Ever listen to these How Much Data Does Podcasts Use? We guarantee you'll find some new shows. Here are 25 of the best ones.
Super Data Science is a podcast hosted by Jon Krohn and Guests that focuses on providing practical advice on Machine Learning, A.I., and Data-Career Success to practitioners in the data science field. The podcast features interviews with experts in the field, who share their insights on topics such as the benefits of data science, strategies for data science success, and advice on working with data. Listeners are also given the opportunity to ask questions and get direct advice from the experts. The podcast is designed to help data science practitioners become successful in their field and to become more knowledgeable about the latest trends in the industry.
Data Skeptic is a podcast hosted by Kyle Polich that explores the concept of data science by discussing topics such as machine learning, artificial intelligence, statistics, and more. The podcast includes interviews with leading experts in the field, as well as educational content to help listeners gain a better understanding of data science. In addition to discussing data science topics, the podcast also features discussions on data ethics, data analysis, and other related topics. Data Skeptic offers a unique and entertaining way to learn more about data science and its related fields.
Tobias Macey's Data Engineering Podcast is a weekly show featuring in-depth interviews with data engineering professionals. In each episode, Tobias Macey speaks to a different data engineer to explore their experience and expertise in the field. Topics like cloud computing, data analytics, data modeling, programming, and software engineering are discussed. The podcast also covers topics such as the role of data engineers, the data engineering pipeline, and the challenges that come with being a data engineer. Additionally, Tobias Macey speaks to guests about their career paths, current projects, and tips for those just getting started in the field.
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