Data Science Congress 2018

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Fri, 18 May 2029 to Mon, 18 Jun 2001, 00:00

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29 May to 1 June 2018, Mumbai, India. A juncture of Data Science, Analytics, Big Data, Machine Learning, Artificial Intelligence, Cognitive Computing, Blockchain, IoT and Cyber Security You trust the energy of data, you trust the data is new oil, you know you can transform data into data and data into knowledge, so you have a place with the biggest data science occasion, showing Data Science Congress 2018 from 29 May to 1 June 2018. Data Science Congress is the result of India's have to make a seller impartial stage for learning sharing, prescribed procedures, advancements, utilize cases sharing and setting up an exchange among the experts, clients and tech merchants. DSC has ended up being the stage with rich data about most recent techniques, instruments and elite practices in the realm of data science. You will have the benefit to profit the a large portion of this surge of data and can capitalize on experiences and data investigation.Workshops at Data Science Congress 2018 Deep Learning by Nvidia DLI Type: Premium | Duration: Full Day | Certificate: Yes The Aegis School of Data Science and NVIDIA Deep Learning Institute (DLI) offers hands-on training in artificial intelligence (AI) and accelerated computing to solve real-world problems. Start a self-paced online course at your convenience or take the course in an instructor-led workshop. No matter how you learn best, DLI gives you access to a fully configured, GPU-accelerated workstation in the cloud, complete with software tools, neural networks, and datasets. All you need is a web browser and Internet connection to get started. Natural Language Understanding Type: Premium | Duration: Full Day | Certificate: Yes Natural Language Processing (NLP) addresses the problems of automated understanding and generation of natural human languages. The former identifies the syntactic structure of a sentence, judges the semantic relations among the syntactic constituents, in hopes of reaching at an eventual understanding of the sentence. The latter process constructs the semantic structures and syntactic constituents according to the semantic and syntactic properties of the lexical items selected, and eventually generates grammatically well-formed sentences. The goal of the NLP applications is to facilitate human-machine communication using natural languages. In particular, it is to establish various computer application software systems to process natural language, such as machine translation, computer-assisted teaching, information retrieval, automatic text categorization, automatic summarization, speech recognition and synthesis, information extraction from the text, intelligent search on the Internet. Today, with the wide use of the Internet, the demand for language information puts a high premium on automated processing of massive language information.


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