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授课地点及时间 |
上课地点:【上海】:同济大学(沪西)/新城金郡商务楼(11号线白银路站) 【深圳分部】:电影大厦(地铁一号线大剧院站)/深圳大学成教院 【北京分部】:北京中山学院/福鑫大楼 【南京分部】:金港大厦(和燕路) 【武汉分部】:佳源大厦(高新二路) 【成都分部】:领馆区1号(中和大道) 【广州分部】:广粮大厦 【西安分部】:协同大厦 【沈阳分部】:沈阳理工大学/六宅臻品 【郑州分部】:郑州大学/锦华大厦 【石家庄分部】:河北科技大学/瑞景大厦
开班时间(连续班/晚班/周末班):请点击此处咨询在线客服 |
课时 |
◆资深工程师授课
☆注重质量
☆边讲边练
☆若学员成绩达到合格及以上水平,将获得免费推荐工作的机会
★查看实验设备详情,请点击此处★ |
质量以及保障 |
☆
1、如有部分内容理解不透或消化不好,可免费在以后培训班中重听;
☆ 2、在课程结束之后,授课老师会留给学员手机和E-mail,免费提供半年的课程技术支持,以便保证培训后的继续消化;
☆3、合格的学员可享受免费推荐就业机会。
☆4、合格学员免费颁发相关工程师等资格证书,提升您的职业资质。 |
☆课程大纲☆ |
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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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