SKU/Artículo: AMZ-B0C9S3HTWC
Data Scientist: Data Analysis in Action - Take Your Skills to the Next Level with Practical Machine Learning Applications
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.23 kg
0.23 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- "Data Scientist: Data Analysis in Action - Take Your Skills to the Next Level with Practical Machine Learning Applications" is a comprehensive guide designed to empower aspiring data scientists and experienced professionals in the field. This book goes beyond theory and equips readers with practical skills to tackle real- world data analysis challenges using machine learning techniques. Starting with an in-depth introduction and a recap of fundamental data science concepts, the book swiftly moves on to Exploratory Data Analysis (EDA). Readers will learn how to visualize data effectively, employ feature engineering for enhanced insights, and handle missing data in complex datasets. The book then delves into supervised learning techniques, including advanced regression methods and ensemble learning. It also addresses the critical issue of handling imbalanced datasets in classification tasks, providing strategies for achieving accurate predictions. Unsupervised learning and dimensionality reduction are explored in detail, covering advanced clustering algorithms, nonlinear dimensionality reduction techniques, and anomaly detection methods. Readers will gain the skills necessary to uncover hidden patterns and outliers in complex datasets. A dedicated section on Natural Language Processing (NLP) equips readers with the tools to process and analyze textual data. They will learn about text preprocessing, feature extraction, sentiment analysis, text classification, Named Entity Recognition (NER), and text summarization. Time series analysis and forecasting are addressed comprehensively, covering time series decomposition, trend analysis, and the application of ARIMA, SARIMA, and LSTM models. This section provides a solid foundation for understanding and predicting time-dependent data patterns. Recommender systems, a crucial aspect of many online platforms, are extensively covered. Collaborative filtering, content-based filtering, and matrix factorization techniques are explained, along with methods for evaluating and improving recommender systems. The book also explores the exciting field of deep learning for image recognition. Readers will learn about Convolutional Neural Networks (CNNs), transfer learning, fine-tuning, object detection, and image segmentation. Advanced data visualization techniques, including interactive visualizations with D3.js, geospatial data visualization, and network analysis, are presented to help readers effectively communicate insights derived from data. Deployment and productionization of machine learning models are addressed in detail, covering various options such as cloud and on-premise solutions. The use of Docker for containerization, model monitoring, and maintenance is also explained. With its practical approach, "Data Scientist: Data Analysis in Action" bridges the gap between theory and practice, offering a comprehensive resource for anyone seeking to advance their data analysis skills. Whether you're a beginner or an experienced professional, this book will equip you with the knowledge and techniques to excel in the rapidly evolving field of data science.
AR$53.141
44% OFF
AR$29.522
IMPORT EASILY
By purchasing this product you can deduct VAT with your RUT number
AR$53.141
44% OFF
AR$29.522
Pagá fácil y rápido con Mercado Pago o MODO
Llega en 8 a 12 días hábiles
con envío
Tienes garantía de entrega
Este producto viaja
de USA ![]()
a tus manos en
![]()
a tus manos en
Compra protegida
Disfruta de una experiencia de compra segura y confiable
Tarjetas de Crédito y Débito
Visa
Mastercard
American Express
Pagos a través de PayPal
Compra procesada en dólares con dinero en cuenta o tarjetas internacionales.
Paypal
Pagos a través de MODO
Compra procesada en pesos desde la App de tu banco.
PayPal
