data science conference 2020

Initiative of Aegis. Data Science, Statistics & Visualisation (2020) is a virtual conference aimed at bringing together researchers and practitioners interested in the interplay of statistics, computer science, and visualization, and to build bridges between these fields. Stay tuned for more details! Topics: MACHINE LEARNING and AI, DEEP LEARNING, COMPUTER VISION, NLP, GNN, RNN, NEURAL NETWORKS |   HOME    |   TERMS    |    FAQ    |    VENUE   |   AGENDA    |   SPEAKERS   |   PICTURES   |   ARCHIVES   |   ABOUT    |   BOARD   |    CONTACT   |. Find an Expert |. HOME                       SPEAKERS                      AGENDA                        VENUE                         ABOUT                     REGISTER, BOARD                         TERMS                             FAQ                           PICTURES                   ARCHIVES                   CONTACT. CONF-CDS 2021 is open to international participants. Quick guide to the conference activities: They conduct one amongst the best events where researchers, pioneers and newcomers in the field of data mining collaborate to express their thoughts and discuss new trends in Data Mining. They will also deliver unconventional intelligence and analysis of the key data issues challenging companies as 5G begins to roll-out and the Internet of Things continues to rise. : Deep Learning, Business, Workshops, Industry 4.0, Healthcare, Finance, etc. Connect with hundreds of other high achievers at the 4th edition of California’s Premier Data Science Conference. About. Learn from industry pioneers in speech & pattern recognition, neural networks, image analysis and NLP. Typically London is a very popular location for hosting conferences. IM Data conference unites the brightest industry professionals, in numerous data science and technical fields to talk about innovative methods in data science, machine learning and AI. Alessandro Panella from Facebook (Data Science Manager), Amit Gandhi from Microsoft Cloud Infrastructure (Chief Economist), Anand Dwivedi from Nasdaq (Data Scientist- MI Lab), Charles Midwinter from Facebook (Data Scientist), David Harkness from National Geographic (VP of Data science & Predictive Analytics), Gaia Bellone from KeyBank (Senior Vice president and Data Science Leader), Julian Jenkins from Google (Senior Data Scientist), James Guszcza from Deloitte Consulting (US Chief Data Scientist). Problem solvers from Data Science, GIS and Analytics communities came together in a virtual event to look at 38 different spatial analysis projects in the private and public sectors, as well as non-profits and academia. Sponsors: Understand.ai, alpha i, Bloomsbury AI, Tractable, IRIS.AI, Topics covered: Pattern recognition, AI Assistant, and many more. All industry presentations, all about data science, no sales pitches, no aggressive recruiting, networking you can use! It will bring together pioneers in all of these areas and will furnish best-in-class wisdom to those striving to understand the multiple legal and business issues that go into fabricating a world-class data management and exploitation strategy. SDSS provided a unique opportunity for data scientists, computer scientists, and statisticians to come together and exchange ideas. Extraordinary Speakers: Discover technologies in deep learning algorithms and methods from the globe’s leading innovators. Topics Covered: Future of Education, Sustainability, Healthcare, Ethics, Machine Learning, Deep Learning, Robotics, AI for Good. Our freelancers have helped companies publish research papers, develop products, analyze data, and more. Workshops. She has a degree in Marketing Management and is interested in technology. This conference will provide a forum to present work that advances mathematical, statistical, and computational methods in the context of data and information sciences and aims to unite researchers who are building mathematical foundations for data science and making principled applications to science, engineering, technology, and society. Their distinctive mixture of academia and industry enables you to meet with AI vanguards at the forefront of research, as well as inspecting real-world case studies to discover the business value of AI.

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