Statistical Talking Points in Last Week’s NFC Championship Game
Author(s): Dhruva Krishna Originally published on Towards AI. Key Terms Photo by Zoltan Tasi on Unsplash The NFC Championship last week saw the Buccaneers move forward to the Super Bowl, marking the 10th time Tom Brady has competed for a ring. The …
How to Make a Model with Textual Input Benefit From User’s Age
Author(s): Sebastian Poliak Originally published on Towards AI. Deep Learning How to Make a Model with Textual Input Benefit From User’s Age Enriching Sequential LSTM Model with Non-Sequential Features Sequence data can be found in various fields and use cases of Machine …
Create Your NAS Database Server on Raspberry Pi
Author(s): Louis Chan Originally published on Towards AI. Personal Motivation Database, but we need to fit it in a Raspberry Pi — Photo by Jan Antonin Kolar on Unsplash Network-Attached Storage (NAS) is a centralized well of data repository which is accessible …
Google’s Model Search is a New Open Source Framework that Uses Neural Networks to Build Neural Networks
Author(s): Jesus Rodriguez Originally published on Towards AI. The new framework brings state-of-the-art neural architecture search methods to TensorFlow. Source: https://github.com/google/model_search I recently started an AI-focused educational newsletter, that already has over 70,000 subscribers. TheSequence is a no-BS (meaning no hype, no …
TensorFlow: Speed Up NumPy by over 10,000x with GPUs
Author(s): Louis Chan Originally published on Towards AI. Code Photo by Marc-Olivier Jodoin on Unsplash If you have used Python for any data processing, you have most likely used NumPy (short for Numerical Python). It provides a rich arsenal of complex data …
AI in Finance Panel: Accelerating AI Risk Mitigation with XAI and Continuous Monitoring
Author(s): Anusha Sethuraman Originally published on Towards AI. Artificial Intelligence At the AI in Finance Summit, NY, in December 2020, Fiddler AI held a panel discussion on the state of responsible AI with a group of model risk specialists from the financial …