Keeping the science in data science | Tessa Jones Keeping the science in data science | Tessa Jones From studying extreme environments to using data to answer business questions, Tessa Jones from Calligo shares how her science-focused mind has helped her succeed in data science. Posted 4 weeks ago
The Data Science Celebrity Q&A: Meet P. Value (aka p-value) Our interviewer sat down with P. Value, the popular but sometimes mystifying statistical calculation, for an exclusive Q&A. Hear its origin story, and learn why its success isn’t j... Posted 2 weeks ago Building a 'Return to Work' Timetable in Alteryx Using Alteryx Designer to optimise the use of office space as governments begin to start allowing people to return to work. Posted 3 weeks ago Vital Signs: Assessing Data Health and Dealing with Outliers Learn about the diagnostic powers of the Data Health Tool and find out how to take action on your results, especially outliers you find. Posted 3 weeks ago Normalization, Standardization, and Regularization in Altery... Ever get a little confused by these three terms that sound so similar? Let's get some clarity on these important concepts. Posted a month ago Using Text Data in EvalML with Woodwork Learn how EvalML leverages Woodwork, Featuretools and the nlp-primitives library to process text data and create a machine learning model that can detect spam text messages. Posted 03-12-2021 Exploring EvalML: Automatically Build, Optimize and Evaluate... Go on a guided tour of how EvalML automatically builds, optimizes and evaluates supervised machine learning pipelines. Posted 03-11-2021 Exploring Featuretools: Automated Feature Engineering for Ma... Let's explore how Featuretools generates new features for use in machine learning — automatically, quickly and easily. Posted 03-08-2021 Metric Matters, Part 2: Evaluating Regression Models Feeling determined, absolute or maximum? Find the right metrics for evaluating your regression models. Posted 03-02-2021 Metric Matters, Part 1: Evaluating Classification Models The metrics you choose to evaluate your models matter, but with so many choices, which one should you select? Posted 02-25-2021 View All Blog Posts
Empowering data scientists to find creative solutions | John... How can leaders encourage data scientists to experiment? Best selling author John K. Thompson joins us to share tips, including the importance of having a psychological understandi... Posted 2 weeks ago Bringing order to the data supply chain with Snowflake | Kri... Kristen Werner, Director of Data Science and Engineering at Snowflake, highlights how data engineering and automation can enhance the human experience of being a data scientist. Posted 03-08-2021 Shaping policy for ethical innovation in AI | Alex Engler Alex Engler, Brookings Institution research fellow and data scientist, walks us through the present and future state of public policy regarding AI and what that means for data scie... Posted 02-22-2021 Facing the learning curve with courage | Margot Gerritsen Margot Gerritsen, Stanford professor and a founder of Women in Data Science, joins us for our debut episode. Posted 02-07-2021 Introducing: Data Science Mixer Data science is one of those topics where there's always more to learn. Alteryx is launching a new podcast specifically to help you expand your data science knowledge... without ex... Posted 02-05-2021 VIEW ALL PODCAST EPISODES View All
