SKU/Artículo: AMZ-B0GCYW857M
Kickstart Unsupervised Machine Learning: Master Unsupervised Machine Learning Through Pattern Discovery, Clustering, and Dimensionality Reduction to Build ... Real-World Applications (English Edition)
Format:
Kindle
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.76 kg
0.76 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- "Unlock the power of unsupervised learning to uncover hidden insights and transform raw data into actionable knowledge. Key Features ● Master unsupervised learning techniques for Machine Learning with real-world applications. ● Learn clustering, dimensionality reduction, and anomaly detection with real-world applications. ● Build practical expertise through step-by-step coding and practical examples as well as datasets. Book Description Unsupervised machine learning is revolutionizing how organizations extract value from raw data, revealing patterns and structures without predefined labels. From customer segmentation and fraud detection to generative modeling, its versatility drives innovation across industries. Kickstart Unsupervised Machine Learning is your comprehensive companion to mastering this transformative field. Starting with the core principles, the book introduces essential clustering algorithms—including K-Means, DBSCAN, and hierarchical approaches—before advancing to dimensionality reduction techniques such as PCA, t-SNE, and UMAP for simplifying complex data. It then explores sophisticated models like Gaussian Mixture Models and Generative Adversarial Networks (GANs), combining theory with practical coding exercises and hands-on projects using real-world datasets to solidify your understanding. Thus, by the end of this book, you will confidently evaluate, deploy, and optimize unsupervised models to derive meaningful insights from unstructured data. What you will learn ● Understand the principles and algorithms of unsupervised learning from ground-up. ● Apply clustering and dimensionality reduction techniques on complex datasets. ● Evaluate and visualize models using key performance metrics such as validation and interpretability. ● Implement unsupervised workflows using Python and open datasets. ● Solve real-world challenges in NLP, image, and anomaly detection. ● Extend learning methods to research and production-level projects. Who is this book for? This book is tailored for data scientists, machine learning engineers, AI researchers, business analysts, software developers, and quantitative modelers who want to gain hands-on mastery in unsupervised techniques. It is equally valuable for undergraduate and postgraduate students, educators, and research scholars exploring clustering, dimensionality reduction, and anomaly detection. Professionals such as data engineers, research associates, statisticians and AI consultants will also benefit from the applied coding examples and deployment strategies. Table of Contents 1. Understanding Unsupervised Learning 2. Python Basics for Machine Learning 3. Clustering Techniques 4. Dimensionality Reduction 5. Anomaly and Outlier Detection 6. Deep Unsupervised Learning 7. Applications of Unsupervised Learning 8. Unsupervised Learning for Natural Language Processing 9. Evaluating Unsupervised Learning Models 10. Deploying Unsupervised Learning Models into Production 11. Case Studies and Best Practices in Unsupervised Learning Index About the Author Dr. Nimrita Koul is an Associate Professor of Computer Science and Engineering in Bengaluru, India’s IT hub. She holds a PhD in Machine Learning, and graduated with gold medals in both her Bachelor of Engineering and Master of Technology degrees. She is the principal investigator of three research projects in Machine Learning and Natural Language Processing funded by the Department of Science and Technology, Government of India. Dr. Koul has authored 35 research articles, four books, and holds a patent. She also consults deep-tech startups worldwide on AI solutions, and regularly contributes to open-source software forums and blogs."
AR$72.335
55% OFF
AR$32.878
IMPORT EASILY
By purchasing this product you can deduct VAT with your RUT number
AR$72.335
55% OFF
AR$32.878
Pagá fácil y rápido con Mercado Pago o MODO
Llega en 12 a 18 días hábiles
con envío
Tienes garantía de entrega
Este producto viaja
de USA ![]()
a tus manos en
![]()
a tus manos en
Conoce más detalles
Highlight, take notes, and search in the book
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
