The data revolution is here. Leaders who don’t adapt will be left behind. In this podcast, we interview business leaders who have made their companies more data-driven. They share their stories and the strategi...

Leading women in data science share their work, advice, and lessons learned along the way. Hear how data science is being applied and having impact across domains— from healthcare to finance to climate change a...

Welcome to DataFramed, a weekly podcast exploring how artificial intelligence and data are changing the world around us. On this show, we invite data & AI leaders at the forefront of the data revolution to shar...

Hosted by Al Martin, WW VP Account Technology Leaders at IBM. Making Data Simple provides the latest thinking on leadership, big data, A.I., and the implications for the enterprise from a range of experts.

Data Driven: the podcast where we explore the emerging field of Data Science. We bring the best minds in Data, Software Engineering, Machine Learning, and Artificial Intelligence right to you every Tuesday. ...

Artificial intelligence is a tremendously beneficial technology that's advancing at an incredibly rapid pace. As more and more organisations adopt and implement AI we find that the main challenges are not in ...

The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical t...

Keep it casual with the Casual Inference podcast. Your hosts Lucy D'Agostino McGowan and Ellie Murray talk all things epidemiology, statistics, data science, causal inference, and public health. Sponsored by th...

This show goes behind the scenes for the tools, techniques, and difficulties associated with the discipline of data engineering. Databases, workflows, automation, and data manipulation are just some of the topi...

Each episode puts the lights on various data topics with renowned industry experts. We cover the following topics in a fun and informative interview format: data science, data analytics, machine learning, artif...

Hilary and Roger discuss using APIs in R, doing short-term contract data/software work, validating paranoia, and lessons learned from data analysis. Show Notes: Y2K Benford’s Law Support us through our Patreon ...

This week I answer your questions about machine learning and how to educate yourself further in the field. Additional materials: www.superdatascience.com/446

See the full show notes for this episode on the website at pythonbytes.fm/221

Today we’re joined by Luna Dong, Sr. Principal Scientist at Amazon. In our conversation with Luna, we explore Amazon’s expansive product knowledge graph, and the various roles that machine learning plays throu...

Brian and I discuss a range of topics related to his latest book, The Alignment Problem: Machine Learning and Human Values. The alignment problem asks how we can build AI that does what we want it to do, as opp...

Our lives are framed, every day by data and statistics, though we may not always be aware of that fact. Helping us make sense of this universe of data is the goal of many an economist, statistician, and journal...

Sinan Ozdemir joins us to share his work in conversational AI and what it takes to keep chatbots up to date and functional in an ever-changing world. In this episode you will learn: • Kylie.ai under Directly [...

As we continue to develop more and more sophisticated AI systems, an increasing number of economists, technologists and futurists have been trying to predict what the likely end point of all this progress might...

Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making...

We have Matthew Dixon, Assistant Professor of Applied Math at the Illinois Institute of Technology and author of the textbook, Machine Learning in Finance: From Theory to Practice. He has also written several j...