building real AI systems that actually work.Inside this book, you will learn how to design, build, train, and deploy practical AI-powered solutions using Python and industry-standard tools such as Scikit-Learn, TensorFlow, and OpenAI APIs.This is not a theory-heavy textbook.This is a practical guide built around real projects, code walkthroughs, and step-by-step implementation.You will learn how to: Build machine learning models for prediction and classificationClean, preprocess, and analyze real-world datasetsTrain regression and clustering models using Scikit-LearnCreate deep learning models with TensorFlow and neural networksDevelop computer vision systems for image classificationBuild NLP applications for text analysis and language processingCreate AI-powered chatbots using modern language modelsIntegrate OpenAI APIs into Python applicationsAutomate workflows with intelligent AI systemsDeploy production-ready AI applications with confidenceUnlike many beginner AI books that stop at simple examples, this guide focuses on practical implementation and real-world problem solving. You will not just learn what machine learning is-you will learn how to apply it to build useful software.Every chapter is carefully structured to build your skills progressively, taking you from foundational Python concepts to advanced AI applications. Complex ideas are broken down into clear explanations, supported by code illustrations and project-based learning.This book is perfect for: Python developers looking to transition into AIBeginners who want a practical entry into machine learningStudents studying AI, computer science, or data scienceSoftware engineers exploring intelligent automationProfessionals who want to leverage AI in real business workflowsSelf-taught learners building career-ready AI skillsBy the end of this book, you will have far more than theoretical knowledge-you will possess the practical ability to build intelligent systems that can predict, classify, automate, and assist.AI is reshaping every industry.The best way to prepare for that future is to build it yourself.If you are ready to stop consuming AI hype and start creating real AI-powered solutions, this book will help you take that leap. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

  • Langue : anglais

    Edité par Independently Published, 2026

    9798185398104

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    Vendeur : CitiRetail, Stevenage, Royaume-UniCitiRetail

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    Etat: Neuf

    EUR 31,20

    EUR 43,13 expédition 
    Expédition depuis Royaume-Uni vers Etats-Unis

    Quantité disponible : 1 disponible(s)

    Paperback. Etat : new. Paperback. Artificial Intelligence is no longer a futuristic concept reserved for research labs and tech giants-it is rapidly transforming the way we build software, automate tasks, analyze data, and solve real-world problems. The question is no longer whether AI matters, but whether you have the skills to build with it.Practical AI and Machine Learning with Python is your hands-on roadmap to entering the world of modern AI-without getting lost in overwhelming theory or complex mathematics.Whether you are a beginner programmer, aspiring machine learning engineer, software developer, data analyst, student, or tech enthusiast, this book is designed to help you move beyond tutorials and start building real AI systems that actually work.Inside this book, you will learn how to design, build, train, and deploy practical AI-powered solutions using Python and industry-standard tools such as Scikit-Learn, TensorFlow, and OpenAI APIs.This is not a theory-heavy textbook.This is a practical guide built around real projects, code walkthroughs, and step-by-step implementation.You will learn how to: Build machine learning models for prediction and classificationClean, preprocess, and analyze real-world datasetsTrain regression and clustering models using Scikit-LearnCreate deep learning models with TensorFlow and neural networksDevelop computer vision systems for image classificationBuild NLP applications for text analysis and language processingCreate AI-powered chatbots using modern language modelsIntegrate OpenAI APIs into Python applicationsAutomate workflows with intelligent AI systemsDeploy production-ready AI applications with confidenceUnlike many beginner AI books that stop at simple examples, this guide focuses on practical implementation and real-world problem solving. You will not just learn what machine learning is-you will learn how to apply it to build useful software.Every chapter is carefully structured to build your skills progressively, taking you from foundational Python concepts to advanced AI applications. Complex ideas are broken down into clear explanations, supported by code illustrations and project-based learning.This book is perfect for: Python developers looking to transition into AIBeginners who want a practical entry into machine learningStudents studying AI, computer science, or data scienceSoftware engineers exploring intelligent automationProfessionals who want to leverage AI in real business workflowsSelf-taught learners building career-ready AI skillsBy the end of this book, you will have far more than theoretical knowledge-you will possess the practical ability to build intelligent systems that can predict, classify, automate, and assist.AI is reshaping every industry.The best way to prepare for that future is to build it yourself.If you are ready to stop consuming AI hype and start creating real AI-powered solutions, this book will help you take that leap. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.