- Main
- Computers - Computer Science
- Graph-Powered Machine Learning
Graph-Powered Machine Learning
Alessandro Negro你有多喜歡這本書?
文件的質量如何?
下載本書進行質量評估
下載文件的質量如何?
At its core, machine learning is about efficiently identifying patterns and relationships in data. Many tasks, such as finding associations among terms so you can make accurate search recommendations or locating individuals within a social network who have similar interests, are naturally expressed as graphs.
Graph-Powered Machine Learning introduces you to graph technology concepts, highlighting the role of graphs in machine learning and big data platforms. You’ll get an in-depth look at techniques including data source modeling, algorithm design, link analysis, classification, and clustering. As you master the core concepts, you’ll explore three end-to-end projects that illustrate architectures, best design practices, optimization approaches, and common pitfalls.
Graph-Powered Machine Learning introduces you to graph technology concepts, highlighting the role of graphs in machine learning and big data platforms. You’ll get an in-depth look at techniques including data source modeling, algorithm design, link analysis, classification, and clustering. As you master the core concepts, you’ll explore three end-to-end projects that illustrate architectures, best design practices, optimization approaches, and common pitfalls.
年:
2021
版本:
1
出版商:
Manning Publications
語言:
english
頁數:
503
ISBN 10:
1617295647
ISBN 13:
9781617295645
文件:
PDF, 26.28 MB
你的標籤:
IPFS:
CID , CID Blake2b
english, 2021
該文件將發送到您的電子郵件地址。 您最多可能需要 1-5 分鐘收到它。
該文件將通過電報信使發送給您。 您最多可能需要 1-5 分鐘收到它。
注意:確保您已將您的帳戶鏈接到 Z-Library Telegram 機器人。
該文件將發送到您的 Kindle 帳戶。 您最多可能需要 1-5 分鐘就能收到它。
請注意:您需要驗證要發送到 Kindle 的每本書。 檢查您的郵箱是否有來自 Amazon Kindle 的驗證郵件。
轉換進行中
轉換為 失敗