DataHack Radio Podcast
1) 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...Show More
Episode #25: All you Need to Know about TensorFlow with Google's Paige Bailey
45:53 | Sep 24th, 2019
2) 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 ...Show More
Episode #24: Exploring and Designing Chatbots with RASA's Justina Petraitytė
47:43 | Jul 24th, 2019
3) 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 i...Show More
4) 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 awar...Show More
5) 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 ...Show More
Episode #21: Detecting Fake News Using Machine Learning With Mike Tamir, PhD
43:48 | Apr 11th, 2019
6) 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...Show More
Episode #20: Building Interpretable Machine Learning Models with Christoph Molnar
35:52 | Mar 20th, 2019
7) Episode #19: The Path to Artificial General Intelligence with Professor Melanie Mitchell
How close are we to Artificial General Intelligence (AGI)? It seems we take a step closer to that reality with every breakthrough. And yet, it feels far too away in the future. Why are we so far away...Show More
8) Episode #18: Andriy Burkov's Journey to Writing the Ultimate 100-Page Machine Learning Book
In this episode, we talk to Andriy Burkov, Machine Learning Team Leader at Gartner and author of the Hundred-Page Machine Learning Book. The book has quickly ascended the bestseller list and is perch...Show More
9) Episode #17: Reinforcement Learning with Professor Balaraman Ravindran
In this podcast, Kunal speaks to Professor Ravi about his background, his interest and research in reinforcement learning, and the intricacies and nuances of this field. Professor B. Ravindran has an...Show More
10) Episode #16: Kaggle Grandmaster SRK’s Journey and Advice for Data Science Competitions
SRK is an inspiration and enigma in the data science community. Whether it's his analytical acumen, wealth of experience, or down-to-earth demeanour, we could all learn something from him. In this epi...Show More