Artificial Intelligence : the most applied stuff : Data Analysis, Distributed AI and NLP

Instructor

Course Features

Lectures 14
Quizzes 0
Duration 21 hours
Skill level All levels
Language English
Students 6
Certificate No
Assessments Yes

1. Distribution Big data 2
- Lecture1.1
  
  • Data mining methods (training single systems + distributed prediction: traditional machine learning algorithms + Mapreduce distributed prediction)
- Lecture1.2
  
  • Apache Spark MLlib
2. Recommendations and Advertising: 6
- Lecture2.1
  
  • Natural language
- Lecture2.2
  
  • Text clustering, text categorization (labeling), synonyms
- Lecture2.3
  
  • User profile restore, labeling system
- Lecture2.4
  
  • Recommended algorithms
- Lecture2.5
  
  • Insuring the accuracy of “lift” between and within categories
- Lecture2.6
  
  • How to create closed loops for recommendation algorithms
3. Logical regression, RankingSVM 0

No items in this section
4. Feature recognition (deep learning and automatic feature recognition for graphics) 0

No items in this section
5. Natural language 6
- Lecture5.1
  
  • Chinese word segmentation
- Lecture5.2
  
  • Theme model (text clustering)
- Lecture5.3
  
  • Text classification
- Lecture5.4
  
  • Extract keywords
- Lecture5.5
  
  • Semantic analysis, semantic parser, word2vec (vector to word)
- Lecture5.6
  
  • RNN long-term memory (TSTM) architecture

Our trainers are helping the enterprise to thrive (not just survive) to find breakthrough ideas, innovate and bring the ideas to life to win competitive battle in the digital era using RPA. They are Business Process Automation strategist who have designed products, coached & managed teams. We have trained over 1500 corporate executives in various RPA platforms.