![]() ![]() Tyler: As I look across Ancestry and family history, we almost have, like, every kind of machine learning problem you might want, I mean, probably not every kind, but we have genetically based machine learning problems on the DNA science side. Go to /datacrunch to learn more and get some freebies.Ĭurtis: Who is a Senior manager of data science at Ancestry. If done well, making data understandable can create breakthroughs in your company and lead to recognition and promotions in your job. According to, the average salary for a Tableau Developer is above $50 per hour. Lightpost Analytics is offering a training academy to teach you Tableau, an industry-leading data visualization software. Ginette: This episode of Data Crunch is supported by Lightpost Analytics, a company helping bridge the last mile of AI: making data and algorithms understandable and actionable for a non-technical person, like the CEO of your company. Ginette: And you are listening to Data Crunch.Ĭurtis: A podcast about how data and prediction shape our world. Today we’re going to dive into the data side of this hobby with the leading family history research company. Personal DNA testing products have exploded in popular over the past three years, but beyond this popular product, lots of people go a step further and start tracing their roots back to piece together the puzzle of their family tree. ![]() And whether that’s true or not, it’s has had a lot of growth recently. Ginette: Today we peek into an area rich in data that has lots of interesting AI and machine learning problems.Ĭurtis: The second most popular hobby in the United States, some claim, is family history research. Tyler Folkman, senior manager at Ancestry, the leading family history company, describes to us how he and his team use convolutional neural networks, LSTMs, conditional random fields, and the like to more easily piece together the puzzle of your family tree. Today, it’s so much easier to trace your roots back to find out more about your progenitors. How can artificial intelligence, machine learning, and deep learning benefit your family? These technologies are moving into every field, industry, and hobby, including what some say is the United State’s second most popular hobby, family history.
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