The fields of data science and machine learning are moving ever faster. Jenn Gamble has her finger on the pulse and has become an industry expert with a wealth of experience to her name. As today’s guest, she dives into these rich and often complex topics, and she helps us boil them down into palatable nuggets of knowledge. We start off by asking Jenn about her current role at Very, and she tells us about the nature of her team and the things they’re able to achieve. She touches on what the language markups look like for a data science team, before moving onto her experiences in machine learning and data science. Delving deeper, Jenn tells us why it is not a necessity to have a master’s in data science, and why you can be well enough equipped in other senses to become proficient in the area. Later on, she reveals the differences between Elixir models and data science models. Following these detailed explanations, she furnishes listener’s minds with informative comments on relating the foundations of machine learning to IoT, using priori knowledge to add nuance to your machine learning, and how she envisions the future of data science. Join us today and be sure to get all this, and much more!

Key Points From This Episode:

Links Mentioned in Today’s Episode:

SmartLogic — https://smartlogic.io/

Special Guest: Jenn Gamble.