• Building a conversational AI using open source tools

    This meetup is supported by CoworkDelhi. Agenda:[masked] Registration and Introduction to Cowork Delhi[masked] ODSC intro[masked] Conversational AI overview and Business use cases[masked] Break[masked] Building a conversational AI using open source tools (Practical Session), Bring your charged laptops and chargers[masked] Meetup Retro, Group Photo, and Closing remarks[masked] Lunch and Networking Speaker: Alkesh Srivastava, Machine Learning Engineer at Smalt and Beryl Pvt. Ltd https://www.linkedin.com/in/alkeshsrivastava11/ Topic: Building a conversational AI using open source tools Abstract: Conversational AI is changing the way businesses interact with their customers. AI-powered chatbots and voice assistants ensure that the businesses are ready to serve customers whenever and wherever needed. The conversational chatbots have come a long way from their rule-based predecessors and almost every tech company today employs a conversational agent to serve their customers. In this session, we will learn how to build a conversational AI using Rasa - an open source machine learning toolkit. The chatbot will be able to understand the user context and will help him accomplish his goal. Using an open source tool like Rasa ensures that you do not have to yield the control of your data to third-party providers. It also allows you to have a better control In this session, we will be using Rasa NLU and Rasa Core to build a contextually aware conversational AI. Prerequisites - Basic understanding of NLP/NLU is desirable but not necessary. Bio: Alkesh Srivastava is a Machine Learning Engineer at Smalt and Beryl Pvt. Ltd. He is also the co-founder of Voiceano - voice interaction design and development studio which builds conversational interfaces for businesses. Alkesh has experience in building machine learning powered conversational AI using tools like Dialogflow, IBM Watson and Rasa. He holds a bachelor's degree in Electronics and Communication Engineering from JSSATE Noida. ODSC Links: • Get free access to more talks like this at LearnAI: https://learnai.odsc.com/ • Facebook: https://www.facebook.com/OPENDATASCI/ • Twitter: https://twitter.com/odsc & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science/ • India Conference Aug 7 - 10: https://india.odsc.com/ • West Conference Oct 29 - Nov 1: https://odsc.com/california • Europe Conference Nov 19 - 22: https://odsc.com/london

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  • ODSC India 2019 Warm-Up: Machine Learning & Deep Learning

    We want to invite you to participate in the ODSC Webinar! Learn the latest models, advancements, and trends from the top practitioners behind two of the Data Science’s hottest topics: Machine Learning and Deep Learning. During the webinar, you will get to know more about two sessions you can attend at our conference in Bengaluru on August 7-10, 2019. Date: June 30th, 2019 Time: 11 - 12:00 am IST To access this webinar, please register using the link below: https://attendee.gotowebinar.com/register/5798201301243123979 Agenda: A Hands-on Introduction to Natural Language Processing Speakers: Dipanjan Sarkar (Data Scientist, Red Hat) and Anuj Gupta (Scientist, Intuit) Being specialized in domains like computer vision and natural language processing is no longer a luxury but a necessity that is expected of any data scientist in today’s fast-paced world! With a hands-on and interactive approach, we will understand essential concepts in NLP along with the extensive case-studies and hands-on examples to master state-of-the-art tools, techniques, and frameworks for actually applying NLP to solve real-world problems. We leverage Python 3 and the latest and best state-of-the-art frameworks including NLTK, Gensim, SpaCy, Scikit-Learn, TextBlob, Keras and TensorFlow to showcase our examples. You will be able to learn a fair bit of machine learning as well as deep learning in the context of NLP during this boot camp. Deep learning powered Genomic Research Speakers: Dr. C.S.Jyothirmayee (Sr. Scientist, Novozymes South Asia Pvt Ltd), Usha Rengaraju (Principal Data Scientist, Mysuru Consulting Group) and Vijayalakshmi Mahadevan (Faculty Scientist, Institute of Bioinformatics and Applied Biotec) Deep learning models are helping to analyze and interpreting tiny genetic variations ( like SNPs – Single Nucleotide Polymorphisms) which result in unraveling of crucial cellular process like metabolism, DNA wear and tear. These models are also responsible in identifying disease like cancer risk signatures from various body fluids. They have the immense potential to revolutionize healthcare ecosystem. Clinical data collection is not streamlined and done in a haphazard manner and the requirement of data to be amenable to a uniform fetchable and possibility to be combined with genetic information would power the value, interpretation and decisive patient treatment modalities and their outcomes. ODSC Links: • Get free access to more talks like this at LearnAI: https://learnai.odsc.com/ • Facebook: https://www.facebook.com/OPENDATASCI/ • Twitter: https://twitter.com/odsc & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science/ • ODSC India: https://india.odsc.com/

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  • Intro to GAN with TensorFlow & Explainable and interpret-ability of AI solution

    Agenda:[masked] ODSC intro and networking[masked] Session by Avni[masked] Session by Kriti[masked] Shared Workspace overview[masked] Meetup feedback and Closing remarks[masked] Lunch and networking space Speaker#1: Avni Gupta, Technology Lead at SYNDUIT LLC https://www.linkedin.com/in/avnidas/ Topic#1: Introduction to GANs with TensorFlow Abstract: Learning about GANs, how they work. Will then generate synthetic digit images using the MNIST dataset. Bio: Avni has been working in the IT industry for 12 years. She is leading the Data Analytics department at Synduit. Prior to this, she worked with MakeMyTrip and Wize Commerce and Infosys. She holds a Post Graduation in Big Data and Machine Learning from Great Lakes Institute of Management, MBA from IMT Ghaziabad and B.Tech in Computer Science. Speaker#2: Kriti Doneria, Decision Scientist at ZS||Analyst at Absolutdata https://www.linkedin.com/in/kritidoneria/ Topic#2: Explainable AI and interpret-ability of AI solutions: Strategic overview challenges and caveats Abstract: With the exponential increase in computing power available, several AI algorithms that were mere papers written decades ago have become implementable. For a data scientist, it is very tempting to use the most sophisticated algorithm available. But given that its applicability has moved beyond academia and out into the business world, are numbers alone sufficient? Putting context to AI, or XAI (explainable AI) takes the black box out of AI to enhance human-computer interaction. This talk shall revolve around the interpret-ability-complexity trade-off, challenges, drivers and caveats of the XAI paradigm, and an intuitive demo of translating inner workings of an ML algorithm into human understandable formats to achieve more business buy-ins. Bio: Currently, Kriti works closely to design data-driven business decisions support systems for Fortune 500 companies. Her research interests revolve around emerging technologies and algorithms (Cloud computing, AI/Ml, AR/VR, etc).In the past, she has also been one of the highest rated competitive coders in the country. Kriti holds an MBA (Analytics and marketing) from IIT Kanpur and B.Tech in computer science. ODSC Links: • Get free access to more talks like this at LearnAI: https://learnai.odsc.com/ • Facebook: https://www.facebook.com/OPENDATASCI/ • Twitter: https://twitter.com/odsc & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science/ • India Conference Aug 7 - 10: https://india.odsc.com/ • West Conference Oct 29 - Nov 1: https://odsc.com/california • Europe Conference Nov 19 - 22: https://odsc.com/london

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