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DataHack Radio is an exclusive podcast series from Analytics Vidhya that features Kunal Jain in conversation with the top data science and machine learning industry leaders and practitioners.

DataHack Radio Analytics Vidhya

    • Teknologi

DataHack Radio is an exclusive podcast series from Analytics Vidhya that features Kunal Jain in conversation with the top data science and machine learning industry leaders and practitioners.

    Episode #25: All you Need to Know about TensorFlow with Google's Paige Bailey

    Episode #25: All you Need to Know about TensorFlow with Google's Paige Bailey

    TensorFlow is easily the most widely used deep learning framework right now. The idea behind TensorFlow (TF) has even spawned multiple products, such as TensorFlow.js, Swift for TensorFlow, TensorFlow Lite, among other things.

    And who better to talk about that, plus all things TensorFlow, than TF's very own Product Manager? We are delighted to welcome Paige Bailey on the latest episode of the DataHack Radio podcast! Read more about the podcast and get free resources here: https://www.analyticsvidhya.com/blog/2019/09/all-you-need-to-know-about-tensorflow-google-paige-bailey

    • 45 min
    Episode #24: Exploring and Designing Chatbots with RASA's Justina Petraitytė

    Episode #24: Exploring and Designing Chatbots with RASA's Justina Petraitytė

    Chatbots are the most common application of Natural Language Processing (NLP). Rasa is an open source framework that we can leverage to build our own chatbots. So we are delighted to have Rasa's data scientist and Head of Developer Relations, Justina Petraitytė, on our DataHack Radio podcast! Read more here:https://www.analyticsvidhya.com/blog/2019/07/exploring-designing-chatbots-rasa-justina-petraityte

    • 47 min
    Episode #23: Ines Montani and Matthew Honnibal - The Brains behind spaCy

    Episode #23: Ines Montani and Matthew Honnibal - The Brains behind spaCy

    We are delighted to welcome Ines Montani and Matt Honnibal, the developers of spaCy - a powerful and advanced library for NLP. Everything you've ever wanted to know about the wonderful spaCy library is right here in the latest DataHack Radio podcast.

    Highlights of topic covered:
    - The idea behind developing spaCy
    - spaCy's awesome evolution from the first alpha release to the current version 2.1
    - Use cases of spaCy including a couple of surprising applications
    - Ines and Matt's advice to NLP enthusiasts

    Read the full article here: https://www.analyticsvidhya.com/blog/2019/05/datahack-radio-ines-montani-matthew-honnibal-brains-behind-spacy

    • 45 min
    Episode #22: Exploring Computer Vision and Data Engineering with Dat Tran

    Episode #22: Exploring Computer Vision and Data Engineering with Dat Tran

    How do computer vision techniques work in an industry setting? How does an organization use data engineering to scale up its operations?

    These are questions every aspiring data scientist must be aware of. Dat Tran, Head of Data Science at idealo internet GmbH, is the perfect person to shed light on these questions. Read more about this podcast: https://www.analyticsvidhya.com/blog/2019/04/datahack-radio-exploring-computer-vision-data-engineering-podcast-dat-tran

    • 46 min
    Episode #21: Detecting Fake News Using Machine Learning With Mike Tamir, PhD

    Episode #21: Detecting Fake News Using Machine Learning With Mike Tamir, PhD

    Fake news is one of the biggest scourges in our digitally connected world. Can machine learning make a difference?

    We are thrilled to have Mike Tamir, Ph.D., on this episode as he talks about using ML to separate truth from fiction using his research project called FakerFact. Read more here: https://www.analyticsvidhya.com/blog/2019/04/datahack-radio-machine-learning-identify-fake-news-mike-tamir

    • 43 min
    Episode #20: Building Interpretable Machine Learning Models with Christoph Molnar

    Episode #20: Building Interpretable Machine Learning Models with Christoph Molnar

    How do we build interpretable machine learning models? Or, in other words, how do we build trust in the models we design? This is such a critical question in every machine learning project. We need to find a way to use these powerful ML algorithms and still make them work in business setting. So in this episode #20 of our DataHack Radio podcast, we welcome Christoph Molar, author of the popular book - "Interpretable Machine Learning". Who better to talk about this fundamental and critical topic? Read more here: https://www.analyticsvidhya.com/blog/2019/03/datahack-radio-interpretable-machine-learning-christoph-molnar

    • 35 min

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