A big chunk of your effort in becoming a (better) Data Scientist will always involve sitting in front of your monitor and actually work on projects and trainings. But apart from that, there is also a lot of commute and travel time, where you won't have your notebook with you.
Podcasts are a great opportunity to fill this void and as a matter of fact, there are many wonderful podcasts covering data science topics such as neural networks, statistics, programming in Python, R, Julia and real world data science workflows.
Super Data Scientist
Kirill Eremenko is a Data Science coach and lifestyle entrepreneur. The goal of the Super Data Science podcast is to bring you the most inspiring Data Scientists and Analysts from around the World to help you build your successful career in Data Science. Data is growing exponentially and so are salaries of those who work in analytics. This podcast can help you learn how to skyrocket your analytics career. Big Data, visualization, predictive modeling, forecasting, analysis, business processes, statistics, R, Python, SQL programming, tableau, machine learning, hadoop, databases, data science MBAs, and all the analytcis tools and skills that will help you better understand how to crush it in Data Science.
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 thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.
Talking Machines is your window into the world of machine learning. Your hosts, Katherine Gorman and Neil Lawrence, bring you clear conversations with experts in the field, insightful discussions of industry news, and useful answers to your questions. Machine learning is changing the questions we can ask of the world around us, here we explore how to ask the best questions and what to do with the answers.
Enrico Bertini and Moritz Stefaner discuss the latest developments in data analytics, visualization and related topics.
Learning Machines 101
Smart machines based upon the principles of artificial intelligence and machine learning are now prevalent in our everyday life. For example, artificially intelligent systems recognize our voices, sort our pictures, make purchasing suggestions, and can automatically fly planes and drive cars. In this podcast series, we examine such questions such as: How do these devices work? Where do they come from? And how can we make them even smarter and more human-like? These are the questions that will be addressed in this podcast series!
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