Friday Afternoon Updates
For the second season of Databricks’ Data Brew, we will be focusing on machine learning, from research to production.
We will interview folks in academia and industry to discuss topics such as data ethics, production-grade infrastructure for ML, hyperparameter tuning, AutoML, and many more.
Good machine learning starts with high quality data. Irina Malkova shares her experience managing and ensuring high-fidelity data, developing custom metrics to satisfy business needs, and discusses how to improve internal decision making processes.
ElectrifAi has teamed up with Snowflake to make it easier than ever for you to implement pre-built machine learning models on their platform – so you can accelerate your Ai projects and achieve strategic outcomes faster.
My teammate Jim Marten shows how you can integrate your data in Snowflake with ElectrifAi’s pre-built ML models using Snowpark and Java user-defined functions (UDFs).
In this third episode of the fifth season, Andy turns the microphone on me and interviews me!
In this video, Ashly Yeo will demo the exciting announcement made at MS Build about What’s new in Text Analytics for Health.
Finland is building the largest and most powerful nuclear reactor in Europe and may have worked out what to do with spent nuclear fuel once and for all.
The B1M reports.
Curbal reviews the updates for Power BI from Build 2021 here in this video.
Seytonic highlights a “new” WiFi hack that’s been around since the heyday of WEP in the 90s.
deeplizard explains the importance of convolutions in deep learning.
In deep learning, convolution operations are the key components used in convolutional neural networks. A convolution operation maps an input to an output using a filter and a sliding window. Use the interactive demonstration below to gain a better understanding of this process.