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保障培訓(xùn)效果，堅持小班授課，每個班級的人數(shù)限3到5人，超過限定人數(shù),安排到下一期進行學(xué)習(xí)。 |
| 授課地點及時間 |
上課地點：【上海】：同濟大學(xué)(滬西)/新城金郡商務(wù)樓(11號線白銀路站) 【深圳分部】：電影大廈(地鐵一號線大劇院站)/深圳大學(xué)成教院 【北京分部】：北京中山學(xué)院/福鑫大樓 【南京分部】：金港大廈(和燕路) 【武漢分部】：佳源大廈（高新二路） 【成都分部】：領(lǐng)館區(qū)1號（中和大道） 【廣州分部】：廣糧大廈 【西安分部】：協(xié)同大廈 【沈陽分部】：沈陽理工大學(xué)/六宅臻品 【鄭州分部】：鄭州大學(xué)/錦華大廈 【石家莊分部】：河北科技大學(xué)/瑞景大廈
開班時間(連續(xù)班/晚班/周末班）：2020年3月16日 |
| 課時 |
◆資深工程師授課
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| 質(zhì)量以及保障 |
☆
1、如有部分內(nèi)容理解不透或消化不好，可免費在以后培訓(xùn)班中重聽；
☆ 2、在課程結(jié)束之后,授課老師會留給學(xué)員手機和E-mail,免費提供半年的課程技術(shù)支持，以便保證培訓(xùn)后的繼續(xù)消化；
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☆課程大綱☆ |
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- Introduction to ChatBots
- Overview of Conversational Software
- Building Your First Basic ChatBot
- Setting Up Your ChatBot to Receive Text and Respond to Users
Adding the Basic Elements of Personality
Teaching Your ChatBot to Answer Basic Questions
Adding Variety to Your ChatBot's Responses
Making Your ChatBot Ask Questions
Building Rule-Based Systems for Parsing Text
Using Machine Learning to Turn Natural Language into Structured Data for Your ChatBot
- Overview of SpaCy, Scikit-learn, and Rasa NLU
Installing and Configuring SpaCy, Scikit-learn, and Rasa NLU
Intents and Entities and their Classifications
Natural Language Processing Fundamentals Theory Refresher
Building Models from Real-World Sentences Using the ATIS Dataset
Building Your Virtual Assistant ChatBot
- Overview of a Virtual Assistant
Working with SQL in Python
Teaching Your ChatBot to Access Data from a Database
Writing Queries from Parameters
Building a Database from Natural Language
Implementing Custom Virtual Assistant Features on Your ChatBot
Answering Specific Queries through Database Access
Refining Search, Performing Basic Negation, and Filtering Data
Making Your ChatBot Stateful: Keeping Track of States of Interaction for Better ChatBot Dialogs
- Performing Basic Actions
Asking Contextual Questions and Queuing Answers
Dealing with Rejection
Testing and Deploying Your ChatBot
- Troubleshooting
- Summary and Conclusion
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