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Upcoming events (3)
DESCRIPTION 1. Why This Program Learn Python from Experts Python is one of the most popular programing language , which is widely used in AI and Machine Learning. Strong teaching team composed of industry leaders and excellent senior PhD students - the best set of talents in SG you will probably see. Fully hands-on Have the opportunity to work through a real project each week, such asapplication for data collection and visualization. The homework is held on Kaggle and get additional practices beyond the classroom hours. Kaggle Competition with Awards We are going to hold a Kaggle competition for students in this class. The top 3 winners will be awarded S$500, S$300, S$100 accordingly. Community Work with the classmates every weekend in our classroom for your homework and projects with assistance from the TAs. Join our community with 2000+ Yidu AI members of data scientists, AI researchers and PE/VC investors. Job Referral Yidu AI has a strong network with many technology companies around Singapore and mainland China. You can get the referral from us if you wanna join these top tech companies. 2. Curriculum 4 Weekend courses: 1.5 hours teaching + 1.5 hours hands-on in-class project Course Project: A final project will be provided as a Kaggle competition for students. The top 3 team will be awarded S$500, S$300, S$100, respectively. 1. Programming Syntax and Object-Oriented Concept Week 1: Introduction to Python and development tools Week 2: Dive into Python world – Operators, statements, method and functions Week 3: Organize your – Object oriented programming and importing of modules Week 4: Get rid of bugs and error -- Error handling and logging Course Project: Customer profile survey for financial risk assessment 2. Data Analysis Week 1: Introduction to Big Data Analysis Week 2: Data Manipulation with Pandas Week 3: Data Visualisation and Regular Expression Week 4: Time-series Data Analysis 3. machine Learning in sklearn Week 1: Introduction to machine Learning Flow in sklearn Week 2: Modeling in sklearn Week 3: Feature engineering in sklearn Week 4: Model pipeline and deployment Course Project: Using sklearn to implement, deploy and maintain a practical credit scoring system 4. Deep Learning in Pytorch Week 1: Introduction to PyTorch and Neural Network Week 2: Word2Vec using PyTorch Week 3: CNN and RNN in PyTorch Week 4: Factorization Machine Using PyTorch Course Project: Sentiment Analysis using News Related to Finance Topics 3. Instructors Dr. Xu Nuo NUS phd. Senior data engineer in Grab. Three years experience in python and big data engineer. Dr. Xie Yaqi NUS phd. Two years experience of pyrotechnics and doing research in deep learning models. Dr. Ouyang Ruofei NUS phd. Data scientist lead in Wecash. Three years experience in python data analysis and modeling. Mr. See Youu NTU Graduate Senior software engineer in Xindots. 8 years experience in software development. 5 years of python web and mobile app development. Mr. Li Yuejun NUS master. Machine learning engineer in Wecash. Two years experience in python data analysis and modeling. 4. Application Now only the first two courses are open for registration. Please check https://www.eventbrite.sg/e/python-series-training-program-python-from-zero-to-hero-tickets-63165259993 for detailed information and ticket purchase. Program fees: Single course: S$349 (Original Price: S$399) Double courses: S$599 Other discounts: If you purchase this training program with your friend, both of you can get a S$100 voucher for any of our following courses. If you share our course information in your friend group or facebook and keep it for more than one day, you can get a S$10 voucher for any of our following courses. We also provide one-to-one teaching course, which only costs S$1200. Email: [masked]
school of computing, NUS
Calling all job hunters! Yidu AI, together with NextWave Partners, a recruitment company in Singapore, would like to invite new and soon-to-be graduates, and those who wants to change job to join us for an interactive session designed to offer insights to how to improve their CV and well prepared for the interview. Join us and get ready to own your future career ! Please register this event via this link: https://bit.ly/2GdhV26 Date & Location: Date: 3 pm, 27 July, 2019 Location: com[masked], school of computing, NUS, computing drive, Singapore,[masked] Host bio: Angie is a specialist Data recruiter who uses a people-focused consulting approach to help individuals find the right jobs. In this session, she'll be sharing what the current Data market looks like to help you plan your career and stay ahead of the Data curve. She'll also share tips to help you build up your resume and prepare for upcoming interviews so you have the best chances of getting your dream job.
Please register this event via this link: https://www.sginnovate.com/events/recent-advancement-dialogue-system-introduction Abstract: Nowadays we meet dialog systems virtually everywhere — when calling to a bank we will first contact with so-called auto-informer system, when driving to a new place we will use mobile assistance (Siri/Cortana). As conversation is a natural way for people to get information, dialog system will be applied to everywhere and every scenario for the foreseeable future. Dialog systems can be classified by Task-oriented and General-purpose: Task-oriented systems are created to solve a particular problem: find the information requested by a user, accomplish a task; while General-purpose systems are created to keep conversation with human to make conversation itself enjoyable. This talk will first give an introduction on both types of the dialogue systems, then introduce the recent research outcome and finally discuss the feasibility of unifying such two types of system within one solution framework. Date & Location: Date: 6:30pm - 8:30pm, 6 Aug, 2019 Location: BASH, Level 3, 79 Ayer Rajah Crescent, Singapore[masked] via Lift Lobby 3 Speaker bio: Wenqiang Lei is a fifth-year PhD candidate from School of Computing, National University of Singapore. His research interests focus on natural language processing and computational linguistics, covering topics in task and non-task -oriented dialogue systems, discourse analysis, conversational recommendation system and sequence-to-sequence model evaluation. He has published first-authored long papers on various top venues for natural language processing, inclusive of ACL, IJCAI and AAAI. And he has served as the reviewer for top venues like ACL and SIGIR.