There's priceless insight trapped in the flood of data users leave behind as they interact with web pages and applications. Those insights can be unlocked by using intelligent algorithms like the ones that have earned Facebook, Google, Twitter, and Microsoft a place among the giants of web data pattern extraction. Improved search, data classification, and other smart pattern matching techniques can give an enormous advantage to understanding and interacting with users.
Algorithms of the Intelligent Web, Second Edition has been totally revised and teaches the most important approaches to algorithmic web data analysis, enabling readers to create machine learning applications that crunch, munge, and wrangle data collected from users, web applications, sensors, and website logs. Key machine learning concepts are explained and introduced with many code examples in Python's scikit-learn. The book guides readers through the underlying machinery and intelligent algorithms to capture, store, and structure data streams. Readers will explore recommendation engines from the example of Netflix movie recommendations and dive into classification via statistical algorithms, neural networks, and deep learning. They will also consider the ins and outs of ranking and how to test applications based on intelligent algorithms.
KEY SELLING POINTS
Machine learning for newbies
Easily accessed examples
Concepts presented are technology agnostic
AUDIENCE
To get the most from this book, you should have a good foundation in Java programming and a general understanding of internet technology.
ABOUT THE TECHNOLOGY
This book provides an overview, with easy to access examples, of algorithms which learn from data. Such algorithms have been widely adopted by many large internet companies such as Facebook and Google and are continuing to grow in popularity. This book has many examples in Python using the scikit-learn library, however the concepts presented are technology agnostic and can be easily applied with any common programming language.
"Sinopsis" puede pertenecer a otra edición de este libro.
Douglas McIlwraith earned his first degree at Cambridge in computer science before completing a PhD in sensor fusion from Imperial College in London. He is a machine learning expert, currently working as senior data scientist for a London-based advertising company.
Dr. Haralambos Marmanis is a pioneer in the adoption of machine learning techniques for industrial solutions. He has 25 years experience in developing professional software.
Dmitry Babenko has designed and built a wide variety of applications and infrastructure frameworks for banking, insurance, supply-chain management, and business intelligence companies. He received a M.S. degree in computer science from Belarussian State University of Informatics and Radioelectronics.
"Sobre este título" puede pertenecer a otra edición de este libro.
Librería: More Than Words, Waltham, MA, Estados Unidos de America
Condición: Very Good. . . All orders guaranteed and ship within 24 hours. Before placing your order for please contact us for confirmation on the book's binding. Check out our other listings to add to your order for discounted shipping. Nº de ref. del artículo: WAL-T-5d-01299
Cantidad disponible: 1 disponibles
Librería: Greenworld Books, Arlington, TX, Estados Unidos de America
Condición: very_good. Fast Free Shipping â" Very Good condition book with a firm cover and clean pages. Shows normal use and some light wear or limited notes markings. A solid, nice copy to enjoy. Nº de ref. del artículo: GWV.1617292583.VG
Cantidad disponible: 1 disponibles
Librería: Better World Books, Mishawaka, IN, Estados Unidos de America
Condición: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good. Nº de ref. del artículo: 67978896-6
Cantidad disponible: 1 disponibles
Librería: HPB Inc., Dallas, TX, Estados Unidos de America
paperback. Condición: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority! Nº de ref. del artículo: S_481136315
Cantidad disponible: 1 disponibles
Librería: Goodwill of Silicon Valley, SAN JOSE, CA, Estados Unidos de America
Condición: good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Good condition! Any other included accessories are also in Good condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear. Nº de ref. del artículo: GWSVV.1617292583.G
Cantidad disponible: 1 disponibles
Librería: Mahler Books, PFLUGERVILLE, TX, Estados Unidos de America
Paperback. Condición: Very Good. This book is in very good condition; no remainder marks. It does have some cover shelfwear. Inside pages are clean. ; 7.5 X 0.5 X 9.25 inches; 240 pages. Nº de ref. del artículo: 10SA23-583-084
Cantidad disponible: 1 disponibles
Librería: GoldBooks, Denver, CO, Estados Unidos de America
Paperback. Condición: new. New Copy. Customer Service Guaranteed. Nº de ref. del artículo: 53T95_48_1617292583
Cantidad disponible: 1 disponibles
Librería: Majestic Books, Hounslow, Reino Unido
Condición: New. pp. 325. Nº de ref. del artículo: 374291435
Cantidad disponible: 1 disponibles
Librería: YESIBOOKSTORE, MIAMI, FL, Estados Unidos de America
paperback. Condición: As New. Nº de ref. del artículo: 1617292583-VB
Cantidad disponible: 1 disponibles
Librería: Biblios, Frankfurt am main, HESSE, Alemania
Condición: New. pp. 325. Nº de ref. del artículo: 18372802622
Cantidad disponible: 4 disponibles