- Feature Engineering Made Easy
- Sinan Ozdemir Divya Susarla
- 57字
- 2021-06-25 22:45:47
About the reviewer
Michael Smith uses big data and machine learning to learn about how people behave. His experience includes IBM Watson and consulting for the US government. Michael actively publishes at and attends several prominent conferences as he engineers systems using text data and AI. He enjoys discussing technology and learning new ways to tackle problems.
推薦閱讀
- 數(shù)據(jù)庫應(yīng)用實戰(zhàn)
- 劍破冰山:Oracle開發(fā)藝術(shù)
- Python數(shù)據(jù)分析、挖掘與可視化從入門到精通
- 文本數(shù)據(jù)挖掘:基于R語言
- Access 2016數(shù)據(jù)庫技術(shù)及應(yīng)用
- Python金融數(shù)據(jù)分析(原書第2版)
- 大數(shù)據(jù)架構(gòu)商業(yè)之路:從業(yè)務(wù)需求到技術(shù)方案
- 數(shù)據(jù)庫原理與應(yīng)用
- Python數(shù)據(jù)分析與數(shù)據(jù)化運營
- Unreal Engine Virtual Reality Quick Start Guide
- 大數(shù)據(jù)技術(shù)體系詳解:原理、架構(gòu)與實踐
- 數(shù)字化轉(zhuǎn)型方法論:落地路徑與數(shù)據(jù)中臺
- 掌中寶:電腦綜合應(yīng)用技巧
- 數(shù)據(jù)分析實踐:專業(yè)知識和職場技巧
- 計算機應(yīng)用實務(wù)(第3版)