Librería:
Goodwill of Silicon Valley, SAN JOSE, CA, Estados Unidos de America
Calificación del vendedor: 4 de 5 estrellas
Vendedor de AbeBooks desde 28 de junio de 2024
Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Acceptable condition! Any other included accessories are also in Acceptable condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear such as cover tears discoloration, staining, marks, scuffs, etc. All pages intact. N° de ref. del artículo GWSVV.1785889621.A
Build strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guide
Key Features:
• Get started in the field of Machine Learning with the help of this solid, concept-rich, yet highly practical guide.
• Your one-stop solution for everything that matters in mastering the whats and whys of Machine Learning algorithms and their implementation.
• Get a solid foundation for your entry into Machine Learning by strengthening your roots (algorithms) with this comprehensive guide.
Book Description:
In this book, you will learn all the important machine learning algorithms that are commonly used in the field of data science. These algorithms can be used for supervised as well as unsupervised learning, reinforcement learning, and semi-supervised learning. The algorithms that are covered in this book are linear regression, logistic regression, SVM, naïve Bayes, k-means, random forest, TensorFlow and feature engineering.
In this book, you will how to use these algorithms to resolve your problems, and how they work. This book will also introduce you to natural language processing and recommendation systems, which help you to run multiple algorithms simultaneously.
On completion of the book, you will know how to pick the right machine learning algorithm for clustering, classification, or regression for your problem
What You Will Learn:
• Acquaint yourself with the important elements of machine learning
• Understand the feature selection and feature engineering processes
• Assess performance and error trade-offs for linear regression
• Build a data model and understand how it
• Learn to tune the parameters of SVMs
• Implement clusters in a dataset
• Explore the concept of Natural Processing Language and Recommendation Systems
• Create a machine learning architecture from scratch
Who this book is for:
This book is for IT professionals who want to enter the field of data science and are very new to Machine Learning. Familiarity with languages such as R and Python will be invaluable here.
Acerca del autor: Giuseppe Bonaccorso is Head of Data Science in a large multinational company. He received his M.Sc.Eng. in Electronics in 2005 from University of Catania, Italy, and continued his studies at University of Rome Tor Vergata, and University of Essex, UK. His main interests include machine/deep learning, reinforcement learning, big data, and bio-inspired adaptive systems. He is author of several publications including Machine Learning Algorithms and Hands-On Unsupervised Learning with Python, published by Packt.
Título: Machine Learning Algorithms: A reference ...
Editorial: Packt Publishing
Año de publicación: 2017
Encuadernación: Encuadernación de tapa blanda
Condición: acceptable
Librería: ThriftBooks-Atlanta, AUSTELL, GA, Estados Unidos de America
Paperback. Condición: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less. Nº de ref. del artículo: G1785889621I4N00
Cantidad disponible: 1 disponibles
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
Condición: New. Nº de ref. del artículo: ABLIING23Mar2912160171033
Cantidad disponible: Más de 20 disponibles
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. del artículo: L0-9781785889622
Cantidad disponible: Más de 20 disponibles
Librería: California Books, Miami, FL, Estados Unidos de America
Condición: New. Nº de ref. del artículo: I-9781785889622
Cantidad disponible: Más de 20 disponibles
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. del artículo: L0-9781785889622
Cantidad disponible: Más de 20 disponibles
Librería: Books Puddle, New York, NY, Estados Unidos de America
Condición: New. pp. 360. Nº de ref. del artículo: 26378405374
Cantidad disponible: 4 disponibles
Librería: Majestic Books, Hounslow, Reino Unido
Condición: New. Print on Demand pp. 360. Nº de ref. del artículo: 385465889
Cantidad disponible: 4 disponibles
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
Paperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days. Nº de ref. del artículo: C9781785889622
Cantidad disponible: Más de 20 disponibles
Librería: moluna, Greven, Alemania
Condición: New. Helps you build a strong foundation for entering the world of machine learning and data science. This book shows you how to acquaint yourself with important elements of Machine Learning understand the feature selection and feature engineering process and . Nº de ref. del artículo: 448321819
Cantidad disponible: Más de 20 disponibles
Librería: Biblios, Frankfurt am main, HESSE, Alemania
Condición: New. PRINT ON DEMAND pp. 360. Nº de ref. del artículo: 18378405364
Cantidad disponible: 4 disponibles