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Condizione: New.

Paperback. Condizione: New.

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Paperback. Condizione: new. Paperback. LEARN Scikit-Learn: Essential Machine Learning for Data ScienceThis book is the key to mastering Scikit-Learn and building market-ready Machine Learning projects. Ideal for professionals and students who seek fast, direct, and applicable results. Learn high-impact techniques, design intelligent solutions, and boost your career in data science.Includes: - Quick setup of a productive environment with Python and Scikit-Learn- Data preprocessing and full pipeline automation- Fine-tuning models with cross-validation and hyperparameters- Practical application of regression, classification, and clustering- Model deployment integrated with Big Data and MLOps environmentsMaster the most widely used algorithms in the market and accelerate your entry into data science projects with Scikit-Learn.scikit-learn, machine learning, data science, smart pipelines, model automation, cross-validation, machine learning deployment, big data integration, mlops, spark Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condizione: New.

Paperback. Condizione: New.

Paperback. Condizione: New.

Paperback. Condizione: New.

Paperback. Condizione: New.

Condizione: New.

Paperback. Condizione: new. Paperback. LEARN AUTOPSY Master Digital Forensics, Evidence Recovery, and System InvestigationThis book is ideal for professionals and students who want to master Autopsy in real-world digital forensic environments. With a direct technical focus, it covers everything from forensic image ingestion to artifact correlation across multiple sources and platforms.You will learn to apply Autopsy in operations with Kali Linux, Windows, Android, corporate networks, and Linux systems, integrating tools such as The Sleuth Kit, Volatility, Guymager, Cellebrite, YARA, SQLite, ExifTool, and modules for timeline, email, web artifacts, hashsets, and logs.Includes: - Installation and configuration with Java, PostgreSQL, and TSK- Processing of E01, AFF, DD, RAW, and VMDK images- Analysis of browser artifacts, EXIF, emails, logs, and metadata- Mobile device investigation using ADB and iOS dumps- Integration with external modules in Python and Groovy- Generation of technical reports with hashes, evidence, and maps- Chain of custody preservation with DC3DD, BitLocker, and forensic exportsMaster Autopsy and conduct digital investigations with technical validation, legal traceability, and full integration of forensic tools.autopsy, sleuth kit, volatility, cellebrite, yara, exiftool, guymager, adb, digital forensics, forensic investigation, kali linux Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condizione: new. Paperback. LEARN APACHE SPARK Build Scalable Pipelines with PySpark and OptimizationThis book is designed for students, developers, data engineers, data scientists, and technology professionals who want to master Apache Spark in practice, in corporate environments, public cloud, and modern integrations.You will learn to build scalable pipelines for large-scale data processing, orchestrating distributed workloads with AWS EMR, Databricks, Azure Synapse, and Google Cloud Dataproc. The content covers integration with Hadoop, Hive, Kafka, SQL, Delta Lake, MongoDB, and Python, as well as advanced techniques in tuning, job optimization, real-time analysis, machine learning with MLlib, and workflow automation.Includes: - Implementation of ETL and ELT pipelines with Spark SQL and DataFrames- Data streaming processing and integration with Kafka and AWS Kinesis- Optimization of distributed jobs, performance tuning, and use of Spark UI- Integration of Spark with S3, Data Lake, NoSQL, and relational databases- Deployment on managed clusters in AWS, Azure, and Google Cloud- Applied Machine Learning with MLlib, Delta Lake, and Databricks- Automation of routines, monitoring, and scalability for Big DataBy the end, you will master Apache Spark as a professional solution for data analysis, process automation, and machine learning in complex, high-performance environments.apache spark, big data, pipelines, distributed processing, aws emr, databricks, streaming, etl, machine learning, cloud integration Google Data Engineer, AWS Data Analytics, Azure Data Engineer, Big Data Engineer, MLOps, DataOps Professional Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condizione: New.

Condizione: As New. Unread book in perfect condition.

Paperback. Condizione: New.

Paperback. Condizione: New.

Paperback. Condizione: New.

Paperback. Condizione: new. Paperback. LEARN GitLab CI/CD Implement DevOps with Automated Deploys and Continuous FeedbackRecommended for students and technology professionals working with DevOps, automation, and continuous integration, this book covers the application of GitLab CI/CD in operational workflows of real projects, from pipeline structuring and runner management to integrations with Docker, Kubernetes, Terraform, Ansible, AWS, Azure, and Google Cloud. It addresses the configuration of sensitive variables, authentication, secrets management, and infrastructure as code in multi-cloud environments. The book explains integrations with cybersecurity tools, SAST, DAST, and SCA scanners, test automation, deployments, rollbacks, notifications, logging, monitoring, integration with SIEM, ITSM, GRC, and compliance routines. It includes implementation examples, versioning practices, safe deployment strategies, technical reporting, and access controls in auditable, multi-environment, and regulated operations.Includes: - Structuring multi-environment and multi-cloud CI/CD pipelines- Integration with security, compliance, and automation tools- Management of protected variables, secrets, and authentication- Configuration of deployment, rollback, monitoring, and reporting- Integration flows with Docker, Kubernetes, AWS, Azure, Google CloudExpand your professional capabilities in DevOps operations, infrastructure, and automation with secure, auditable pipelines ready for current technical and regulatory requirements.devops, gitlab, ci/cd, kubernetes, terraform, docker, security, continuous integration, multi-cloud, compliance Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condizione: New.

Paperback. Condizione: New.

Paperback. Condizione: new. Paperback. APRENDE KERAS: Domina Redes Neuronales y Deep Learning con PythonEste libro esta dirigido a desarrolladores, cientificos de datos y estudiantes que desean dominar la creacion de redes neuronales con Keras en aplicaciones reales.Aprenderas a estructurar modelos avanzados de deep learning con enfoque en produccion, interpretabilidad y rendimiento.Explora tecnicas modernas como redes convolucionales, RNNs, LSTM, GRU, transferencia de aprendizaje, autoencoders, GANs y despliegue en entornos serverless. El enfoque practico garantiza dominio tecnico en la construccion, validacion y optimizacion de modelos con integracion al ecosistema Python.Incluye: - Configuracion de entornos con TensorFlow y GPUs- Construccion de modelos secuenciales, funcionales y personalizados- Aplicaciones con CNNs, RNNs, LSTM y embeddings- Tecnicas de regularizacion, ajuste, callbacks y observabilidad- Despliegue con FastAPI, AWS Lambda y MLOps escalableAl final, dominaras completamente Keras como framework profesional para aplicaciones robustas de inteligencia artificial.keras, deep learning, tensorflow, redes neuronales, cnn, rnn, autoencoders, mlops, fastapi, gpu training Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condizione: new. Paperback. Bienvenido a "INGENIERIA DE DATOS CON PYTHON Y SQL: Construye Pipelines de Datos Escalables - Edicion 2025", una guia completa y esencial para profesionales y estudiantes que desean dominar el arte de la ingenieria de datos en un mundo impulsado por la informacion. Este libro, escrito por Diego Rodrigues, autor best-seller con mas de 180 titulos publicados en seis idiomas, combina teoria y practica de forma envolvente para capacitarte en la construccion de pipelines eficientes y escalables.Python y SQL son herramientas indispensables para ingenieros de datos, ya que permiten manipular, integrar y optimizar flujos de datos con precision. A lo largo de este libro, seras guiado a traves de temas fundamentales y avanzados, explorando desde los conceptos basicos de la ingenieria de datos hasta estrategias sofisticadas para seguridad, gobernanza y automatizacion de pipelines en entornos locales y en la nube.Cada capitulo ha sido cuidadosamente disenado para ofrecer una comprension practica y aplicada. Aprenderas a disenar esquemas de bases de datos, implementar ETLs robustos, automatizar flujos de trabajo con frameworks como Apache Airflow y optimizar consultas SQL para alto rendimiento. Ademas, el libro aborda temas emergentes como DataOps, integracion con APIs y el uso de herramientas de Big Data como Hadoop y Spark.Con ejemplos practicos, scripts detallados y explicaciones claras, "INGENIERIA DE DATOS CON PYTHON Y SQL" es mas que un manual tecnico; es una puerta de entrada hacia una carrera transformadora en el ambito de los datos. Preparate para destacar en un mercado competitivo y potenciar tu camino profesional. Tu transformacion en ingenieria de datos comienza ahora! Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condizione: New.

Paperback. Condizione: New.

Condizione: New. In.

Condizione: New. In.

Condizione: New. In.

Condizione: New. In.

Condizione: New. In.

Condizione: New. In.