The Data Exchange with Ben Lorica

270 Episodes

1. Auditing machine learning models for discrimination, bias, and other risks

   Published: 8/26/2021
2. An oscilloscope for deep learning

   Published: 8/19/2021
3. What’s new in data engineering

   Published: 8/12/2021
4. The evolution of the data science role and of data science tools

   Published: 8/5/2021
5. Data Augmentation in Natural Language Processing

   Published: 7/29/2021
6. Storage Technologies for a Multi-cloud World

   Published: 7/22/2021
7. Building a next-generation dataflow orchestration and automation system

   Published: 7/15/2021
8. Building a flexible, intuitive, and fast forecasting library

   Published: 7/8/2021
9. Neural Models for Tabular Data

   Published: 7/1/2021
10. Training and Sharing Large Language Models

    Published: 6/24/2021
11. Questioning the Efficacy of Neural Recommendation Systems

    Published: 6/17/2021
12. Automation in Data Management and Data Labeling

    Published: 6/10/2021
13. Reinforcement Learning For the Win

    Published: 6/3/2021
14. How Companies Are Investing in AI Risk and Liability Minimization

    Published: 5/27/2021
15. The Future of Machine Learning Lies in Better Abstractions

    Published: 5/20/2021
16. Why You Should Optimize Your Deep Learning Inference Platform

    Published: 5/13/2021
17. AI Beyond Automation

    Published: 5/6/2021
18. Injecting Software Engineering Practices and Rigor into Data Governance

    Published: 4/29/2021
19. Building a data store for unstructured data and deep learning applications

    Published: 4/22/2021
20. How Technology Companies Are Using Ray

    Published: 4/15/2021