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.
https://soundcloud.com/datahack-radio/all-need-know-about-tensorflow-googles-paige-bailey Introduction TensorFlow is easily the most widely used deep learning framework right now. The idea behind TensorFlow (TF) has even spawned multiple products, …
https://soundcloud.com/datahack-radio/exploring-designing-chatbots-rasa-justina-petraityte Introduction Chatbots are the most common application of Natural Language Processing (NLP). Organizations are scrambling to integrate chatbots into their daily functions to …
https://soundcloud.com/datahack-radio/ines-montani-matthew-honnibal-the-brains-behind-spacy Introduction What would you do if you had the chance to pick the brains behind one of the most popular Natural Language Processing …
In one of the most fascinating DataHack Radio podcasts, Dat Tran joins us to talk about computer vision and data engineering related topics.
https://soundcloud.com/datahack-radio/detecting-fake-news-machine-learning-mike-tamir-phd Introduction Fake news is one of the biggest scourges in our digitally connected world. That is no exaggeration. It is no longer limited …
This DataHack Radio episode with Christoph Molnar looks at interpretable machine learning and it’s importance.
https://soundcloud.com/datahack-radio/episode-19-artificial-general-intelligence-professor-melanie-mitchell/s-Fifpf Introduction “People underestimate how complex intelligence is.” How close are we to Artificial General Intelligence (AGI)? It seems we take a step closer …
Announcing a brand new podcast by Analytics Vidhya to help you ace data science interviews! Here are the first three episodes and their key takeaways.
In this episode, we talk to Andriy Burkov about his bestselling book, the idea behind it, his work in NLP, advice to data scientists, and much more!
We welcome Professor B. Ravidran to talk about his passion for reinforcement learning, the current state of the field, and how it all actually works!
