Advanced Data Analytics Using Python: With Machine Learning, Deep Learning and NLP Examples
Sayan Mukhopadhyay
- 出版商: Apress
- 出版日期: 2018-03-29
- 定價: $1,700
- 售價: 9.0 折 $1,530
- 語言: 英文
- 頁數: 204
- 裝訂: Paperback
- ISBN: 1484234499
- ISBN-13: 9781484234495
-
相關分類:
Python、Machine Learning 機器學習 、DeepLearning 深度學習、Text-mining 文字探勘、資料科學
立即出貨 (庫存 < 4)
買這商品的人也買了...
-
$320$253 -
$280$252 -
$359$341 -
$420$357 -
$474$450 -
$699$594 -
$474$450 -
$1,950$1,853 -
$1,080Hands-On Machine Learning with Scikit-Learn and TensorFlow (Paperback)
-
$250樹莓派滲透測試實戰 (Penetration Testing with Raspberry Pi)
-
$796深度學習 (Deep Learning)
-
$480$432 -
$1,530Deep Learning with Applications Using Python: Chatbots and Face, Object, and Speech Recognition With TensorFlow and Keras
-
$550$468 -
$450$356 -
$2,380$2,261 -
$480$379 -
$680$578 -
$300$270 -
$594$564 -
$280$252 -
$680$578 -
$305機器學習案例實戰, 2/e
-
$540$427 -
$599$473
商品描述
Gain a broad foundation of advanced data analytics concepts and discover the recent revolution in databases such as Neo4j, Elasticsearch, and MongoDB. This book discusses how to implement ETL techniques including topical crawling, which is applied in domains such as high-frequency algorithmic trading and goal-oriented dialog systems. You’ll also see examples of machine learning concepts such as semi-supervised learning, deep learning, and NLP. Advanced Data Analytics Using Python also covers important traditional data analysis techniques such as time series and principal component analysis.
After reading this book you will have experience of every technical aspect of an analytics project. You’ll get to know the concepts using Python code, giving you samples to use in your own projects.
What You Will Learn
- Work with data analysis techniques such as classification, clustering, regression, and forecasting
- Handle structured and unstructured data, ETL techniques, and different kinds of databases such as Neo4j, Elasticsearch, MongoDB, and MySQL
- Examine the different big data frameworks, including Hadoop and Spark
- Discover advanced machine learning concepts such as semi-supervised learning, deep learning, and NLP
Who This Book Is For
Data scientists and software developers interested in the field of data analytics.