ODSC APAC Virtual Conference 2021
- Event organized by Open Data Science Conference (ODSC)
- 15 - 16 September, 2021
- Virtual
- Webinars & Online Events Event
- Visit website
Event description
ODSC APAC Virtual Conference 2021 is one of the largest applied data science conferences. Our speakers include core contributors to many open source libraries and languages. Attend ODSC APAC Virtual Conference 2021 and learn the latest AI & data science topics, tools, and languages from some of the best and brightest minds in the field.
In our tutorials and workshops, get hands-on with the latest data science platforms, tools, models, and techniques. Forge a connection with these rock stars from industry and academia who are passionate about teaching data science skills to those who will build the future of the industry.
With over 20 workshops over 2 days, ODSC APAC offers an unprecedented breadth and depth of instruction.
- Gain in-demand skills to enhance your data science career or simply become a better data scientist
- Many topics and formats to choose from, including talks, tutorials and workshops all in one single place
- Connect with 5,000 fellow data scientists, innovators, practitioners, and influencers
- Learn from the best and brightest in AI and data science to accelerate your learning and insights
- Learn from the core contributors behind hugely popular tools such as scikit-learn and Caffe
- Meet executives from multiple industries using AI and data science to transform their industries
Focus Areas: Deep Learning, Machine Learning, Research Frontiers, Data Visualization, Data Engineering/MLOps, Natural Language Processing
Topics: Recommendation Systems, Transfer Learning, Machine Vision, Autonomous Machines, Conversational AI, Artificial Intelligence, Speech Recognition, Unsupervised Learning, Image Classification, Machine Translation
Tools: Tensorflow, Keras, PyTorch, Caffe, MXNet, Scikit-learn, Theano, Shogun, Pylearn2, Python, Jupyter Notebooks, R programming, Julia, Scala, Stan, Apache Spark, MLlib, Streaming, Azure ML, Amazon ML,H20.ai, Cloud ML, Neo4J, D3.js, R-Shiny, Hadoop, Apache Storm, Apache Flink, Kafka, Druid
Topics
- Electronics, IT and Telecomms