Comet provides a self-hosted and cloud-based meta machine learning platform allowing data scientists and teams to track, compare, explain and optimize experiments and models. Backed by thousands of users and multiple Fortune 100 companies, Comet provides insights and data to build better, more accurate AI models while improving productivity, collaboration and visibility across teams.
Register for future sessions here: http://bit.ly/comet-ml-oh
Checkout Comet ML by visiting: https://www.comet.ml/
Or on Twitter: https://twitter.com/CometML
Connect with Ayodele
LinkedIn: https://www.linkedin.com/in/ayodeleodubela/
Twitter: https://twitter.com/DataSciBae
Check out her course on LinkedIn Learning: https://www.linkedin.com/learning/supervised-learning-essential-training/supervised-machine-learning-and-the-technology-boom
[00:00:24] Getting to know my co-host, Ayodele
[00:04:01] Ayodele talks about her new course on LinkedIn Learning
[00:04:57] What is a data evangelist?
[00:06:04] Why Comet ML decided to pair up with The Artists of Data Science
[00:07:20] Where Comet ML fits into the machine learning lifecycle
[00:12:58] What are the do’s and don'ts for anyone who wants to get into machine learning?
[00:21:23] How to find labels for data in an image recognition project?
[00:25:55] MLOps Engineer vs Machine Learning Engineer?
[00:30:04] How do we convince senior leaders that we need an ML solution?
[00:40:50] The trials and tribulations of being the only data scientist in an organization: dealing with what to learn and imposter syndrome.
[00:53:37] How to learn more about a company
[00:57:39] Struggles with linear algebra
[01:02:56] Building data pipelines
[01:04:25] Paying for internships