Text Mining and Visualization: Case Studies Using Open-Source Tools -
-30% ar kodu BOOKS
Piegāde 10-16 darba dienu laikā
30 dienu atgriešanas politika
This book provides an introduction to text mining using some of the most popular and powerful open-source tools: KNIME, RapidMiner, Weka, R, and Python. The contributors explain how text data are gathered and processed from a wide variety of sources, including books, server access logs, websites, social media sites, and message boards. Each chapter presents a case study that readers can follow as part of a ... Pilns apraksts
Jums varētu patikt arī
TOP
If Anyone Builds It, Everyone Dies: The Case Against Superintelligent AI
Eliezer Yudkowsky, Nate Soares
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Open Circuits: The Inner Beauty of Electronic Components
Eric Schlaepfer, Windell Oskay
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Get started with MicroPython on Raspberry Pi Pico: The Official Raspberry Pi Pico Guide
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Nucleo Boards Programming with the STM32CubeIDE: Hands-on in more than 50 projects
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Practical Electronics for Inventors
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control
Steven L. Brunton, J. Nathan Kutz
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Fundamentals of Aerodynamics ISE
Christopher Cadou, John D. Anderson
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Black Holes: The Key to Understanding the Universe
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
KiCad Like A Pro - Fundamentals and Projects: Getting started with the world's best open-source PCB tool
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Foundations of Flavor: The Noma Guide to Fermentation: Including Step-By-Step Information on Making and Cooking with: Koji, Kombuchas, Shoyus, Misos, Vinegars, Garums, Lacto-Ferments and black Fruits Vegetables
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Make: Electronics: Learning by Discovery: A hands-on primer for the new electronics enthusiast
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
The Idea Factory: Bell Labs and the Great Age of American Innovation
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Flowers For Algernon: A Modern Literary Classic
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Professional SMD Assembly: Practical Low-Cost Methods for Reliable PCB Production
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Blood in the Machine: The Origins of the Rebellion Against Big Tech
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Mastering the Arduino Uno R4: Programming and Projects for the Minima and WiFi
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Learning the Art of Electronics: A Hands-On Lab Course
Thomas C. Hayes, Paul Horowitz, David Abrams
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
AI 2041: Ten Visions for Our Future
-30% ar kodu BOOKS
Piegādātāja noliktavā
Aprašymas
This book provides an introduction to text mining using some of the most popular and powerful open-source tools: KNIME, RapidMiner, Weka, R, and Python. The contributors explain how text data are gathered and processed from a wide variety of sources, including books, server access logs, websites, social media sites, and message boards. Each chapter presents a case study that readers can follow as part of a step-by-step, reproducible example. The examples used are available on a supplementary website.
Vairāk informācijas
| Izdevējs | CRC Press |
|---|---|
| Izlaides gads | 2015 |
| Vāka tips | Cietais vāks |
| EAN | 9781482237573 |