Скачать с ютуб What is model monitoring? 🤯 Data Drift? 🧐 Learn the hard-part of data science with FREE tools 🔥 в хорошем качестве

What is model monitoring? 🤯 Data Drift? 🧐 Learn the hard-part of data science with FREE tools 🔥

One of the profound challenges of building a robust model pipeline and a data pipeline is to continuously monitor the models in production and the incoming data. Trends change, patterns change, seasonality changes, user behavior changes, and all of this can impact how your model performs in production, which in-turn will cause business disruptions. I believe having model monitoring as part of your MLOps workflow is critical to really have a robust pipeline that is integrated with multiple downstream applications. In this video, I have invited Wani Sharma, Senior Product Manager at Wallaroo.ai to share more insights about model monitoring and drift. This is part 1 of the video. In the second part of this video, we will be talking about some business use-cases for using model monitoring and how it impacts the business. In the next part you will also see me using Wallaroo.ai's Community Edition tool for model monitoring called "Assay" which is absolutely FREE for any data scientist to use! Resources: 1. Assay tutorial: https://docs.wallaroo.ai/wallaroo-tut... 2. Repo: https://github.com/WallarooLabs/Walla... 3. Documentation: https://docs.wallaroo.ai/wallaroo-tut... 4. Wallaroo Home Page: https://www.wallaroo.ai Stay tuned for the next video! If you found this video helpful, share it with your friends and colleagues who might find this interesting. Please do like the video and subscribe to the channel to show your support 😄