1. 13:30-13:40 The host opens
2. “- 40
“Currently he is senior product director of ARTIFICIAL Intelligence of Ping An Technology and the head of Ping An Deep Learning platform. He focuses on the RESEARCH and development of artificial intelligence in the field of financial big data and is a member of the Expert Committee of Big Data of China Computer Society. He has published more than 20 international journal and conference papers in cloud computing, big data and deep learning.”
3. 14:40-14:50 Live Q&A interaction
4. The name – now
“Doctor of Huazhong University of Science and Technology, senior data mining engineer of Ping An Technology Company. He is engaged in machine learning, big data and architecture research, and has a deep understanding of the application of deep learning in image, speech and natural language. He has rich experience in deep learning model compression and acceleration and AI-oriented cloud platform.”
5. 15:50-16:00 Live Q&A interaction
6. Project consultation from 16:00 to 17:00
Theme: FMI2018 Offline Technology Salon (Shenzhen Station)
Time: 2018-05-12 13:30
Address: 4A901, Fountainhui Business Incubator, Software Industry Base, Nanshan District, Shenzhen
After landing site registration: http://www.fmi.com.cn/index.php?m=content&c=index&a=show&catid=10&id=3176
Sponsor: Halo International, FMI Pegasus
FMI Pegasus (www.fmi.com.cn) is committed to becoming “the entrance of talents in the era of ARTIFICIAL intelligence”, providing the best AI community platform and technology improvement solutions in the ERA of AI. It is a learning and exchange park for AI, big data, technical management and other personnel, where people share practical experience, real cases and technical questions, and spread the best practice of industry technology. Standing at the intersection of AI, big data, technology management and product operation, Pegasus has more than 100,000 members…
So far, more than 200 online and offline events have been organized, covering AI, big data, cloud computing, technology management and product operation. All over Beijing, Shanghai, Guangzhou, Shenzhen, Hangzhou, Tianjin, Shenyang and other cities, benefiting tens of thousands of industry elites!
Previous welfare concern public number [Pegasus], reply to the corresponding keywords package download learning materials; Reply “join the group”, join the Pegasus AI, big data, project manager learning group, and grow together with excellent people!
From beginning to research, the 10 most Readable books in the field of artificial intelligence
RSVP number “2” machine learning & Data Science must-read classic book with resource pack!
Into AI & ML: Learning machine Learning from Basic Statistics (PDF download)
Answer the number “4” to learn about ARTIFICIAL intelligence, 30 books should not be missed (with electronic PDF download)
Answer number “6” AI AI: 54 Industry Blockbuster Reports
TensorFlow Introduction, Installation tutorial, Image Recognition application (with installation package/guide)
According to a 160-page McKinsey report, 800 million people around the world could lose their jobs to machines by 2030
AI Artificial Intelligence/Big Data /Database/Linear Algebra/Python/ Machine Learning /Hadoop
Reply number “12” small white | Python + + machine learning Matlab neural network theory + practice + + + depth video + courseware + source code, download attached!
Reply number “14” small white | machine learning and deep learning required books + machine learning field video/PPT + large data analysis books recommend!
Reply to the number “16” 100G Python from beginner to Master! Complete video tutorials + Python Classics for self-study!
Answer number “17” 【 dry article 】31 papers on deep learning required reading
526 Industry reports + White papers: AI, Artificial intelligence, robotics, smart mobility, smart home, Internet of Things, VR/AR, blockchain, etc. (download)
FMI Artificial Intelligence and Big Data Summit Guest Speech PPT
Top 10 AI Jianghu Fields
Machine Learning Practical Experience Guide
More than 100 Papers on deep Learning
Top ten Classic Algorithms of Data Mining
6.10 Ele. me & Pegasus Project Management Practice PPT