第 1/1 張圖片
Abhishek Singh Karthik Ramasubramania
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- Book Title
- Machine Learning Using R
- Title
- Machine Learning Using R
- Subtitle
- With Time Series and Industry-Based Use Cases in R
- EAN
- 9781484242148
- ISBN
- 9781484242148
- Edition
- 2nd ed.
- Genre
- Computing & Internet
- Release Year
- 2018
- Release Date
- 12/13/2018
- Country/Region of Manufacture
- US
- Item Height
- 254mm
- Subject Area
- Computers
- Publication Name
- Machine Learning Using R : with Time Series and Industry-Based Use Cases in R
- Item Length
- 10 in
- Publisher
- Apress L. P.
- Subject
- Programming Languages / General, Programming / Open Source, Intelligence (Ai) & Semantics, Compilers
- Publication Year
- 2018
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Item Width
- 7 in
- Item Weight
- 47.8 Oz
- Number of Pages
- Xxiv, 700 Pages
關於產品
Product Information
Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. You will see how to use R programming with TensorFlow, thus avoiding the effort of learning Python if you are only comfortable with R. As in the first edition, the authors have kept the fine balance of theory and application of machine learning through various real-world use-cases which gives you a comprehensive collection of topics in machine learning. New chapters in this edition cover time series models and deep learning. What You'll Learn Understand machine learning algorithms using R Master the process of building machine-learning models Cover the theoretical foundations of machine-learning algorithms See industry focused real-world use cases Tackle time series modeling in R Apply deep learning using Keras and TensorFlow in R Who This Book is For Data scientists, data science professionals, and researchers in academia who want to understand the nuances of machine-learning approaches/algorithms in practice using R.
Product Identifiers
Publisher
Apress L. P.
ISBN-10
1484242149
ISBN-13
9781484242148
eBay Product ID (ePID)
16038385011
Product Key Features
Publication Name
Machine Learning Using R : with Time Series and Industry-Based Use Cases in R
Format
Trade Paperback
Language
English
Subject
Programming Languages / General, Programming / Open Source, Intelligence (Ai) & Semantics, Compilers
Publication Year
2018
Type
Textbook
Subject Area
Computers
Number of Pages
Xxiv, 700 Pages
Dimensions
Item Length
10 in
Item Width
7 in
Item Weight
47.8 Oz
Additional Product Features
Edition Number
2
Number of Volumes
1 Vol.
Lc Classification Number
Q334-342
Reviews
"The wide variety of concepts and the unique blend of theory and exercises recommend this book as a reliable starting point for researchers looking for a deeper understanding of machine learning approaches ... . The book is suitable for a wide variety of backgrounds and skill sets, it is addressed to researchers from undergraduates to postgraduates and established researchers and from a wide range of interdisciplinary backgrounds such as computer science, mathematics, physics and biology." (Irina Ioana Mohorianu, zbMATH 1423.68007, 2019)
Table of Content
Chapter 1: Introduction to Machine Learning.- Chapter 2: Data Exploration and Preparation.- Chapter 3: Sampling and Resampling Techniques.- Chapter 4: Visualization of Data.- Chapter 5: Feature Engineering.- Chapter 6: Machine Learning Models: Theory and Practice.- Chapter 7: Machine Learning Model Evaluation.- Chapter 8: Model Performance Improvement.- Chapter 9: Time Series Modelling.- Chapter 10: Scalable Machine Learning and related technology.- Chapter 11: Introduction to Deep Learning Models using Keras and TensorFlow.
Copyright Date
2019
Illustrated
Yes
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The Item came very late. it looks good, but the communication was okay
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Great book