Data Science from Scratch to Production (Paperback)
Idioma: inglés
Editorial: Independently Published, 2026
Serie: Libro 1 de 3 - The Complete Data Science & AI Engineering Series
- Tapa blanda
- Nuevo
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
Vendedor de IberLibro desde 12 de octubre de 2005
Condición: Nuevo
EUR 47,73
Cantidad disponible: 1 disponible
Añadir al carritoDescripción del artículo del vendedor
Paperback. Become a Job-Ready Data Scientist with Real-World, Production-Level SkillsMost data science books focus on theory. They explain algorithms, define concepts, and stop before showing how real systems are built and deployed.This book takes a different approach.It is designed to guide you step by step from the fundamentals of data science to building and deploying production-ready machine learning systems used in real-world applications.What You Will LearnThis book provides a complete roadmap covering every stage of the data science lifecycle: Python programming for data scienceData analysis using NumPy and PandasData cleaning and preprocessing techniquesExploratory Data Analysis and visualizationMachine learning fundamentals and algorithmsRegression and classification modelsDecision trees, random forest, and clusteringModel evaluation and performance optimizationFeature engineering and data transformationDeep learning and neural networksEnd-to-end machine learning project implementationModel deployment using APIs and DockerMLOps concepts, pipelines, monitoring, and retrainingPractical, Real-World ApproachThis is not just a theoretical guide. You will learn how to: Work with real datasetsBuild complete machine learning pipelinesEvaluate and improve model performanceDeploy models into production environmentsUnderstand how scalable AI systems are designedEvery section is structured to help you move from understanding concepts to applying them in real scenarios.Who This Book Is ForBeginners starting their data science journeySoftware developers transitioning into machine learning and AIProfessionals looking to build production-level skillsAnyone who wants to understand how real-world data science systems workNo prior experience in machine learning is required. The book starts from the basics and gradually moves to advanced topics.Why This Book Is DifferentUnlike most books that stop at model building, this guide covers the full lifecycle of data science: From raw data to trained modelsFrom models to deployed APIsFrom deployment to monitoring and MLOpsThis makes it a complete and practical resource for modern data science and AI engineering.What You Will AchieveBy the end of this book, you will be able to: Build machine learning models from scratchWork with real-world datasets and solve practical problemsDeploy models using APIs and containerization toolsUnderstand and implement production-level ML systemsCreate projects that strengthen your portfolio and career opportunitiesPart of a Complete Learning SeriesThis book is part of the Complete Data Science and AI Engineering Series, designed to take you from beginner to advanced levels through structured, practical learning. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…
N° de ref. del artículo 9798254141723
- Título
- Data Science from Scratch to Production (Paperback)
- Autor
- Abhishek Kumar
- Editorial
- Independently Published
- Año de publicación
- 2026
- Estado
- new
- Encuadernación
- Paperback
- Idioma
- inglés
- ISBN 13
- 9798254141723
- Serie
- Libro 1 de 3: The Complete Data Science & AI Engineering Series
Most data science books focus on theory. They explain algorithms, define concepts, and stop before showing how real systems are built and deployed.
This book takes a different approach.
It is designed to guide you step by step from the fundamentals of data science to building and deploying production-ready machine learning systems used in real-world applications.
What You Will Learn
This book provides a complete roadmap covering every stage of the data science lifecycle:
- Python programming for data science
- Data analysis using NumPy and Pandas
- Data cleaning and preprocessing techniques
- Exploratory Data Analysis and visualization
- Machine learning fundamentals and algorithms
- Regression and classification models
- Decision trees, random forest, and clustering
- Model evaluation and performance optimization
- Feature engineering and data transformation
- Deep learning and neural networks
- End-to-end machine learning project implementation
- Model deployment using APIs and Docker
- MLOps concepts, pipelines, monitoring, and retraining
Practical, Real-World Approach
This is not just a theoretical guide. You will learn how to:
- Work with real datasets
- Build complete machine learning pipelines
- Evaluate and improve model performance
- Deploy models into production environments
- Understand how scalable AI systems are designed
Every section is structured to help you move from understanding concepts to applying them in real scenarios.
Who This Book Is For
- Beginners starting their data science journey
- Software developers transitioning into machine learning and AI
- Professionals looking to build production-level skills
- Anyone who wants to understand how real-world data science systems work
No prior experience in machine learning is required. The book starts from the basics and gradually moves to advanced topics.
Why This Book Is Different
Unlike most books that stop at model building, this guide covers the full lifecycle of data science:
- From raw data to trained models
- From models to deployed APIs
- From deployment to monitoring and MLOps
This makes it a complete and practical resource for modern data science and AI engineering.
What You Will Achieve
By the end of this book, you will be able to:
- Build machine learning models from scratch
- Work with real-world datasets and solve practical problems
- Deploy models using APIs and containerization tools
- Understand and implement production-level ML systems
- Create projects that strengthen your portfolio and career opportunities
Part of a Complete Learning Series
This book is part of the Complete Data Science and AI Engineering Series, designed to take you from beginner to advanced levels through structured, practical learning.
“Sinopsis” puede pertenecer a otra edición de este título.
Grand Eagle Retail
Bensenville, IL, Estados Unidos de America
Vendedor de IberLibro desde 12 de octubre de 2005
Tarifas de envío en Estados Unidos de America
| Artículo | De 6 a 14 días hábiles | De 6 a 16 días hábiles |
|---|---|---|
| Primer artículo | EUR 0,00 | EUR 0,00 |
Métodos de pago
Información empresarial del vendedor
APOLLO ONLINE CORP.
605 Geddes Street
Wilmington, DE Estados Unidos de America 19805
Condiciones de venta
We guarantee the condition of every book as it¿s described on the Abebooks web sites. If you¿ve changed
your mind about a book that you¿ve ordered, please use the Ask bookseller a question link to contact us
and we¿ll respond within 2 business days.
Books ship from California and Michigan.
Derecho al desistimiento
Si es un consumidor, puede rescindir el contrato de acuerdo con lo siguiente. Por consumidor se entiende cualquier persona física que actúe con fines ajenos a su actividad comercial, empresarial, oficio o profesión.
Información sobre el derecho de desistimiento
Derecho legal de desistimiento
Tiene derecho a rescindir este contrato en un plazo de 14 días sin dar ningún motivo.
El periodo de desistimiento vencerá a los 14 días desde que usted, o un tercero que no sea el transportista e indicado por usted, adquiera la posesión física del último bien o del último lote o pieza.
Para ejercer el derecho de desistimiento, complete de forma electrónica y envíe una declaración clara en nuestro sitio web, desde "Mis compras" en "Mi cuenta". Le enviaremos sin demora un acuse de recibo de dicho desistimiento a través de un soporte duradero (por ejemplo, por correo electrónico).
Para cumplir con el plazo de desistimiento, basta con que envíe su comunicación relativa al ejercicio del derecho de desistimiento antes de que venza el periodo de desistimiento.
Efectos del desistimiento
Si rescinde este contrato, le reembolsaremos todos los pagos que hayamos recibido de usted, incluidos los gastos de envío (excepto los gastos adicionales que surjan si elige un tipo de envío que no sea el tipo de envío estándar más económico que ofrecemos).
Podemos hacer una deducción del reembolso por la pérdida de valor de cualquier bien suministrado, si la pérdida es el resultado de una manipulación innecesaria por su parte.
Efectuaremos el reembolso sin demoras indebidas y, a más tardar, 14 días después de que se nos informe de su decisión de rescindir este contrato.
Efectuaremos el reembolso utilizando el mismo medio de pago que utilizó para la transacción inicial, a menos que haya acordado expresamente lo contrario; en cualquier caso, no incurrirá en ningún cargo como resultado de dicho reembolso.
Podremos retener el reembolso hasta que hayamos recibido los bienes o hasta que nos haya presentado una prueba de que los ha devuelto, lo que ocurra primero.
Deberá devolver los bienes o entregarlos a Grand Eagle Retail, Bensenville, Illinois, U.S.A., sin demoras indebidas y, en cualquier caso, en un plazo máximo de 14 días a partir del día en que nos comunique su desistimiento del presente contrato. El plazo se cumple si devuelve la mercancía antes de que venza el periodo de 14 días. Tendrá que asumir los gastos directos de devolución de los bienes. Usted solo es responsable de la disminución del valor de los bienes como resultado de una manipulación distinta a la necesaria para establecer la naturaleza, las características y el funcionamiento de los bienes.
Excepciones al derecho de desistimiento
El derecho de desistimiento no se aplica a lo siguiente:
- La entrega de periódicos, diarios o revistas, con la excepción de los contratos de suscripción; y
- El suministro de contenido digital que no se proporcione en un soporte tangible (por ejemplo, en un CD o DVD) si, al hacer el pedido, aceptó que podíamos empezar a entregarlo y que no podría desistir una vez iniciada la entrega.
Condiciones de envío
Orders usually ship within 2 business days. All books within the US ship free of charge. Delivery is 4-14 business days anywhere in the United States.
Books ship from California and Michigan.
If your book order is heavy or oversized, we may contact you to let you know extra shipping is required.