2017 was a tumultuous year for ARTIFICIAL intelligence; 2018, the year of artificial intelligence landing; 2019-2022, ARTIFICIAL intelligence is destined to soar! As an IT person, how to ride the wave of ARTIFICIAL intelligence and continue to learn, this lecture will answer your questions about modeling in machine learning.


Live time: 19:40 on December 5, 2018

Registration link:Modeling problems in machine learning


Speaker: Yu Ziye


Guest Profile:

  • Doctor of Chinese Academy of Sciences
  • 5 years + experience in machine learning data analysis
  • Good at artificial intelligence algorithm development
  • Enterprise technology internal training lecturer

More than 5 years experience in machine learning data analysis, and have participated in several machine learning projects and algorithm development. Engaged in artificial intelligence algorithm design projects, good at using Tensorflow for algorithm development and optimization, have in-depth research on HPC system of high performance computing

Lecture Topic:

1. How to define machine learning

2. Features: Features of various types of data

3. Modeling: The heart of machine learning problems

4. Various modeling examples

5. Overuse of deep learning models

6. Exchange questions

Suitable group:

1. Java/.net/php/c/python, etc

2. Mathematics/economics/statistics/Computer or other mathematics or computer practitioners

3. People interested in big data and artificial intelligence


                                                   


                                

(Or qr code can be recognized in the picture for registration oh ~)